Distributed Multi-Modal Database Aerospike 8 Brings Support for Real-Time ACID Transactions

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Aerospike has announced version 8.0 of its distributed multi-modal database, bringing support for distributed ACID transactions. This enables large-scale online transaction processing (OLTP) applications like banking, e-commerce, inventory management, health care, order processing, and more, says the company.

As Aerospike director of product Ronen Botzer explains, large-scale applications all require some horizontal scaling to support concurrent load and reduce latency, which inevitably brings the CAP Theorem into play.

The CAP theorem states that when a network partitions due to some failure, a distributed system may be either consistent or available. In contrast, both of these properties can be guaranteed in the absence of partitions. For distributed database systems, the theorem led to RDBMS usually choosing consistency via ACID, with NoSQL databases favoring availability following the BASE paradigm.

Belonging to the NoSQL camp, Aerospike was born as an AP (available and partition-tolerant) datastore. Later, it introduced support for ACID with its fourth release by allowing developers to select whether a namespace runs in a high-availability AP mode or a high-performance CP mode. CP mode in Aerospike is known as strong consistency (SC) and provides sequential consistency and linearizable reads, guaranteeing consistency for single objects.

While Aerospike pre-8.0 has been great at satisfying the requirements of internet applications […] limiting SC mode to single-record and batched commands left something to be desired. The denormalization approach works well in a system where objects are independent of each other […] but in many applications, objects actually do have relationships between them.

As Botzer explained, the existence of relationships between objects makes transactions necessary, and many developers had to build their own transaction mechanism on top of a distributed database. This is why Aerospike built native distributed transaction capabilities into Database 8, which meant providing strict serializability for multi-record updates and doing this without hampering performance.

Aerospike distributed transactions have a cost, which includes four extra writes and one extra read, so it is important to understand the performance implications they have. Tests based on Luis Rocha’s Chinook database showed results in line with those extra operations, meaning that smaller transactions are affected most while overhead is amortized in larger ones. All in all, says Botzer,

Transactions perform well when used judiciously together with single-record read and write workloads.

ACID transactions display properties designed to ensure the reliability and consistency of database transactions, i.e., atomicity, consistency, isolation, and durability. They guarantee that database operations are executed correctly. If there is any failure, the database can recover to a previous state without losing any data or impacting the consistency of the data. BASE systems opt instead for being Basically Available, Soft-stated, and Eventually consistent, thus giving up on consistency.

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Distributed Multi-Modal Database Aerospike 8 Brings Support for Real-Time ACID Transactions

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MMS Sergio De Simone

Article originally posted on InfoQ. Visit InfoQ

Aerospike has announced version 8.0 of its distributed multi-modal database, bringing support for distributed ACID transactions. This enables large-scale online transaction processing (OLTP) applications like banking, e-commerce, inventory management, health care, order processing, and more, says the company.

As Aerospike director of product Ronen Botzer explains, large-scale applications all require some horizontal scaling to support concurrent load and reduce latency, which inevitably brings the CAP Theorem into play.

The CAP theorem states that when a network partitions due to some failure, a distributed system may be either consistent or available. In contrast, both of these properties can be guaranteed in the absence of partitions. For distributed database systems, the theorem led to RDBMS usually choosing consistency via ACID, with NoSQL databases favoring availability following the BASE paradigm.

Belonging to the NoSQL camp, Aerospike was born as an AP (available and partition-tolerant) datastore. Later, it introduced support for ACID with its fourth release by allowing developers to select whether a namespace runs in a high-availability AP mode or a high-performance CP mode. CP mode in Aerospike is known as strong consistency (SC) and provides sequential consistency and linearizable reads, guaranteeing consistency for single objects.

While Aerospike pre-8.0 has been great at satisfying the requirements of internet applications […] limiting SC mode to single-record and batched commands left something to be desired. The denormalization approach works well in a system where objects are independent of each other […] but in many applications, objects actually do have relationships between them.

As Botzer explained, the existence of relationships between objects makes transactions necessary, and many developers had to build their own transaction mechanism on top of a distributed database. This is why Aerospike built native distributed transaction capabilities into Database 8, which meant providing strict serializability for multi-record updates and doing this without hampering performance.

Aerospike distributed transactions have a cost, which includes four extra writes and one extra read, so it is important to understand the performance implications they have. Tests based on Luis Rocha’s Chinook database showed results in line with those extra operations, meaning that smaller transactions are affected most while overhead is amortized in larger ones. All in all, says Botzer,

Transactions perform well when used judiciously together with single-record read and write workloads.

ACID transactions display properties designed to ensure the reliability and consistency of database transactions, i.e., atomicity, consistency, isolation, and durability. They guarantee that database operations are executed correctly. If there is any failure, the database can recover to a previous state without losing any data or impacting the consistency of the data. BASE systems opt instead for being Basically Available, Soft-stated, and Eventually consistent, thus giving up on consistency.

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MongoDB, Inc. (NASDAQ:MDB) Stock Holdings Lifted by MN Wealth Advisors LLC

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MN Wealth Advisors LLC lifted its holdings in MongoDB, Inc. (NASDAQ:MDBFree Report) by 59.7% during the fourth quarter, according to the company in its most recent filing with the SEC. The fund owned 4,113 shares of the company’s stock after buying an additional 1,537 shares during the quarter. MN Wealth Advisors LLC’s holdings in MongoDB were worth $958,000 as of its most recent filing with the SEC.

A number of other large investors also recently modified their holdings of MDB. CWM LLC lifted its position in shares of MongoDB by 5.0% in the 3rd quarter. CWM LLC now owns 3,269 shares of the company’s stock worth $884,000 after buying an additional 156 shares during the last quarter. Creative Planning lifted its position in MongoDB by 16.2% in the 3rd quarter. Creative Planning now owns 17,418 shares of the company’s stock valued at $4,709,000 after purchasing an additional 2,427 shares during the last quarter. Bleakley Financial Group LLC lifted its position in MongoDB by 10.5% in the 3rd quarter. Bleakley Financial Group LLC now owns 939 shares of the company’s stock valued at $254,000 after purchasing an additional 89 shares during the last quarter. Blue Trust Inc. lifted its position in MongoDB by 72.3% in the 3rd quarter. Blue Trust Inc. now owns 927 shares of the company’s stock valued at $232,000 after purchasing an additional 389 shares during the last quarter. Finally, Slow Capital Inc. lifted its position in MongoDB by 9.4% in the 3rd quarter. Slow Capital Inc. now owns 17,399 shares of the company’s stock valued at $4,704,000 after purchasing an additional 1,497 shares during the last quarter. 89.29% of the stock is currently owned by institutional investors.

MongoDB Price Performance

MongoDB stock opened at $289.63 on Friday. The firm’s 50 day simple moving average is $262.66 and its 200-day simple moving average is $272.02. The company has a market cap of $21.57 billion, a P/E ratio of -105.70 and a beta of 1.28. MongoDB, Inc. has a fifty-two week low of $212.74 and a fifty-two week high of $488.00.

MongoDB (NASDAQ:MDBGet Free Report) last posted its quarterly earnings results on Monday, December 9th. The company reported $1.16 EPS for the quarter, topping the consensus estimate of $0.68 by $0.48. The business had revenue of $529.40 million during the quarter, compared to analysts’ expectations of $497.39 million. MongoDB had a negative net margin of 10.46% and a negative return on equity of 12.22%. The firm’s quarterly revenue was up 22.3% compared to the same quarter last year. During the same period last year, the company posted $0.96 earnings per share. On average, analysts expect that MongoDB, Inc. will post -1.78 EPS for the current fiscal year.

Wall Street Analyst Weigh In

Several analysts recently weighed in on MDB shares. Rosenblatt Securities started coverage on shares of MongoDB in a research report on Tuesday, December 17th. They issued a “buy” rating and a $350.00 price objective on the stock. JMP Securities reiterated a “market outperform” rating and issued a $380.00 price objective on shares of MongoDB in a research report on Wednesday, December 11th. Macquarie began coverage on shares of MongoDB in a research report on Thursday, December 12th. They issued a “neutral” rating and a $300.00 price objective on the stock. Oppenheimer boosted their price target on shares of MongoDB from $350.00 to $400.00 and gave the stock an “outperform” rating in a research report on Tuesday, December 10th. Finally, Canaccord Genuity Group boosted their price target on shares of MongoDB from $325.00 to $385.00 and gave the stock a “buy” rating in a research report on Wednesday, December 11th. Two analysts have rated the stock with a sell rating, four have issued a hold rating, twenty-three have issued a buy rating and two have given a strong buy rating to the company’s stock. Based on data from MarketBeat.com, the stock presently has an average rating of “Moderate Buy” and an average price target of $361.00.

Get Our Latest Stock Report on MDB

Insider Buying and Selling

In other MongoDB news, CAO Thomas Bull sold 1,000 shares of MongoDB stock in a transaction that occurred on Monday, December 9th. The shares were sold at an average price of $355.92, for a total value of $355,920.00. Following the completion of the sale, the chief accounting officer now directly owns 15,068 shares in the company, valued at $5,363,002.56. The trade was a 6.22 % decrease in their ownership of the stock. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is available through the SEC website. Also, Director Dwight A. Merriman sold 2,000 shares of MongoDB stock in a transaction that occurred on Monday, November 25th. The shares were sold at an average price of $349.17, for a total transaction of $698,340.00. Following the completion of the sale, the director now owns 1,124,006 shares of the company’s stock, valued at $392,469,175.02. This trade represents a 0.18 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Over the last three months, insiders sold 43,094 shares of company stock worth $11,705,293. 3.60% of the stock is owned by company insiders.

MongoDB Company Profile

(Free Report)

MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB.

Read More

Institutional Ownership by Quarter for MongoDB (NASDAQ:MDB)

This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.

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MarketBeat keeps track of Wall Street’s top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on… and MongoDB wasn’t on the list.

While MongoDB currently has a “Moderate Buy” rating among analysts, top-rated analysts believe these five stocks are better buys.

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16,180 Shares in MongoDB, Inc. (NASDAQ:MDB) Bought by Peregrine Investment Management Inc.

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Peregrine Investment Management Inc. purchased a new stake in MongoDB, Inc. (NASDAQ:MDBFree Report) during the fourth quarter, according to its most recent filing with the SEC. The fund purchased 16,180 shares of the company’s stock, valued at approximately $3,767,000. MongoDB comprises about 2.2% of Peregrine Investment Management Inc.’s portfolio, making the stock its 24th largest holding.

Several other hedge funds have also bought and sold shares of MDB. Hilltop National Bank grew its holdings in shares of MongoDB by 47.2% in the fourth quarter. Hilltop National Bank now owns 131 shares of the company’s stock valued at $30,000 after purchasing an additional 42 shares in the last quarter. Brooklyn Investment Group bought a new position in MongoDB during the third quarter valued at $36,000. Continuum Advisory LLC grew its stake in shares of MongoDB by 621.1% in the 3rd quarter. Continuum Advisory LLC now owns 137 shares of the company’s stock worth $40,000 after buying an additional 118 shares in the last quarter. Versant Capital Management Inc raised its position in shares of MongoDB by 1,100.0% during the 4th quarter. Versant Capital Management Inc now owns 180 shares of the company’s stock valued at $42,000 after buying an additional 165 shares in the last quarter. Finally, Wilmington Savings Fund Society FSB bought a new position in shares of MongoDB in the 3rd quarter valued at about $44,000. Hedge funds and other institutional investors own 89.29% of the company’s stock.

Wall Street Analyst Weigh In

MDB has been the topic of several analyst reports. The Goldman Sachs Group boosted their price objective on MongoDB from $340.00 to $390.00 and gave the stock a “buy” rating in a research note on Tuesday, December 10th. Rosenblatt Securities initiated coverage on MongoDB in a report on Tuesday, December 17th. They set a “buy” rating and a $350.00 price target on the stock. Morgan Stanley lifted their price objective on shares of MongoDB from $340.00 to $350.00 and gave the stock an “overweight” rating in a research note on Tuesday, December 10th. Monness Crespi & Hardt downgraded shares of MongoDB from a “neutral” rating to a “sell” rating and set a $220.00 target price on the stock. in a research note on Monday, December 16th. Finally, Canaccord Genuity Group lifted their price target on shares of MongoDB from $325.00 to $385.00 and gave the stock a “buy” rating in a research note on Wednesday, December 11th. Two research analysts have rated the stock with a sell rating, four have assigned a hold rating, twenty-three have given a buy rating and two have issued a strong buy rating to the stock. According to MarketBeat.com, the company presently has an average rating of “Moderate Buy” and a consensus target price of $361.00.

Read Our Latest Research Report on MongoDB

MongoDB Trading Down 1.1 %

Shares of NASDAQ:MDB opened at $289.63 on Friday. MongoDB, Inc. has a 12-month low of $212.74 and a 12-month high of $488.00. The business’s fifty day simple moving average is $262.66 and its 200-day simple moving average is $272.02. The company has a market capitalization of $21.57 billion, a PE ratio of -105.70 and a beta of 1.28.

MongoDB (NASDAQ:MDBGet Free Report) last released its quarterly earnings results on Monday, December 9th. The company reported $1.16 earnings per share (EPS) for the quarter, topping the consensus estimate of $0.68 by $0.48. MongoDB had a negative net margin of 10.46% and a negative return on equity of 12.22%. The business had revenue of $529.40 million for the quarter, compared to analyst estimates of $497.39 million. During the same period in the previous year, the company earned $0.96 earnings per share. The business’s revenue for the quarter was up 22.3% on a year-over-year basis. Research analysts predict that MongoDB, Inc. will post -1.78 EPS for the current year.

Insider Activity at MongoDB

In related news, Director Dwight A. Merriman sold 2,000 shares of the company’s stock in a transaction that occurred on Monday, November 25th. The stock was sold at an average price of $349.17, for a total value of $698,340.00. Following the sale, the director now owns 1,124,006 shares in the company, valued at $392,469,175.02. This represents a 0.18 % decrease in their ownership of the stock. The sale was disclosed in a filing with the Securities & Exchange Commission, which is available at this hyperlink. Also, CAO Thomas Bull sold 1,000 shares of MongoDB stock in a transaction that occurred on Monday, December 9th. The shares were sold at an average price of $355.92, for a total transaction of $355,920.00. Following the sale, the chief accounting officer now owns 15,068 shares of the company’s stock, valued at approximately $5,363,002.56. The trade was a 6.22 % decrease in their ownership of the stock. The disclosure for this sale can be found here. Insiders sold 43,094 shares of company stock valued at $11,705,293 in the last three months. 3.60% of the stock is owned by insiders.

MongoDB Company Profile

(Free Report)

MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB.

Read More

Institutional Ownership by Quarter for MongoDB (NASDAQ:MDB)

This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.

Before you make your next trade, you’ll want to hear this.

MarketBeat keeps track of Wall Street’s top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis.

Our team has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on… and none of the big name stocks were on the list.

They believe these five stocks are the five best companies for investors to buy now…

See The Five Stocks Here

Before you consider MongoDB, you’ll want to hear this.

MarketBeat keeps track of Wall Street’s top-rated and best performing research analysts and the stocks they recommend to their clients on a daily basis. MarketBeat has identified the five stocks that top analysts are quietly whispering to their clients to buy now before the broader market catches on… and MongoDB wasn’t on the list.

While MongoDB currently has a “Moderate Buy” rating among analysts, top-rated analysts believe these five stocks are better buys.

View The Five Stocks Here

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Database Hearts and Arrows – by John Foley – Substack

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Postgres vs. MongoDB and the death of SQL?

Hello and welcome to the Cloud Database Report! I’m John Foley, a long-time tech journalist, including 18 years at InformationWeek, who then worked in strategic comms at Oracle, IBM, and MongoDB. I invite you to subscribe, share, comment, and connect with me on LinkedIn.

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Credit: Created by Gemini

Happy Valentine’s Day!

Here’s some data for you: Nearly 1 billion roses are expected to be imported into the U.S. for sharing with that special someone, at an average cost of $90.50 per dozen. If you take the flower industry and throw in some chocolates and candle-lit dinners, the economic boost is about $27.5 billion, according to Perplexity. You gotta love that!

It’s the price we pay for expressions of friendship and romance, although in the competitive database industry, we still have our differences. My LinkedIn feed recently has exposed a few areas where people are at odds over platforms and practices. Cupid’s arrows are hitting where it hurts.

Postgres vs. MongoDB

Case in point: There was a lively thread on one of the oldest of database debates: SQL vs. NoSQL.

It was prompted by a post by Peter Zaitsev, founder of Percona, who pointed out that Postgres (a SQL database) is growing in popularity while MongoDB (NoSQL) has been in slight decline. A graph on Zaitsev’s LinkedIn post shows the trend lines.

Percona has a foot in both camps — it supports SQL (Postgres, MySQL) and NoSQL (MongoDB).

Some of the commentary:

“MongoDB’s strategy prioritizes the developer experience, claiming to accelerate time-to-market (TTM) by 10x. Developers love it, but in practice, results often disappoint.”

“Schema less, SQL less world is easy at first glance. But is a big technical debt for the long term. It becomes very painful down the line.”

“Comparing MongoDB and Postgres is naive thing to do. They are for two different purposes and they are not a replacement to each other…”

“I also think MongoDB deserves more credit for eventually delivering on what they marketed — a robust, scale-out cluster for OLTP.”

SQL’s tombstone

That’s the gist of the SQL vs. NoSQL polemic, but not the end of it.

Lekhana Reddy, founder of Storytelling by Data, caused a kerfuffle with a LinkedIn post that headlined “SQL IS DEAD!!” The influencer and tech creator included an image of a tombstone with SQL sketched into it.

What happened that caused SQL to bite the DB dust? According to Reddy, Uber has developed a natural language query tool that obviates the need for the more arcane SQL programming.

Yet, the report of SQL’s death was greatly exaggerated, by Reddy’s own admission. “SQL isn’t dead it’s evolving,” she added.

The hoax drew more than 900 comments on Reddy’s post. Some samples:

“my take: SQL WILL not die before us!”

“SQL and other programming languages are not dead until AI generates its own language and data storage.”

“AI-assisted SQL won’t replace data professionals, it will enhance their capabilities.”

A relationship in the cloud

The good vibes came a day early for SAP and Databricks. When SAP CEO Christian Klein announced the launch of SAP Business Data Cloud in partnership with Databricks, one observer responded simply:

“💙 ❤️”

Quote of the day

I will wrap up with one of my favorite literary quotes below.

“Love loves to love love.”

Do you know who wrote it? Leave a comment.


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NoSQL Database Market Set to Reach $50.39 Billion by 2029 with – openPR.com

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NoSQL Database Market Overview

NoSQL Database Market Overview

What Is the Estimated Market Size and Growth Rate for the NoSQL Database Market?
The dimension of the NoSQL database market has seen a significant surge in the past few years. Experts predict a rise from $11.6 billion in 2024 to $15.59 billion in 2025, translating to a compound annual growth rate (CAGR) of 34.4%. Factors contributing to this growth over the historical period involve an escalation in data volume, demand for scalable solutions, the failings of conventional databases, the influx of big data analytics, proliferation of web and mobile apps, desire for flexible data models, and progress in cloud computing technology.

In the course of the coming years, the NoSQL database market is projected to observe remarkable growth, with expectations to reach $50.39 billion in 2029 and a compound annual growth rate (CAGR) of 34.1%. Factors contributing to the anticipated growth during this forecasted period include the rise of IoT devices, the growing application of artificial intelligence, the need for instant data processing, the extension of distributed systems, the increasing growth of e-commerce platforms, a heightened necessity for data security, and advancements in database tech. Notable trends within this period are expected to include the proliferation of multi-model databases, the progression of database automation, the blend with machine learning, the advent of edge computing, increased data privacy features, ground-breaking strides in query optimization, and the broadening of database-as-a-service solutions.

What Are the Forces Behind the Rapid Growth of the NoSQL Database Market?
Expectations of a rise in demand for online gaming and multimedia consumption are contributing to the predicted expansion of the NoSQL database market. Online gaming and multimedia consumption encompass online-accessible media content, such as music, videos, and games, and interactive entertainment. The surge in digitized forms of enjoyment, technological innovations, and the prevalence of high-speed internet worldwide are factors behind this increased demand. The role of NoSQL databases is crucial in managing the vast amounts of unstructured data, real-time interactions, and in ensuring high-performance queries, ultimately resulting in better user experiences and data processing for intricate applications. A study conducted by the Office of Communications (Ofcom), a UK-based governmental broadcasting and telecommunications regulator, in June 2022, stated that individuals in the 13 to 64 age range spent approximately seven and a half hours weekly, equating to about an hour daily, on online gaming. Hence, the rising demand for online gaming and multimedia consumption are key drivers behind the NoSQL database market.

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Who Are the Dominant Companies Influencing NoSQL Database Market Trends?
Major companies operating in the NoSQL database market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise (HPE), Databricks Inc., MongoDB Inc., Elastic NV, The Apache Software Foundation, Redis Labs Ltd., Neo4j Inc., DataStax Inc., Couchbase Inc., InfluxData Inc., Aerospike Inc., MapR Technologies Inc., TigerGraph Inc., InfiniteGraph Inc., Basho Technologies Inc., VoltDB Inc., OrientDB Inc., Fauna Inc., NuoDB Inc., RavenDB Ltd.

How Is the NoSQL Database Market Evolving?
The key players in the NoSQL database sector are leveraging strategic alliances to augment technology integration and broaden their consumer base. Such partnerships usually symbolize the cooperative endeavor between several organizations pooling their assets, proficiency, and dedication to attain mutual targets. Case in point, in December 2022, Taashee Linux Services Private Limited (TLSPL), a tech and software services company from India, entered into a partnership with open-source NoSQL document database firm RavenDB, based in Israel. This joint venture is designed to grant access to RavenDB’s superior attributes like high-performance, entirely ACID-compliant operations, automatic indexing, and exhaustive text search capabilities to Taashee’s clients. The collaboration will bolster Taashee’s capacity to deliver tailor-made, scalable database solutions aligning with unique business requirements, principally for applications necessitating high transaction precision and efficient data management across multiple platforms.

What Are the Different Segmentations in the NoSQL Database Market?
The NoSQL databasemarket covered in this report is segmented –

1) By Type: Key-Value Store, Document Database, Column Based Store, Graph Database
2) By Organization Size: Small And Medium Enterprises, Large Enterprises
3) By Application: Data Storage, Mobile Apps, Web Apps, Data Analytics, Other Applications
4) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI), Retail And E- Commerce, Healthcare And Life Sciences, Government And Public Sector, Telecom And Information Technology (IT), Manufacturing

Subsegments:
1) By Key-Value Store: Distributed Key-Value Stores, In-Memory Key-Value Stores, Persistent Key-Value Stores, Caching Solutions
2) By Document Database: Schema-Free Document Databases, Self-Describing Document Databases, Multi-Model Document Databases, Search-Optimized Document Databases
3) By Column-Based Store: Wide-Column Stores, Time-Series Column Stores, Column Family Stores, Distributed Column Stores
4) By Graph Database: Property Graph Databases, RDF Graph Databases, Multi-Model Graph Databases, Graph Analytics Platforms

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Which Region Is at the Forefront of the NoSQL Database Market?
North America was the largest region in the NoSQL database market in 2024. The regions covered in the NoSQL database market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

What Is Covered In The NoSQL Database Global Market Report?

– Market Size Analysis: Analyze the NoSQL Database Market size by key regions, countries, product types, and applications.
– Market Segmentation Analysis: Identify various subsegments within the NoSQL Database Market for effective categorization.
– Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
– Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
– Market Contribution: Evaluate contributions of different segments to the overall NoSQL Database Market growth.
– Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
– Industry Challenges: Analyze challenges and risks affecting the NoSQL Database Market.
– Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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Presentation: 5 Steps to Building a Personal Brand for Elevating Your Influence

MMS Founder
MMS Pablo Fredrikson

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Transcript

Fredrikson: My name is Pablo. I’m going to be talking about building a personal brand. Everyone has a personal brand. You already have a personal brand. Even though maybe you don’t have an online presence and people say, “I don’t have social media. I don’t use LinkedIn, or I don’t use Twitter”, or something like that. That is a personal brand. Or maybe you have like a generic online presence, like a basic LinkedIn profile, a basic Twitter account, or a basic GitHub account, that’s also your personal brand. Or maybe your internal personal brand inside the company, is also really important, the way that you talk, the way that you present yourself with your teammates, it’s also your personal brand.

This is an example. I have a YouTube channel. I have this character or this persona online called peladonerd, which means bold and nerd, easy to remember. This is the way I use Slack on my community Slack. This is just my handle, a picture of a cartoon based on Rick and Morty. This is the way I type on that Slack community. This is my work Slack profile. As you can see, it’s a different one. It has my real name, a real picture. The way I type is also different. I have different personas or different brands depending on my audience.

Why Do You want to Build or Elevate Your Brand?

First, when you want to build your personal brand, you have to know what’s your goal? What’s the idea of your brand? What do you want to do? Maybe you are transitioning roles. Maybe you want to build credibility in a new field. Maybe you are moving from management to technical side. Or maybe you are passionate about music and you want to start a band, or something like that. Or maybe you are someone that is still learning how to develop, or maybe how to program, and it’s going to be a new field that you’re going to be entering. Or maybe you want to be a go-to expert in your field, inside your company, so you want to position yourself as a higher person and a better one. Or maybe you want to just progress in your career. You want to get noticed within your company or even your industry. This is actually really important, in my opinion.

I’ve seen this many times inside and outside my company, seniors that are too quiet and they don’t progress. They are really good technical people. They are perfectly capable, but because they are too quiet or they don’t show off what they are doing, they don’t get noticed, and sometimes they don’t get those promotions, because people don’t know what they’re doing. They know that they are technical experts, maybe, but they are not showing up and not showing their impact inside the company. Getting noticed is really important.

It’s really important as well to learn how to own problems. I remember a few years ago in my previous company, there was a TLS certificate that was going to expire. I remember talking with my manager at the time, and they were asking me, can you fix this problem? I said, let me check with the IT department, because I need to buy a new certificate. That day, the IT department wasn’t available. The person wasn’t available on the phone, so we couldn’t reach him, and we couldn’t buy the certificate because we didn’t have a card. My manager was also a new person, they didn’t have a company card. I didn’t because I was just an engineer. I don’t know why engineers don’t have company cards, but we don’t usually. I remember having this problem. I said, we need to buy this certificate. It’s only 100 bucks, but we don’t have the card. How do we solve this problem? It’s going to expire today, and our site is going down.

My boss was freaking out, “We have to solve this problem. This is something that needs to be fixed”. There was a lot of chaos at that moment. A lot of other things were breaking. I remember saying something like, “Don’t worry. I’ll figure it out. Go and check with your other teammates. Go solve other problems. I don’t know what managers do. Just go and have meetings, and just have a lot of meetings. I’ll solve this problem”. If I think about it right now, it’s obvious, I just paid the certificate with my card. I just bought the certificate, used my personal card. Solved the problem. Changed the certificate, all good. A few days later, the IT department came back, I said, “I had to buy a certificate with my card. You weren’t available”. They say, of course, no worries. We are going to refund you.

A few months later, we were having an offsite. That company was InVision, rest in peace. That company was 1000 people, all of them were remote. Every year or every two years, we had an offsite, and we went to the offsite in Phoenix. I remember passing by the CEO of the company, never had a meeting with him, never talked to him before. He saw me and said, “You’re Pablo, right?” Yes, I am Pablo. “I heard about your certificate thing. Thank you for that. That was awesome”. I said, “What? You know about that?” “Yes, I heard of it. Thank you very much. That was a great way to solve the problem”. I took a picture with him to have this proof. I’m going to tell this story someday, I said. I remember thinking about that and saying that was crazy. I just bought a certificate. I got noticed by the CEO of the company.

Then a few months later, they were talking in CEO meetings, whatever, all-hands, and they were saying like, yes, I know that if there is a problem and you have to check that dashboard, you go to Datadog and grab the dashboard that is made by Pablo, because he created a dashboard, and that is great. Thank you, Paulo. I said, what? This is my best friend now, the CEO of the company. Doing something like that, definitely, I got noticed by him, and it definitely helped. From then I got a promotion. I got messages from him saying, “Great work on this one. Maybe we can talk someday to do something else”.

Going back to, why do you want to build your brand? Maybe you just want to help others, making your company or industry a better place. This is important, because all the things that we do as staff or principal engineers, I believe is to make your company better and more valuable. You’re directly raising the value of the company by doing your job. I have conversations with friends, and they are not in the field, and they ask me, what do you do every day? I say, “I have meetings like managers, and I talk with people”. Why? I say, “I try to fix problems”. Which problems? “I just bought a certificate the other day. That was awesome”. I said, yes, but why?

The thing is that all of those small things, like helping others and making sure that the problems are fixed is adding value to the company. The engineers inside the company are going to be better, and that raises the value of the company. Also, if you are helping others as well outside your company, you are also making the industry a better place.

What Is Your Defining Expertise or Passion?

You need to decide, what do you want to be known for? What’s your defining expertise or passion? If the goal is a tech leadership role, maybe you can be a mentor, or you can try to help others by sharing your technology expertise. It is important to find out, what is important for the company. What does the company need that you can help with? What things that you can do that are unique for you are skills that want to be synonymous with your name? If people think about, let’s solve a problem. What is the dashboard I’m going to use? I’m going to use Pablo’s dashboard, because he knows about this stuff. Just try to get that. Just try to be top of mind for people.

When I was making these slides, I realized that actually these two steps might be interchangeable. You don’t need to first define your goal and then decide what you want to be known for. You can do it the other way around. Also, you can be changing all the time. Maybe after some time, you realize that your goal might change. That way, you can also change what you want to be known for. These are interchangeable, in my opinion.

Background

My name is Pablo. I am a principal SRE at Harness. I have 18 years of experience. I’m also a CNCF ambassador. CNCF is the Cloud Native Computing Foundation that basically created and helped develop and support projects like Kubernetes, Prometheus, and all of those great open-source tools. Because of this online persona and my personal brand, I also got invited to be an ambassador for the CNCF. I also have a YouTube channel where I make videos about these kind of technologies, Docker, Kubernetes, and all that, and also try to share what I do every day at work and what I think is the best way to help people, and make them better engineers and better people as well.

Know Your Audience

You need to definitely know your audience. Who is going to be watching or learning from you? When I started, my YouTube channel was named Pablo Fredrikson, which is my name. Then I changed it to Pelado Nerd. This is funny, because I remember making the first videos and chatting with people. They said, your channel sounds interesting. What’s the name of the channel so I can check it out? I said, Pablo Fredrikson. They said, what? How do you spell? Because in Spanish, Fredrikson is not an easy thing to spell or type. People were like, you have to spell that for me. It sucked a little bit. I realized, that’s a problem. That’s a barrier. People cannot find my channel because they don’t know how to type my name. I said, let’s find an easier way for people to find me. I said, Pelado, which means bold, and Nerd. It’s easy to remember. It’s easy to find.

The funny thing is that I was at KubeCon, talking with a Docker person, and I was mentioning my channel. I said, I make channels about Docker. Actually, my Docker video has like a million views, maybe we can work together. They said, that sounds like a good idea. How do I find your channel? Yes, Pelado Nerd. They say, what? How do I type that? You have to spell it out for me. It was funny because the audience definitely makes a difference. I had to change it depending on who is going to be watching my videos. My videos are all in Spanish, so that’s why it’s my name in Spanish.

Who Should Your Brand Influence?

Who do you want to influence with your brand? Maybe you want to influence your internal audience, which is your company, your industry. You have to say yes to visible projects. You have to build relationships across departments as well. I remember having an offsite a few years ago. We were talking about how to bring more customers to Split, our company. I was chatting with the marketing department, and they had a Twitter account, a LinkedIn account. I said something like, “I do have a YouTube channel where I make videos. I think I know a little bit about social media. Maybe we can work together. We can help each other”.

I had some suggestions of things that we can do in the Twitter account, maybe we can write some tutorials, make some videos, things like that. That was great, because, again, going back to what I do, is, I just try to make the company better, just try to make engineering or just getting customers. The goal of the company at that moment was to get more customers. How can I help to bring more customers? Installing nginx is not going to bring more customers, so I just need to help the company bring more customers. I have some experience with that, so maybe I can help a little bit.

It is really important as well, if you want to build those relationships and you want to be visible, is to join leadership or planning discussions, because you need to know what the company needs. This is something really normal. Usually, engineers don’t know what’s going on in the company. Engineers just install nginx, because they got that ticket that says, install nginx, so just go and do it. They don’t know why. Or maybe they know, but they don’t know the actual goal of the company. At that moment, the goal of the company was to get more customers. Why is installing nginx going to help the company get more customers? Maybe it’s not. Maybe it is. If you have that information, do you know why you are doing it? Maybe you can change it a little bit.

This is just an example, but maybe instead of nginx, Apache will bring more customers because we can have a partnership with some company, or something like that. Maybe instead of nginx, we can do Apache or web server. It is important to know what is the company needing at the moment. For external audience, let’s say that you want to build your personal brand outside the company, maybe for the industry. You are aiming for a broader industry presence. Think about skills that you already know that you can help other people with. Maybe you can write tech blogs, or make videos, speak at meetups or conferences, or maybe just contribute to open-source projects. Just helping people helps. Helping people makes everyone better, and makes the world a better place.

Considerations to Have in Mind

You need to build a presence that reflects you, but also need to be careful. These are a few considerations to have in mind, in my experience. First of all, it’s really hard to separate your job and your online persona. When I was being hired, that was a good thing, of course, but it might be a bad thing as well. Because people say, I don’t like this YouTube video. The video is about things that I don’t like, so we are not going to hire him. In my case, it was a good idea. It’s really hard to separate your job. People in your company will find you online. Be careful with that: things that you share, things that you do online. Be careful with maybe things that you post or tweet, people will find it.

Also, try to align your public brand versus your internal brand. If your public brand is about making videos about Docker and Kubernetes, obviously it will be nice to have the same persona inside the company, you are the guy from Docker and Kubernetes. If they don’t align, maybe it’s time for a change. Maybe it’s time for a change either in your online persona or public persona versus the internal one. Maybe you need to get a new job, or maybe you need to change your online persona or the public one. Obviously, talk with your manager and director about your online persona, make sure they’re ok with it. Have it in writing. This is important as well, because they can say, yes, that’s cool.

Then maybe you get an email from the HR department, or maybe the lawyer of the company saying that it’s not cool. You don’t have any proof about saying, I got a conversation two years ago with my manager who doesn’t work here anymore, and he said it was ok. That’s another great idea. You have to have it in writing. If you’re looking for a new job, also talk about this during the interviews. Again, make sure that they are ok with it. Have it in writing. This is not bragging, or maybe it is a little bit, but you can use it to your advantage.

For example, if you’re having an interview, just say something like, “I built these servers. I built this program inside my company. I also made a video about it in YouTube, if you want to check it out”. They will say something like, you have a YouTube channel? “Yes, I made YouTube videos about this”. People can like that. Maybe they don’t, but because people will find it, it’s better to have that conversation beforehand. Also make sure they’re ok with it.

Find and Share Your Passion Consistently

What’s your passion? What are you going to be sharing? I know that most people have a friend that cannot stop talking about dinosaurs, or cannot stop talking about a topic. You go out, have a meal with them, they say, “This dinosaur is amazing. It has six legs”. You need to find the thing that you’re passionate about, and you cannot stop talking about it, because every time you go have a meeting with them, they can’t stop talking about it. That is something that they want to share. That is something that you can share as well. I remember watching a video, this one is called, “Brown; color is weird”. It has 4.7 million views. I was watching this video, fascinated about it. This guy made a 21-minute video about the color brown. It’s great. You should check it out.

When I was watching this video, being fascinated about it, I was thinking, this guy really likes the color brown, or really likes being nerd about it, about colors, about things. Before that, 10 or 15 years ago, it was impossible for this guy to have an audience, in my opinion. Who is going to be interested about the color brown? Maybe some people are, I am, and maybe you are, but it’s really hard to find the audience. That’s what YouTube makes, or the internet makes in general, finds the audience for your niche, for the things that you’re passionate about. This guy made a video about the color brown, and it has 4.7 million people actually watching this video. I don’t think that that was possible 20 years ago.

Be Ready to Pivot

Also, be ready to pivot. Because maybe your audience will change, maybe the time changes, maybe your dinosaurs change. Maybe you don’t like dinosaurs anymore, you like cars, or you like running. Things like that. I actually started running a couple of years ago. If you saw me two years ago, this guy cannot run. I cannot run that well today. Now I have another YouTube channel where I make videos about running. It’s a small one, but yes, try to share what I do. I like doing it. It’s free to upload in YouTube. Uploading a video before wasn’t possible. It was really hard or really expensive to upload a video and share it with someone. Now you can just put it on YouTube. It’s free. Be ready to pivot. Maybe your interests are going to change. Maybe your audience will change. You can change your content as well.

Wrap-up and Key Takeaways

First, you want to define your goal. Then you want to decide what you want to be known for. You can change this and maybe change your goal and change the second one. Understand and engage with your audience. Be careful what you choose or share. Find and share your dinosaurs. You are probably already learning about dinosaurs in your free time, or the passion that you have. I remember having a conversation with someone, and they asked me, how do you find the time to do everything? Because I have a full-time job, and also have two kids. I have my YouTube channel. I try to run and do other things. How do you find the time to do all of that? The secret is not a secret, it’s just I am already investigating and learning about the things that I want to make videos about every day at my job.

The other day, I was investigating about a technology called APISIX, which is an Apache API gateway. I had to investigate a little bit, install it on a few servers, and then I had to write a documentation, share it with all the engineering platform team. When I was investigating and writing a documentation, I thought about the video that I was going to make about it. Actually, the documentation that I wrote was actually the script for the video. I just was thinking about how to share this technology with my internal company, with my internal teammates, and also, at the same time, how to share this with the public company or the public audience. I wrote the documentation. It was like a video.

If you read that documentation, it said something like, this is called APISIX. It’s an API gateway. What is an API gateway? It’s this and that. What can you do about it? You can do something like this. You’re still not surprised? Maybe you can do something like this. Not surprised yet? You can do something like this. It was a YouTube video, but I wrote it as a documentation. I sent it over. My teammates liked it. You can use the time that you already are getting paid for, which is your job, to investigate about that. Or maybe if your passion is not something that you have in your job, again dinosaurs. You are already investigating that in your free time. Maybe over the weekend, you read about them. You are doing the research that you need in order to share that. Just be a good person. I think that’s my step number six.

If you are a good person, you will help others. If you are a good person, you will care about others, and care about the company, what the company needs, and what the industry needs, and what your teammates need, and what your friends need. If you are a good person, everyone will benefit.

You can start today, actually. Maybe you can write a blog post. Maybe you can share something that you investigated during your work hours and share it online. Again, check with your manager, check with your director, have it in writing. For sure, they will say something like, yes, of course, it’s fine. I have a ton of examples of things that we did during our work hours and our director said, write a blog post about it and share it with others, publicly. Of course, they will have to check it out to make sure that no sensitive information is shared, but you can do it. I’m sure they will say yes. Also, ask a colleague from another department, if they need help with a project that you are interested in.

For example, let’s say that you are interested in marketing. Maybe you have a tech background, but you are interested in social media, so just chat with the marketing department. Say, how can I help? Or maybe you’re passionate about cars. I remember having an interview as well with a guy who I was interviewing. We were talking about documentation. He told me that he loves writing documentation. I don’t know how we got to that point, but he loved writing documentation. I said, really? Why? He said, I love writing documentation. Can you show me an example or something like that? He said, yes, can I send you over later? Yes. After I finished the interview, he sent me the documentation. I didn’t ask for any details. I didn’t say, send me a documentation of how to install whatever. No, I just said, send me whatever.

He sent me a documentation, and said something like, “This is what I did. I created a server. I set it up with Docker Compose. I created a Wikipedia page, hosted it myself. I changed the DNS by doing this and that. Also, I created a domain, pointed it over, and this is the documentation I wrote”. He not only wrote the documentation, he also told me how he did it, and also obviously sharing his knowledge about Docker and all of that. The documentation was about how to change the filter of an air conditioning in a Mustang 98, or something like that. I was like, that’s fascinating, because he didn’t make a documentation on how to install Docker.

He made documentation about what he’s passionate about, and it was his car. The documentation was amazing. He had pictures and everything, all the steps. I don’t know anything about cars, but sounds legit. Seems like a good tutorial on how to change that. I hired him because of that. Sharing something like that, your passion, will definitely make the world a better place. You can get a job, or you can get good things about it.

Talk to your boss about your passions. Maybe they can give you ideas of things that you can do. You say something like, I like cars. We have a new car department, or maybe we have a new customer, it’s a car company. Maybe you can be there and you can just talk to them about cars, whatever. Help someone today. Just go send an email saying something like, do you need help with that? I can give you a hand. I remember a year ago, an application was dying all the time, and it was getting out of memory. Because of Kubernetes, in Kubernetes you can set like a check, and if the pod fails that check, it will kill it and restart it.

Actually, the problem wasn’t too bad, because it was fixing itself all the time. The memory was going up, Kubernetes was killing it. All was good. At the same time, it’s not a good idea to have a service going down all the time. You are using resources. You’re paying for it. It’s obviously better to fix it. I remember having this service going down all the time and saying to the team, fix your service. It’s going down all the time. They said, “Sure, I’ll fix it”. Days go by, the service is still dying. Fix it. “Sure, I’ll fix it”. Few days go over, still the service is going down. I remember saying, let’s change this. Instead of asking them to fix the problem, let’s try to help them to fix the problem. Maybe they don’t know how to do it. I’m not a developer. I don’t know anything about languages. How do I fix this problem?

Obviously, I don’t have the answer, but maybe I can help them. I just went over to their channel and said, seems like the service died again. Do you want to maybe hop into a Zoom call and we can talk about it and see what happens. Sure. We just went into a call, went to Pablo’s dashboard, and checked that, yes, seems like the memory was going up during these times. Seems like it was a specific timeframe. We did some search together. We tried to figure out what was the problem. I gave them information on how to find the problem, and they figured it out an hour later, because they already had the information, but they didn’t know how to find it. I just helped them.

The problem was fixed the day after. By helping them, I benefited myself. My team was happier. I didn’t get paged anymore. Yes, just helping them, easy. I remember after that, the team was actually using that dashboard all the time because they learned about it. They didn’t know about it earlier, and they now know about it. You can check my site, peladonerd.com.

Questions and Answers

Participant 1: It’s interesting to me that all your videos are in Spanish. How does interacting with two different languages, is it a different community? How has that been in general in your YouTube career?

Fredrikson: I don’t interact that much in English, at least on my YouTube channel. I do have some videos in English because I make interviews with all people, like Kelsey Hightower, for example. I also have a few interviews with people from Google. I also have an interview with our Docker guys, and those are in English and have subtitles. The way that I interact with them is just, I have subtitles for the English videos. I try to focus on the Spanish speaking people. I definitely can make English videos, obviously takes more time. There are a few tools that you can use to actually adapt, like dub your voice, and now with AI and all of that it’s easier.

It takes time, of course, and I don’t see that benefit, because I will have to basically dub all of my 400 videos. Currently it’s not possible to add an extra audio track to an already published video. I know this is too nerdy for YouTube. If you upload a video on YouTube, you can add different tracks, but you cannot modify an already published video. The only thing that you can do with an old video is add subtitles. I know that English speaking people don’t like subtitles that much, so I have a problem there. Maybe someday YouTube will allow you to add a track to a published video. In that case, I might do that.

Participant 2: Sometimes people feel they are very busy, and they assign some of the branding aspect to someone. What’s your advice in your career? Maybe advice that you can share, if it is possible or it’s advisable, which part of the aspects can you delegate? I know some people, the content writing, they give to some people to write, and then they just review. Then you put it on your handle, because people are busy. What’s your take on the balance between trying to create everything by yourself and trying to get people to help you, even if eventually you pay them?

Fredrikson: At first, probably you will be doing everything yourself. It’s going to be hard, it’s going to be long, and your videos are going to suck at first, for sure. After some time, you will get used to it, and you will find things that you can delegate. It’s really hard because it’s like your baby. You don’t want to give parts of your baby to someone else. Maybe you can get help from someone you trust. I remember watching a conversation with Mr. Beast, which is one really popular YouTuber. He said something like, it is really stupid for you to be spending eight hours on an edit for a video, plus four hours of recording, two hours investigating whatever, and all of that, because you don’t need to be doing all of those things yourself.

Also, if you can only dedicate eight hours to an edit, that means that it’s limited. The amount of time that you can add to it is limited. If you hire someone else to do the edit, they can maybe invest 24 hours to do the edit, because you don’t have that much time. You can delegate, and that will make the video better. I actually did that. I have my brother. He was looking for a job, and he didn’t know how to edit. I said, you will learn how to edit, and you will edit my videos. I will pay you for it. It’s a person I trust, so I know I can talk with him. Now my videos are better because he edits my videos. He can spend more time on them than the time I was able to spend.

Definitely, at first, you will be doing everything yourself. There are a lot of things that someone else can do. Actually, the only thing that you need to do if you are making a video about yourself is just being in front of the camera, because you cannot hire someone, unless you have a twin brother or something. You have to be there in front of the camera. Everything else can be delegated. You can do something like that.

Participant 3: What goals did you start off with? How did those goals evolve over time?

Fredrikson: At first, I actually made a YouTube channel about vlogging. I watch YouTube all the time. I was following a vlogger called Casey Neistat. It was like really great videos about just going for a run, or having an ice cream. It was fascinating for me. I said, I’m going to do the same thing, just go for a run, get an ice cream, make a video about it, be a millionaire. Didn’t work because people didn’t know me, and obviously my videos weren’t that great either. I said, now that I know that my videos suck if I just go out for an ice cream, maybe I need to get people to know me or like me before they want to see my having an ice cream video. How do I make people find me? I’m going to make a video about Docker, because people will say, “Docker: From Newbie to Pro”, whatever it’s called. That’s actually the name of my video.

People will search for that, find me, hopefully like me. That way they will start seeing my other videos, like passion videos, which are the vlog ones. After some time, I realized that I suck doing those videos, so I just kept doing the Docker ones, because I already had some experience giving talks and all of that. I liked helping people. I liked teaching people about technologies. My YouTube channel changed a little bit to that. Actually, it was a new YouTube channel.

I also have the other channel that I made, about running, which is a mix between the two. Because it’s more vloggy. I’m going for a run. I went to the Lombard Street, the other way, the thing that you have to go up. That’s really hard. I got an alert in my watch, like, “Too hard, you’re doing it today. Your heart rate is really high”. It’s in the middle, because I make videos about running, and also try to teach a little bit about running.

Obviously, I don’t know anything about running. I try to teach the things that I’m learning every day, because I’m a nerd. I like learning. I learn every day. I learn about nutrition. I learn about how to run. I learn about shoes. I learn about all of that. Maybe just share what I’m learning every day. Maybe help some people. I actually got comments on my videos saying something like, “Now that I see that you lost some weight and you are running. I’m also a nerd, I don’t run. I prefer computers and games. Now I tried, and I went for a run. It was 10 minutes. Felt bad, but felt great after that. Thank you”. Trying to help people by showing what you’re doing is always better for everyone. Just be a good person.

Participant 4: How long have you had the YouTube channel? What’s the cadence of how frequently you do a new video? What keeps you motivated to keep producing content on the regular, and not getting burned out?

Fredrikson: Five years for this YouTube channel. The previous one was two or three years before. How often do I make videos? At first, I had a lot of time, because my kid was a baby, so he was sleeping all the time, and he didn’t require me to be running around. I made three videos a week, sometimes. Because I also had a lot of content. Because I wanted to talk about Docker, so let’s talk about Docker, containers, then talk about CPU, memory, then talk about whatever. It was easy for me, because there was a lot of things to talk about.

Then, Kubernetes, let’s talk about services, pods, then deployments, then the stateful set. I had a lot of content. Then my kid grew a little older. Now it requires more time. I also got a new kid now, so I don’t have time. I try to make one video a week, but I don’t record them one a week, because obviously that takes a lot of time. What I do is I try to investigate, batch process all of them. When my kid goes out for soccer practice, and my wife takes my baby with them, that means I have one hour and a half to record videos. I batch, investigate three or four videos. Why I record them when they are not around, because of the screen, the sound, and all of that. I try to record a few, three or four videos in batch, and just send them to my brother. I have a calendar in Notion with a Kanban column like, edit, produce a thumbnail, whatever, and just have the date, so they just move over. He can check on the Kanban and say, what is the schedule, and all of that.

What I do for not getting burnout? It’s hard, because it’s like a startup. It’s like your second job, and if you don’t work, you don’t get money. For a startup, it’s like you have your own company, and you take vacations. It’s really expensive. Because you have to pay for the vacations and also pay for the time that you weren’t working. It’s hard, and you have to find a balance. Try to get breaks. I don’t post videos in January, so I take a month every year. The bad thing about it is that I have to record them in December, and have them ready during February. All of that. It’s not that easy. Find new technologies all the time.

Again, because I’m already investigating all the time during my work hours, I have topics and ideas. I have ideas from all the talks that we’ve seen in this amazing conference. I was at KubeCon, got a few ideas as well. I met with people, or just checked the comments of people, what they are looking for. The topics will never end. You have a lot of things to talk about.

Participant 5: I was wondering about the quality and keeping quality of the brand. You said your first video sucked. I believe you. All of our first videos would suck. Do you go back and delete them afterwards, or do you keep them and say, I was really crap back then, but now it’s much better?

Fredrikson: In my case, I try not to delete them unless there is something that is wrong, like I say something that is not correct. No, I don’t try to delete them. You can go to my channel and see my first video right there. It sucked. It’s a normal evolution. We all evolve over time. I’m sure that you all maybe think about yourself, that you’re in your best looks maybe. You look at a picture of you five years ago, saying, what was I thinking with that hair or with those clothes? It’s normal. You’re evolving. Everyone is evolving all the time and learning new things. You are a better engineer now than before, five years ago. Everything hopefully gets better over time. It’s a normal evolution. Your videos will suck at the beginning. You will get better about it. You will be more efficient.

At first, I set up my videos every time, like all the cameras and the lighting. I had to turn down everything. Now I have everything in one place. The camera is always fixed. The lighting is always fixed. All the lights are fixed. I just press a button, say something to Alexa, and turn on all my lights, just press record, and every video looks the same. It doesn’t take me time to start recording. I removed that variable. Also, the lighting, the sound, everything is in a perfect place. I don’t lose time by adjusting things. Everything is perfect or almost perfect. That allows me as well to improve a little by little every video, because, last week I saw that the lighting wasn’t great here, so I’m going to adjust it a little bit. Now it’s better. Let’s go and try to find small things to improve as well. Every time there is small improvements and the videos are getting better, hopefully.

Participant 2: Also, there is this fear. I don’t know how you deal with it. I’ve written many times. When I write, I’m about to push, then I think that, “There must be something better, there must be a better version of this document out there. Don’t bother. Just keep it”. That slows you down, because you have this feeling. I don’t know how you manage that as well.

Fredrikson: It’s hard. The quote I always think about when I’m thinking about that is, done is better than perfect. Just put a date on it, finish it, and just think about the same one.

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Podcast: Building Responsible AI Culture: Governance, Diversity, and the Future of Development

MMS Founder
MMS Inna Tokarev Sela

Article originally posted on InfoQ. Visit InfoQ

Transcript

Shane Hastie: Good day, folks. This is Shane Hastie for the InfoQ Engineering Culture podcast. Today I’m sitting down with Inna Tokarev Sela across 10 time zones. Inna, welcome. Thank you very much for taking the time to talk to us today.

Inna Tokarev Sela: Hi, Shane. Thank you for inviting me.

Shane Hastie: My normal starting point with these conversations is, who’s Inna?

Introductions [00:44]

Inna Tokarev Sela: Who is Inna? CEO and founder of Illumex. I started the company around four years ago, but I think the most interesting part professionally-wise is to speak about my passion for graphs, run graph technology. During my first degree in physics and computer science, I fell in love with graphs and my research thesis was around that. You might remember we didn’t have all this nice software we use today. So we used Matlab. And what I did is actually simulating geometrical forms over graphs to basically implement operational research methods and make them more efficient.

And since then, I am passionate about the graphs of neural nets and the combinations. This is what I did in my thesis. Basically developing algorithms, which are based in combination of graphs and neural net systems, specifically for healthcare domain.

This was in the beginning of my career and then I started my long journey at SAP. And it was really exhilarating to see how much you can achieve with the access to so many customers. So I was part of SAP HANA cloud platform, a team under the office of CTO. And got lucky to work with companies such as Walmart, Pacific Builder, Lockheed Martin, to help them with the journey to big data and cloud initiatives.

And of course, building use cases and business cases and the strategy around that. This is my background. I’m a mother and we as a family, we live in Tel Aviv, very close to the beach. So I do enjoy first morning and evening walks, seeing sunset. This is indulgences that we have.

Shane Hastie: Tel Aviv is a lovely city. So some key elements of generative AI. And this is the Engineering Culture podcast. So we are not going to talk about the APIs for accessing the AI tools, Sirini and others, my colleagues deal with all of that. Let’s start with the cultural impacts on teams. If we’re bringing generative AI into the software engineering space, what is that impact for us?

Cultural impacts of bringing AI into teams [02:58]

Inna Tokarev Sela: Bringing generative AI to any team bears a lot of cultural change. So given that you cleared up all this privacy issues and show them your tool, it’s important to understand how employees are going to use it. So education, “What’s the art of the possible?”, is imperative to any team. So in development team, we do use generative AI for testing, some code prototyping, but it’s really understanding how you can accelerate the adoption.

I do believe in access acceleration, due to the fact that at least 30% of development are mundane tasks, which are also necessary. So not every backend developer loves to write tests, right? And this is, for sure, something which could be automated. We actually, from my experience, you see lots of excitement in our development team around using generative AI, despite the fact that as a company and especially in development, age is above medium for startups. So we are 35, 37 on average. I see a lot of excitement about this new technology.

Shane Hastie: You blithely passed over let’s sort out the privacy and so forth. But, I know governance is an area that you are passionate about and concerned with. So it’s not that easy to just get the privacy thing right, and other elements of governance. Is it?

Governance when bringing in AI [04:23]

Inna Tokarev Sela: Sure. Governance is a big topic and especially in data, data management analytics space. To me, every aspect of data usage and software development around that historically involves lots of guardrails. So we have governance for data, for analytics, we have different audits and standards, GGBR and SOC 2 and just to name few.

Right now for generative AI, we have lack of standardization on many aspects. So we do have those EU ACT initiatives and other legislation initiatives, which do play some high-level requirements. But. I see that right now the majority of enterprises actually decide on their own standards, separate and we do not have lots of standardization about that.

But in general, I do believe that governance right now is not embedded enough in generative AI practice as it is, due to the fact that generative AI models are black boxes. And when fine-tune when they customize them on your own organizational data or build workflows around them, usually data scientists are mainly focused on feeding those models with test data and understanding the outputs, consistency.

For example, approaches which is called RAG, to make it as customizable as possible to make the models to understand your data. But, they couldn’t care less about governance. They do not understand the models enough even to customize them in majority of the cases, again, because as technology is a black box, they understand more and more about predictorization of this technology.

But, being able to plug in generative AI the same ways as we do plug in data management analytics into access controls, into governance mechanisms, which we already have in our organizations is imperative, I would say even more. So far as practitioners, we didn’t really govern our interactions too much. So we did have secure access of the interactions like security control and malicious software detection and so on and so forth. With generative AI, we match extent also and governance of interactions.

What I mean all those proverbial $1 tickets and SUVs, we need to make sure that not only underlying data access is governed and data quality is governed, but also interaction themselves. Is someone trying to prompt engineer your generative AI, are they asking questions which access data, which they might have access to. But, the model which answers those questions is trained on the data they do not have access to, and so on so forth. So it goes way beyond.

Shane Hastie: So what does that start to look like in practical terms? So who is holding the governance roles? How do we define those rules even?

Inna Tokarev Sela: I do believe that the future of GRC and governance roles as they are today, mainly in setting the standards, setting the standards and monitoring that implementations cater to those standards … I do believe that governance as a discipline, as everyday practice should be actually part of everyone’s job and especially domain experts. So domain experts think about people in sales and marketing and customer support. When you do have your context and reasoning built for generative AI by data scientists, you might want to have workflows, which embed domain expertise.

So why data scientists would decide how churn is calculated? Why data scientists should decide how upsell is defined in sales, right? So domain experts, there are conflicts in data and there are always conflicts in data, especially when connect enough data sources. I do not think that they shouldn’t be resolved on technical team sites. I do believe that domain experts should be involved more, especially because we expect those new generation of tools to provide self-service to data analytics and scale for domain experts. So we need to bring them as part of development as well.

Shane Hastie: It sounds to me, particularly in that transparency, that we’re looking to create or bring in some level of observability in the models, in the AI tool, whether it’s in the training or whether it’s in the processing. How do we do that?

Inna Tokarev Sela: I believe that observability in generative AI implementation should go all three levels, should adjust three levels. The first one is the data layer. Right? So AI-oriented data. If you data is healthy enough, if you have single source of truth, if you do not have single source of truth, of course, speaking about semantic modules, which are probabilistic and you would not like to have randomness around that. So AI-oriented data for starters.

Second layer is the governance. What exactly the policies that you would like to automate on generative AI? Generative AI, of course it’s about scale, so you cannot apply everything manually. You should build automated guard rails to enforce whatever policies you decided to enforce.

And the third one is this explainability layer, because if we speak about intelligence decision-making based on generative AI outputs, if it’s for development, or for business users to make decisions in the daily practice, it’s all about trusting the results. And results, when you have this answer 42, as a black box, you cannot really make decisions based on that.

So observability and transparency also goes to the explainability of generative AI outputs. How my promt was understood? Which data was it mapped to? What is the logic which was deduced from this prompt? Did this prompt goes through some certified semantics, which domain experts waived. So all of that should be in place. So three layers, data layer, governance layer and interaction layer with explainability.

Shane Hastie: I don’t see many organizations doing that at the moment.

Inna Tokarev Sela: I think most of the organization aspire to do it at the moment. I see more and more risk management requirements in generative AI projects, especially in highly regulated industries. And it goes to, of course, risk management goals to the bias and privacy concerns. But, it also goes to liabilities. Liabilities to make decisions based on potentially wrong outputs. So this risk management on accuracy of outputs, explainability of outputs and consistency and compliance of outputs becomes a pinnacle of generative AI implementations.

The second consideration would be total cost of ownership, because it’s very expensive to implement and customize over-the-shelf software for the enterprise needs. So this risk management to me becomes more and more established as a practice. And there are a plethora of solutions evolving in the space, from governance to cybersecurity to more offline tools for policy management and so on and so forth.

Shane Hastie: Dig into that policy management, because if I think from the stance of the technologist implementing this and bringing it in, they have got to provide the framing for these three layers to be in place. So let’s start and you said give us policies. Well, what does that framework, the technical implementation of “apply policies” look like?

Technical implementation of rules & policies [12:35]

Inna Tokarev Sela: Yeah. So think about policies as the vehicle to address a few things. First of all, it’s about quality of data. If data is representative, if it has standards of duplication, duplication levels and so on so forth. But also, if it’s even enough, it’s distributed enough. So for example, all the bias component. There are mechanisms to basically measure that and make sure that the data, which is fed into planting or even into training is even enough. So this is for starters. And this practices with LIME and other techniques already have been used for a while, so they exist. So this some data layer.

On a policies for the governance, think about them as you might want to propagate either your data source policies, or maybe your Azure ID or LDAP group policies that you have for your email use, your SharePoint use and all that. You want to propagate them automatically also for generative AI use and data, which is fed into generative AI.

So not have it as a silo and other silo create specifically for generative AI, but basically connecting it to our existing mechanism in organizations and interactions. Governance policies, they can go to, for example, the condition of patterns. This user coming from specific organization, let’s say, customer success, and suddenly they try to access financial information, maybe on-purpose, may not.

So there are different guardrails, which go not only to access policies, but also to intent, right? To understand the context of user, the context of the problem, the context of the data. And this is where I started my introduction with graphs. This is where graphs complete generative AI semantic models, to provide more and more context with those implementations.

Shane Hastie: A lot there and a lot for us to think about in terms of, what does governance look like in the implementation of generative AI? I think some good advice and a whole lot of things that our listeners can dig into. If I can switch topics a tiny bit, or quite a bit, the gender imbalance in tech. I know that your company is over 50% women. That’s pretty unusual.

Tackling the gender imbalance in tech [15:05]

Inna Tokarev Sela: It’s pretty unusual and intentional. I believe the talent is there and the talent is looking for environment, which can support specific balances. So every demographics requires a setup, which is the most adequate, and COVID taught all of us that we can be more flexible in the work environment from remote standpoint, from the hours standpoint and other aspects as well.

I think majority of software development companies, especially the big ones, software giants, are coming back to five days office policy. And I think it’s going to be discriminative to specific demographics on a scale. So in Illumex we’ve been happy and lucky to have this talent with us, but it does require specific setting to be facilitated, for sure.

Shane Hastie: So what are some of those policies? You mentioned flexibility and so forth. But, what are some of the concrete things that you’ve done at Illumex?

Concrete practices for flexibility [16:08]

Inna Tokarev Sela: It starts from the hiring process. Of course we only hire people who meet our standards. We do have a two days in office policy and those days could be flexible. We do support meetings, which are in core hours. It’s 10:00 AM to 4:00 PM, which means the majority of the people, either it’s fathers or the mothers can attend them without a disrupting the morning routine or the evening routine.

In general, we are flexible about sick days and out-of-office days for whatever reason. And this problem itself, because sometimes educational schedule could be disrupted and especially in this region it happens.

So of course, it’s you need to have home care. On the side, it shouldn’t be gender discriminative, because we want to have the same support for everyone in the company. And our kids ratio, I believe 2.3, among Illumex. We do have the dogs and we also have parents to dogs. So some people have dogs and cats. And to me we should support every needs and cater to the whatever flexibility everyone needs to. And also geographical. So geography wise, some employees might need full remote. Some employees commute could be longer than others and it should be taken into consideration as well.

Shane Hastie: Another thing I know that you are very passionate about and involved in is mentoring programs. How do we design and set up a good mentoring program?

Designing good mentoring programs [17:44]

Inna Tokarev Sela: I do believe in mentorship programs, which are specifically designed for female professionals. And this is due to the fact that communication is still different. So being heard or speak up does not come natural or does not come at ease, at just the same extent. And it’s all ego management in a group dynamics also comes to place. So I do believe in female-oriented networks, despite there is lots of conversations against that. And it bears fruit. So we see more and more female founders.

You can look at data companies are pretty wild growth of those numbers, but we also see data leaders. So chief data officers, heads of data, heads of analytics. Especially in this discipline of data analytics and generative AI, we see more and more female talent and I’m super happy to see that. I think balance is everything.

Shane Hastie: What’s the question I haven’t asked you that you would really like to share with the audience?

Inna Tokarev Sela: I’m really passionate about what future bears with all this new advancements and all those new technologies. It could be scary for some, because the change is accelerating and change is here. To me, as an industry software development, as data management industry, we under this overload of maintenance, of technical depth, of testing of all, let’s say, less creative tasks that we have on our plate every day. So we should embrace this innovation and use generative AI to augment our capacity.

And on a professional level, I’m passionate about application-free future. So who likes to go to 30 different interface over the day and have different tasks and different settings. So this is where I’m personally very passionate about and this is where illumex also helps companies to become closer to this future.

Shane Hastie: Well, a lot to think about there and a lot of good advice for our listeners. If people want to continue the conversation, where do they find you?

Inna Tokarev Sela: I am very active on LinkedIn. The social network has lots to offer, so please do connect to me on LinkedIn and I will be happy to continue the conversation there.

Shane Hastie: Thank you so much.

Inna Tokarev Sela: Of course. Thank you, Shane.

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MongoDB, Inc. (NASDAQ:MDB) Receives Consensus Recommendation of “Moderate Buy …

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Posted on mongodb google news. Visit mongodb google news

Shares of MongoDB, Inc. (NASDAQ:MDBGet Free Report) have earned an average rating of “Moderate Buy” from the thirty-one analysts that are currently covering the firm, Marketbeat.com reports. Two analysts have rated the stock with a sell rating, four have given a hold rating, twenty-three have assigned a buy rating and two have issued a strong buy rating on the company. The average 1 year target price among brokers that have updated their coverage on the stock in the last year is $361.00.

A number of equities analysts have weighed in on MDB shares. Royal Bank of Canada boosted their price target on MongoDB from $350.00 to $400.00 and gave the stock an “outperform” rating in a research report on Tuesday, December 10th. Needham & Company LLC upped their target price on MongoDB from $335.00 to $415.00 and gave the company a “buy” rating in a research report on Tuesday, December 10th. Guggenheim upgraded MongoDB from a “neutral” rating to a “buy” rating and set a $300.00 price target for the company in a research note on Monday, January 6th. Oppenheimer boosted their price target on MongoDB from $350.00 to $400.00 and gave the company an “outperform” rating in a research note on Tuesday, December 10th. Finally, Barclays cut their price target on MongoDB from $400.00 to $330.00 and set an “overweight” rating for the company in a research note on Friday, January 10th.

Check Out Our Latest Report on MDB

MongoDB Stock Performance

NASDAQ MDB opened at $292.97 on Friday. The stock has a fifty day moving average of $264.56 and a 200-day moving average of $271.42. The stock has a market capitalization of $21.82 billion, a P/E ratio of -106.92 and a beta of 1.28. MongoDB has a 52 week low of $212.74 and a 52 week high of $488.00.

MongoDB (NASDAQ:MDBGet Free Report) last posted its quarterly earnings results on Monday, December 9th. The company reported $1.16 earnings per share (EPS) for the quarter, topping the consensus estimate of $0.68 by $0.48. MongoDB had a negative return on equity of 12.22% and a negative net margin of 10.46%. The business had revenue of $529.40 million for the quarter, compared to analyst estimates of $497.39 million. During the same period last year, the company earned $0.96 EPS. The firm’s revenue was up 22.3% on a year-over-year basis. Equities research analysts forecast that MongoDB will post -1.78 earnings per share for the current fiscal year.

Insider Transactions at MongoDB

In other MongoDB news, CAO Thomas Bull sold 1,000 shares of MongoDB stock in a transaction that occurred on Monday, December 9th. The shares were sold at an average price of $355.92, for a total transaction of $355,920.00. Following the transaction, the chief accounting officer now owns 15,068 shares of the company’s stock, valued at $5,363,002.56. This trade represents a 6.22 % decrease in their position. The transaction was disclosed in a filing with the Securities & Exchange Commission, which is available through the SEC website. Also, insider Cedric Pech sold 287 shares of MongoDB stock in a transaction that occurred on Thursday, January 2nd. The stock was sold at an average price of $234.09, for a total transaction of $67,183.83. Following the transaction, the insider now directly owns 24,390 shares in the company, valued at approximately $5,709,455.10. This represents a 1.16 % decrease in their position. The disclosure for this sale can be found here. Insiders have sold 43,094 shares of company stock valued at $11,705,293 in the last 90 days. 3.60% of the stock is currently owned by corporate insiders.

Institutional Investors Weigh In On MongoDB

Large investors have recently modified their holdings of the stock. GAMMA Investing LLC boosted its holdings in MongoDB by 178.8% in the 3rd quarter. GAMMA Investing LLC now owns 145 shares of the company’s stock valued at $39,000 after purchasing an additional 93 shares during the period. CWM LLC lifted its holdings in shares of MongoDB by 5.0% during the 3rd quarter. CWM LLC now owns 3,269 shares of the company’s stock worth $884,000 after acquiring an additional 156 shares during the last quarter. Creative Planning lifted its holdings in shares of MongoDB by 16.2% during the 3rd quarter. Creative Planning now owns 17,418 shares of the company’s stock worth $4,709,000 after acquiring an additional 2,427 shares during the last quarter. Bleakley Financial Group LLC lifted its stake in MongoDB by 10.5% in the third quarter. Bleakley Financial Group LLC now owns 939 shares of the company’s stock worth $254,000 after purchasing an additional 89 shares during the last quarter. Finally, Stonegate Investment Group LLC lifted its stake in MongoDB by 5.4% in the third quarter. Stonegate Investment Group LLC now owns 6,979 shares of the company’s stock worth $1,887,000 after purchasing an additional 360 shares during the last quarter. Hedge funds and other institutional investors own 89.29% of the company’s stock.

MongoDB Company Profile

(Get Free Report

MongoDB, Inc, together with its subsidiaries, provides general purpose database platform worldwide. The company provides MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premises, or in a hybrid environment; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB.

See Also

Analyst Recommendations for MongoDB (NASDAQ:MDB)

This instant news alert was generated by narrative science technology and financial data from MarketBeat in order to provide readers with the fastest and most accurate reporting. This story was reviewed by MarketBeat’s editorial team prior to publication. Please send any questions or comments about this story to contact@marketbeat.com.

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MongoDB moves office to Sydney CBD – ARNnet

MMS Founder
MMS RSS

Posted on mongodb google news. Visit mongodb google news

According to MongoDB, these events will include hands-on sessions with customers and partners, internal events and educational sessions for its community and MongoDB user groups.

Meanwhile, MongoDB Asia Pacific senior vice president Simon Eid said, local pilot projects and AI tooling built by the company’s local team are part of a template that is being rolled out globally.

“We’ve now got great new facilities to support MongoDB’s growing world-class teams across engineering, services, support and go-to-market functions,” he said.

Additionally, the company is planning to expand its local research and development teams, with it already holding 160 technical roles in Australia and New Zealand (A/NZ) out of its total of 220 employees.

Article originally posted on mongodb google news. Visit mongodb google news

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