Month: April 2021

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Shares of MongoDB slid 5.32% to $299.58 at 12:25 EST on Thursday, after two successive sessions in a row of losses. NASDAQ Composite is falling 0.68% to $13,954.97, after two successive sessions in a row of losses. This seems, up to now, a somewhat rough trend trading session today.

MongoDB’s last close was $316.40, 43.19% under its 52-week high of $428.96.

The company’s growth estimates for the current quarter and the next is a negative 184.6% and a negative 54.5%, respectively.

MongoDB’s Revenue

Year-on-year quarterly revenue growth grew by 38.4%, now sitting on 590.38M for the twelve trailing months.

MongoDB’s Stock Yearly Top and Bottom Value

MongoDB’s stock is valued at $299.58 at 12:25 EST, way under its 52-week high of $428.96 and way above its 52-week low of $129.10.

MongoDB’s Moving Average

MongoDB’s value is under its 50-day moving average of $332.01 and under its 200-day moving average of $309.63.

More news about MongoDB.

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Opining on cloud data management, blockchain, cybersecurity and internet freedom. Chairman at Solix Technologies, Inc. and Minds, Inc.

Multicloud interoperability enables software applications to run and be accessed seamlessly across private and public clouds. Organizations today rely on multicloud environments to optimize their infrastructure investment with reduced cost and complexity, while at the same time never compromising on availability, security or control. As a result, enterprise application portfolios now require full-stack portability across a range of vendor-supplied cloud architectures and on-premise environments.

Driven By Open Source

Cloud-native software provides the ideal platform for multicloud deployments because it is rooted in open-source standards established by the World Wide Web Consortium (W3C), an international community that develops open standards for the web. Digital transformation requires real-time, event-driven data collection, and the W3C “One Web” vision defines an ideal architecture for any data to run with any app across any W3C-compliant cloud.

Mobile and IoT devices — such as interactive television systems, voice response systems, kiosks and even refrigerators — are among the enormous range of devices that collect and report data in an enormous web of data and services. W3C architecture and standards enable anyone, anywhere, to process and share information with anyone else.

Setting The Standards: Establishing A Trusted System

But how do we engineer trust into such a system? What are the rules? And how can we be sure that bad actors don’t just play by their own rules? The good news is that W3C has provided open standards and protocols that enable trust to grow through mass adoption. By establishing a free and open-source software architecture that transparently connects anything to everything across a multicloud landscape, W3C establishes trust on a global scale.

Open-source software operates as advertised because the code is transparent by default and available for anyone to read and inspect. Through use and reuse, open-source software and standards are verified, peer reviewed and tested to perform as documented. Proprietary software systems — where the source code is hidden from inspection and protected by copyright law — cannot make this same claim.

Key Technologies To Becoming Cloud Native: REST, NoSQL And Microservices

Developers are always seeking simpler ways to create and assemble complex software systems. Representational State Transfer (REST) is an open-standard architectural style that lies at the heart of every cloud-native software application. REST has become a foundation for internet software development because it is so well known and understood. Its offspring are ubiquitous and include Hypertext Transfer Protocol Secure (HTTPS), Uniform Resource Identifiers (URL) and the open-source protocols of the Apache web server.

REST relies on the software engineering principle of generality, meaning nothing is limited to just one particular case, and REST establishes a uniform interface between all elements of the network. Each element is a “stateless” component of the larger system, vastly simplifying software development and improving visibility over interactions and events. 

NoSQL databases (which stands for “not only SQL”) are often found at the heart of cloud-native applications. Used increasingly for data-driven, real-time use cases, NoSQL databases offer a simpler design that scales horizontally across distributed nodes. Because they can store and retrieve any data, including structured, unstructured and semi-structured data, NoSQL databases are suitable for a wide variety of workloads.

NoSQL data structures are distinct from relational databases and simple file systems and are usually defined as column stores, document stores or graph stores. In some cases, NoSQL operations perform faster than traditional data stores, and in other cases, less so. The choice of which NoSQL style to use depends on the use-case requirements. Once freed from the canonical design of relational structures, data scientists can describe their data better and achieve more powerful data insights.

Microservices are the architectural framework of RESTful web services. By breaking an app down to core object-oriented functions that communicate with each other and operate autonomously, microservice architectures create a distributed and loosely coupled computing fabric that keeps running even in the event of critical infrastructure failure. If one component fails or causes errors, the entire application need not be taken offline.

Microservices are standardized, easy to implement and able to vastly simplify software engineering and systems integration. Services like data storage may be separated from application functions, and developers can choose their own tools because microservices communicate using application programming interfaces (APIs.)

Kubernetes: A Game-Changer

Software containers have transformed how we develop, deploy and manage cloud-native applications. Like microservices and APIs, containers are isolated from the rest of the system, but a container includes all the files necessary to run and perform functions. Because containers are portable and consistent, operations and production management is simplified, enabling developers greater control over the software development life cycle.

In a containerized architecture, software services are packaged separately and deployed across clusters of physical or virtual machines. Container orchestration organizes clusters of containers together into “pods” and schedules the compute resources to deploy, scale and network them into data-driven applications. Kubernetes is an open-source project that enables you to deploy and manage container “pods” at scale. Kubernetes runs anywhere, including on-premises, public, private or hybrid cloud environments.

Becoming cloud native enables any organization to build applications that interoperate in a multicloud environment. Software developers are delighted because their incredibly difficult job becomes so much less complex. Thanks to W3C’s “One Web” vision as well as free and open-source standards, all clouds are able to run the same way and interoperate safely and securely.

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Recently, AWS announced instant price reductions and Savings Plans for Amazon SageMaker, their fully-managed Machine Learning (ML) service. With Savings Plans for Amazon SageMaker, customers can benefit from cost savings up to 64% compared to the on-demand price. The company also drops the price of several instance families in Amazon SageMaker by up to 14.2%.

In the fall last year, the company reduced prices for the ml.p3 and ml.p2 instances in Amazon SageMaker by up to 18%. And now AWS will also reduce the prices for instances families ml.t2, ml.t3, ml.m4, ml.m5, ml.m5d, ml.c4, ml.c5, ml.c5d, ml.c5n, ml.r5, ml.r5d, and ml.inf1. Furthermore, according to an AWS News blog, the price reductions will also apply for all instance-based workloads such as Notebook instances, Amazon SageMaker Studio instances, Training instances, Batch Transform instances, Real-time Endpoint instances, Amazon SageMaker Data Wrangler instances, and Amazon SageMaker Processing instances.

Next to the instant price reductions, AWS also introduces savings plans for AWS SageMaker. The company introduced this new, flexible discount model in November 2019 for Compute Services Amazon EC2 and AWS Fargate to help customers optimize their compute cost. The model offers the same discounts as Reserved Instances (RI), a discount model that has been around for years. 

Amber Gregorio, senior product marketing manager at CloudHealth by VMware, wrote in a blog post about Savings Plans versus RIs: 

Compute Savings Plans are easier to manage too. While Convertible Reserved Instances can be exchanged for different types of instances, the process is manual and requires considerable oversight and usage monitoring. With Compute Savings Plans, discounts are applied automatically across all applicable components, significantly reducing management overhead.   

Savings Plans are accessible from the AWS Cost Explorer in the AWS Management Console or via the AWS CLI or API. The Cost Explorer provides users with recommendations based on their historical usage over a selected period (7, 30, or 60 days) to realize the most optimum savings. And by signing up for Amazon SageMaker Savings Plans, the Savings Plans rates will automatically apply across all eligible usage up to the commitment amount.

 
Source: https://aws.amazon.com/blogs/aws/slash-your-machine-learning-costs-with-instance-price-reductions-and-savings-plans-for-amazon-sagemaker/

Julien Simon, an artificial intelligence & machine learning evangelist at AWS, wrote in the News Blog post:

Savings Plans don’t distinguish between instance families, instance types, or AWS regions. This makes it easy for you to maximize savings regardless of how your use cases and consumption evolve over time, and you can save up to 64% compared to the on-demand price.

Lastly, Savings Plans and instant price reductions are currently available in various American, European, Middle-East, Africa, and Asia Pacific AWS regions. The pricing details for Amazon SageMaker and its Savings Plans are available on the pricing page.

Article originally posted on InfoQ. Visit InfoQ

The absence of psychological safety in the world of work limits the agile transformation journeys of organisations in Africa. Psychological safety is an enabler, not an act of weakness. Organisations that do not understand or foster it might find it difficult to survive in these VUCA times.

Eliana Philip-Amulum, an enterprise agile people coach, spoke about the role of psychological safety in agile transformations at the Agile Consortium Belgium 2021 conference.

There are several challenges that come with agile adoption in Africa. C-suite leaders have not accepted the change, which makes it difficult; they like the concept but are not ready to adopt the values and principles of Agile, Philip-Amulum said. She also mentioned that culture and some of the traditional values frustrate the adoption of agile in the workplace:

The disengaged / sycophant employees feel that the adoption of agile might reveal their negligence towards their job/task and try to frustrate the agile adoption.

Psychological safety is the absence of fear, the ability to take risks and experiment with new things/ideas, freedom to share ideas and challenge ideas, Philip-Amulum explained. It will enact the values and principles of agile which will lead to agile transformation.

According to Dr. Timothy Clark, “Psychological safety is the lubricating oil of human interaction in any social setting – to unleash the potential of individuals and organizations”. Philip-Amulum used the metaphor of the courage a surfer has when he/she is surfing through the waves of the ocean:

• The courage is psychological safety
• Surfing through the wave is agile transformation
• The wave is VUCA, New/ Advance Technology, Customers demand, etc.

Africans have strong traditional values like respect for elders/superiors (do not challenge the words of an elder/superior) which can hinder psychological safety at the workplace. Still, change is possible, as Philip-Amulum explained:

Sometimes it seems impossible, but my Christian values/principles assure me that nothing is impossible. Some people say it is impossible to change a person but I know it is possible. It’s just that “the catalyst” for that change has not yet arrived. An example of the catalyst is the pandemic that has brought change to the world of work and increased remote working.

Organisations don’t have to wait for “the catalyst” before they change, especially when the values and principles will lead to agile transformation, Philip-Amulum concluded.

InfoQ interviewed Eliana Philip-Amulum about the challenges in agile adoption in Africa and the role that psychological safety plays in it.

InfoQ: How do the challenges in agile adoption impact the success of agile and the benefits that agile can bring?

Eliana Philip-Amulum: It has a negative effect. It gradually paralyses performance, innovation and of course, there is little or no journey to agile transformation.

An example is an organisation I worked for; the employees were excited about the change from waterfall to agile after HR had organised some free Agile workshops before the adoption. They were delighted to have an environment where they could share ideas and see their ideas materialize into apps/products (and not the ideas of senior management); a workplace where senior management employees would no longer disrupt product development, long meetings would be reduced/cancelled, less reporting would be required, and a cross-functional team would be created which would increase communication and collaboration between the business development team and the developers. All these and more made the employees embrace the adoption of agile and were looking forward to the benefits of adoption in product development.

Unfortunately, team empowerment did not happen; management lacked trust in the teams. The leaders did not fully accept the values and principles of agile, and of course, there was an absence of psychological safety. Due to the command and control style of leadership, the employees did not have a voice and only very few could challenge the status quo of management.

Within one year of the agile adoption, the attrition rate of employees was over 20 percent higher than in the last five years of pre-agile adoption in the organisation.

InfoQ: What can be done to foster psychological safety?

Philip-Amulum: There needs to be some sort of orientation for leaders and HR before “Hurricane VUCA” comes knocking hard. I mapped out a plan for scrum masters, product owners and their team, and facilitated workshops for scrum masters.

The enterprise agile coach should first assess the level of psychological safety in the organisation through the assessment of the root cause(s). He/she should facilitate workshops for leaders on topics that can foster psychological safety, e.g self-management, emotional intelligence, etc. These workshops and coaching sessions are not just for the leadership team, but the entire team in the organisation. It’s best to stir the minds of the leaders so they can influence the people in the organisation. Regarding work, Google has a tool to foster psychological safety that managers can use and customise in their team.

In her book Fearless Organisation, Army Edmondson shares a Leader´s Tool Kit for building psychological safety:

1. Setting the Stage- As a leader, you set some expectations about interdependencies, uncertainties, failures, mistakes and explain the need for employees to have a voice in the organisation. Identify the challenge and explain why and who it matters to.

2. Inviting Participation- Acknowledge the gaps, ask questions, ensure active listening, avoid interruptions and create a forum for input. Help build confidence that employees’ voices are allowed and important for the organisation.

3. Respond Productively- Express commendation and appreciation. Welcome mistakes, and failure, and learn by discussing and brainstorming on the subject matter. Offer help and look forward to helping. Leaders must exhibit a humble mindset.

I tried the Leader’s Tool Kit at the team level and found that it works; we just need to give teams continuous feedback on the milestones they created for themselves. The challenge I faced was with the leaders; the c-suite level was not ready to change their style of leadership. When I resigned, there was a reversal in feelings of safety which led to the high attrition rate of the employees that I mentioned.

The Psychological Safety Game from Agile People can also help foster psychological safety in the workplace amongst agile teams. It is a continuous process that can take years to achieve, so we must remain positive to accomplish it.

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A recent research study on the global Document Databases Software market presented by Zeal Insider offers a detailed analysis of key market players, market revenue, market segments, share, and geographic regions. It also offers several industry trends and predictions for upcoming Eight years. The report also puts light on the current COVID-19 pandemic situations on the Global Document Databases Software Market enabling the user to propose strategic growth plans and tactical business judgments. The size of global Document Databases Software market is estimated to grow during the forecast period of 2020 to 2028 with a CAGR of xx% and is estimated to reach.US$ xx million by 2028, from US$ xx million in 2020.

Checkout Free Report Sample of Document Databases Software Market Report for Better Understanding: https://www.zealinsider.com/report/58066/document-databases-software-market#sample

COVID-19 Impact

The report explains the degree of COVID-19 impact on every segment under the scope of the report with its trend over the forecast period. COVID-19 pandemic situations have led to a significant slowing down in the production and manufacturing of various sectors. Strict lockdowns imposed by several governments have led to a temporary shutdown of small as well as major market players. The report study offers a useful insight that explains the impact of government policies, import & export control, disruption of the supply chain, distribution network, and halts on production activities on overall revenue generation. Also, it helps clients to make strategic decisions to overcome these pandemic conditions.

Manufacturers Information

The Document Databases Software report focuses on the major players operating in the global Document Databases Software market to study their market share, net sale, business strategies, top competitors, key business segments, and regional presence. The competitive landscape presented in the report will help clients to focus on the key parameters that will help them to achieve desired targets in the global Document Databases Software market.

Leading companies reviewed in the Document Databases Software Market‎ report are:

• MongoDB
• Amazon
• ArangoDB
• Azure Cosmos DB
• Couchbase
• MarkLogic
• RethinkDB
• CouchDB
• SQL-RD
• OrientDB
• RavenDB
• Redis

Segmentation

A research study offers a systematic estimation of the global market, comprising key growth trends and significant opportunities based on its segments which provides insights to draw effective strategies for business growth. The report bifurcates the global Document Databases Software market by studying various factors into respective segments and their sub-segments. Further, the report comprises various existing, previous, and future growth trends for all segments and sub-segments for the forecast period 2020-2028. The study of segmentation outlined accurate calculations and predictions in terms of revenue and volume.

By the product type, the market is primarily split into:

• Cloud Based
• Web Based

By the end-users/application, this report covers the following segments:

• Large Enterprises
• SMEs

Regional Information

The regional analysis offered in the report will help clients to categorize significant opportunities of the global Document Databases Software market presented in different regions and countries. The Document Databases Software market is segmented based on various regions such as:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

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• Investors and Private Equity Firms
• Document Databases Software Market Providers
• Suppliers and Distributors
• Government and Regulatory Agencies
• End users

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• COVID-19 impact on the market and industry as well as the recovery analysis.

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Report Methodology

The Document Databases Software report has designed by taking in to consideration of latest trends and opportunities, potential threats, and key driving factors, as well as key revenue pockets. The study has been concluded based on thorough secondary research after studying several industry publications, government reports, company news and press releases. All these studies are backed with detailed primary studies which combinedly draw a revenue outlook for the Document Databases Software market.

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About Us

We at Zeal Insider aim to be global leaders in qualitative and predictive analysis as we put ourselves in the front seat for identifying worldwide industrial trends and opportunities and mapping them out for you on a silver platter. We specialize in identifying the calibers of the market’s robust activities and constantly pushing out the areas which allow our clientele base in making the most innovative, optimized, integrated and strategic business decisions in order to put them ahead of their competition by leaps and bounds.

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Posted on mongodb google news. Visit mongodb google news

LOS ANGELES, United States: QY Research offers an overarching research and analysis-based study on, “Global Big Data and Analytics Market Size, Status and Forecast 2021-2027“. The research report gives the potential headway openings that prevails in the global Big Data and Analytics market. The report is amalgamated depending on research procured from primary and secondary information. The global Big Data and Analytics market is relied upon to develop generously and succeed in volume and value during the predicted time period. Moreover, the report gives nitty gritty data on different manufacturers, region, and products which are important to totally understanding the market. It is a phenomenal compilation of important studies that explore the competitive landscape, segmentation, geographical expansion, and revenue, production, and consumption growth of the global Big Data and Analytics market. Players can use the accurate market facts and figures and statistical studies provided in the report to understand the current and future growth of the global Big Data and Analytics market. The report offers an in-depth assessment of key market dynamics, the competitive landscape, segments, and regions in order to help readers to become better familiar with the global Big Data and Analytics market.

This report includes assessment of various drivers, government policies, technological innovations, upcoming technologies, opportunities, market risks, restrains, market barriers, challenges, trends, competitive landscape, and segments which gives an exact picture of the growth of the global Big Data and Analytics market.

Competitive Landscape

Competitor analysis is one of the best sections of the report that compares the progress of leading players based on crucial parameters, including market share, new developments, global reach, local competition, price, and production. From the nature of competition to future changes in the vendor landscape, the report provides in-depth analysis of the competition in the global Big Data and Analytics market.

Key questions answered in the report:

• What is the growth potential of the Big Data and Analytics market?
• Which product segment will grab a lion’s share?
• Which regional market will emerge as a frontrunner in the coming years?
• Which application segment will grow at a robust rate?
• What are the growth opportunities that may emerge in the Interactive Patient Engagement Systems industry in the years to come?
• What are the key challenges that the global Big Data and Analytics market may face in the future?
• Which are the leading companies in the global Big Data and Analytics market?
• Which are the key trends positively impacting the market growth?
• Which are the growth strategies considered by the players to sustain hold in the global Big Data and Analytics market

TOC

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data and Analytics Market Size Growth Rate by Type (2021-2027)
1.2.2 Data Intergration
1.2.3 Data Storage
1.2.4 Data Presentation
1.3 Market by Application
1.3.1 Global Big Data and Analytics Market Share by Application (2021-2027)
1.3.2 IoT
1.3.3 M2M
1.4 Study Objectives
1.5 Years Considered 2 Executive Summary
2.1 Global Big Data and Analytics Market Size
2.2 Big Data and Analytics Market Size by Regions
2.2.1 Big Data and Analytics Growth Rate by Regions (2021-2027)
2.2.2 Big Data and Analytics Market Share by Regions (2021-2027)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Use Cases 3 Key Players
3.1 Big Data and Analytics Revenue by Players (2020-2021)
3.2 Big Data and Analytics Key Players Headquaters and Area Served
3.3 Key Players Big Data and Analytics Product/Solution/Service
3.4 Date of Enter into Big Data and Analytics Market
3.5 Mergers & Acquisitions, Expansion Plans 4 Breakdown by Type and by Application
4.1 Global Big Data and Analytics Market Size by Type (2021-2027)
4.2 Global Big Data and Analytics Market Size by Application (2021-2027) 5 North America 5.1 North America Big Data and Analytics Market Forecast (2021-2027)
5.2 Big Data and Analytics Key Players in North America
5.3 North America Big Data and Analytics Market Size by Type
5.4 North America Big Data and Analytics Market Size by Application
6.4.4 Canada 6 Europe
6.1 Europe Big Data and Analytics Market Forecast (2021-2027)
6.2 Big Data and Analytics Key Players in Europe
6.3 Europe Big Data and Analytics Market Size by Type
6.4 Europe Big Data and Analytics Market Size by Application 7 Japan
7.1 Japan Big Data and Analytics Market Forecast (2021-2027)
7.2 Big Data and Analytics Key Players in Europe
7.3 Japan Big Data and Analytics Market Size by Type
7.4 Japan Big Data and Analytics Market Size by Application 8 Rest of World
8.1 China
8.1.1 China Big Data and Analytics Market Analysis
8.1.2 Key Players in China
8.2 Southeast Asia
8.2.1 Southeast Asia Big Data and Analytics Market Analysis
8.2.2 Key Players in Southeast Asia
8.3 India
8.3.1 India Big Data and Analytics Market Analysis
8.3.2 Key Players in India 9 International Player Profiles
9.1 Microsoft
9.1.1 Microsoft Company Details
9.1.2 Microsoft Description and Business Overview
9.1.3 Microsoft Big Data and Analytics Introduction
9.1.4 Microsoft Revenue in Big Data and Analytics Business (2020-2021)
9.1.5 Microsoft Recent Development
9.2 MongoDB
9.2.1 MongoDB Company Details
9.2.2 MongoDB Description and Business Overview
9.2.3 MongoDB Big Data and Analytics Introduction
9.2.4 MongoDB Revenue in Big Data and Analytics Business (2020-2021)
9.2.5 MongoDB Recent Development
9.3 Predikto
9.3.1 Predikto Company Details
9.3.2 Predikto Description and Business Overview
9.3.3 Predikto Big Data and Analytics Introduction
9.3.4 Predikto Revenue in Big Data and Analytics Business (2020-2021)
9.3.5 Predikto Recent Development
9.4 Informatica
9.4.1 Informatica Company Details
9.4.2 Informatica Description and Business Overview
9.4.3 Informatica Big Data and Analytics Introduction
9.4.4 Informatica Revenue in Big Data and Analytics Business (2020-2021)
9.4.5 Informatica Recent Development
9.5 CS
9.5.1 CS Company Details
9.5.2 CS Description and Business Overview
9.5.3 CS Big Data and Analytics Introduction
9.5.4 CS Revenue in Big Data and Analytics Business (2020-2021)
9.5.5 CS Recent Development
9.6 Blue Yonder
9.6.1 Blue Yonder Company Details
9.6.2 Blue Yonder Description and Business Overview
9.6.3 Blue Yonder Big Data and Analytics Introduction
9.6.4 Blue Yonder Revenue in Big Data and Analytics Business (2020-2021)
9.6.5 Blue Yonder Recent Development
9.7 Azure
9.7.1 Azure Company Details
9.7.2 Azure Description and Business Overview
9.7.3 Azure Big Data and Analytics Introduction
9.7.4 Azure Revenue in Big Data and Analytics Business (2020-2021)
9.7.5 Azure Recent Development
9.8 Software AG
9.8.1 Software AG Company Details
9.8.2 Software AG Description and Business Overview
9.8.3 Software AG Big Data and Analytics Introduction
9.8.4 Software AG Revenue in Big Data and Analytics Business (2020-2021)
9.8.5 Software AG Recent Development
9.9 Sensewaves
9.9.1 Sensewaves Company Details
9.9.2 Sensewaves Description and Business Overview
9.9.3 Sensewaves Big Data and Analytics Introduction
9.9.4 Sensewaves Revenue in Big Data and Analytics Business (2020-2021)
9.9.5 Sensewaves Recent Development
9.10 TempoIQ
9.10.1 TempoIQ Company Details
9.10.2 TempoIQ Description and Business Overview
9.10.3 TempoIQ Big Data and Analytics Introduction
9.10.4 TempoIQ Revenue in Big Data and Analytics Business (2020-2021)
9.10.5 TempoIQ Recent Development
9.11 SAP
9.11.1 SAP Company Details
9.11.2 SAP Description and Business Overview
9.11.3 SAP Big Data and Analytics Introduction
9.11.4 SAP Revenue in Big Data and Analytics Business (2020-2021)
9.11.5 SAP Recent Development
9.12 OT
9.12.1 OT Company Details
9.12.2 OT Description and Business Overview
9.12.3 OT Big Data and Analytics Introduction
9.12.4 OT Revenue in Big Data and Analytics Business (2020-2021)
9.12.5 OT Recent Development
9.13 IBM
9.13.1 IBM Company Details
9.13.2 IBM Description and Business Overview
9.13.3 IBM Big Data and Analytics Introduction
9.13.4 IBM Revenue in Big Data and Analytics Business (2020-2021)
9.13.5 IBM Recent Development
9.14 Cyber Group
9.14.1 Cyber Group Company Details
9.14.2 Cyber Group Description and Business Overview
9.14.3 Cyber Group Big Data and Analytics Introduction
9.14.4 Cyber Group Revenue in Big Data and Analytics Business (2020-2021)
9.14.5 Cyber Group Recent Development
9.15 Splunk
9.15.1 Splunk Company Details
9.15.2 Splunk Description and Business Overview
9.15.3 Splunk Big Data and Analytics Introduction
9.15.4 Splunk Revenue in Big Data and Analytics Business (2020-2021)
9.15.5 Splunk Recent Development 10 Market Dynamics
10.1 Industry Trends
10.2 Market Drives
10.3 Market Challenges
10.4 Market Restraints 11 Key Findings in This Report 12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.2 Data Source
12.2 Disclaimer
12.3 Author Details

About Us:

QYResearch always pursuits high product quality with the belief that quality is the soul of business. Through years of effort and supports from huge number of customer supports, QYResearch consulting group has accumulated creative design methods on many high-quality markets investigation and research team with rich experience. Today, QYResearch has become the brand of quality assurance in consulting industry.

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Due to the response to the COVID-19 pandemic, banks, and financial services companies have faced unexpected difficulties over the past year. By accelerated adaptation initiatives and a greater emphasis on their digital presence as consumers go online to access essential services, the industry is rethinking the future of digital banking. During these troubling times, business leaders are increasingly realizing the enormous potential of digitization and the need to integrate it into onboarding to maintain a foothold in the sector.

Digitization is a Necessity Not an Option

The pre-COVID-19 financial industry still had to update the digital experience by incorporating consumer preferences into business strategies, despite the demand for digital experiences among customers of all ages. In recent months, there has been a dramatic acceleration in the digital race. The ‘nice-to-have or ‘Plan B’ is no longer applicable for digital onboarding and real-time communication tools, but rather it’s a mandatory requirement. Companies need to look at video conferencing, digital document management, digital signature, video identification and biometrics, and cloud services and use smart automation to reduce operational burdens and ensure security compliance.

Faster Implementation is Key

The response to COVID-19 has put the spotlight on two major categories of disadvantages in traditional onboarding namely slow processes and poor customer experience. Traditional processes are generally slow, repetitive, and complex. Low speed of progress can lead to a 40% abandonment rate in onboarding, and nearly 7 out of 10 millennials demand a seamlessly integrated experience for digital services across all channels. There is a demand for faster and easier onboarding processes.

Aggregate and Integrate

The need to address the disaggregation of client data, processes, and stakeholders was a core problem in financial services at the beginning of 2020. It is vital to support a remote onboarding model with repeated cycles of government-imposed social distancing by implementing intelligent orchestration within the IT structure of the organization, which leads to greater organizational agility and resilience. This strategy enables businesses to incorporate third-party technologies such as biometrics, cloud, real-time messaging services, artificial intelligence (AI), NBA (next-best-action) seamlessly while streamlining interactions with digital consumers.67% of customers prefer self-service instead of speaking to a company representative. AI can help integrate this. Smart analytics and artificial intelligence (AI) are being used by businesses to figure out what really matters to their customers. This enables them on the platforms of their choosing to give consumers what they care about.

eKYC for Secure Onboarding

Digital onboarding provides companies with the opportunity to react at the pace of information to changes. Organizations using these solutions can, within a few minutes, sign up their clients, open their bank accounts, complete a loan procedure, and their KYC – a process that had previously taken days to complete. This is exactly why organizations, in order to prepare for the future, must act now. Organizations will have to work alongside a recovery strategy as business resumes, where both downtime and inefficiency of employees will have an undesirable impact. Early eKYC adopters are now writing their success stories and redefining the consumer needs baseline. We also live in a world where consumers are busier than ever, which means that it is important to eliminate friction across the entire customer journey across both digital and physical channels and allow hybrid experiences. Customers are pleased not to deal with time-consuming, non-essential documents and have the ability to concentrate on more important and meaningful data. IDcentral’s suite of onboarding services provides end-to-end eKYC solution that helps onboarding the customers with ease without compromising the security. Additionally, IDcentral also helps reduce customer drop-out rates by transcending beyond the lengthy processes and inefficiencies of current solutions. IDcentral’s highly accurate OCR is able to extract exact information even if the document uploaded is blurred or skewed by 360 degrees which improves customer experience by eliminating iterations while uploading the ID documents. IDcentral’s liveness solution includes 3D Mapping, Skin Texture Analysis, Micro Movement Detection capabilities which eliminate the slightest possibility of morphing and spoof attacks. Companies can pick and choose the services they need as per their vertical and risk appetite and access these services free for the first six months which can save a lot of your cost. It is a completely self-serve platform that you can integrate into your system within a few hours and start using it.

Better Communication for Better Customer Satisfaction

For businesses, data is becoming the most coveted commodity, which is why integration becomes all the more important. To ensure that meaningful and appropriate information is still available, connect the various recording systems and keep the data synchronized and consistent. Employees can benefit from the availability of data and boost communication between teams, work effortlessly together and create more value. Innovation is simple because it does not understand how each variable relates to the other. Businesses have to bear in mind that the more connected everything is, the better for the best long-term result.

Expand Existing Connections

Instead of an immense opportunity to establish relationships, client onboarding is often perceived as a repetitive process. For the customer, the lack of concrete details on their onboarding status becomes frustrating. In addition, the absence of a customer’s centralized view can lead to possible fallouts. Make onboarding interactions, even in more complicated situations, as simple as possible. Onboard an entire family in a single process. Include multiple goods and facilities that do not share the same processes (like checking the eligibility of a more complicated service in detail for an individual person). Therefore, to attract the customers of today and convert them to loyal clients, a strategy centered on smoother digital onboarding is more than necessary.

The article is originally published at IDcentral.

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MR Accuracy Reports recently introduced new title on “HTAP-Enabling In-Memory Computing Technologies Market : Global Industry Analysis, Size, Share, Growth, Trends, and Forecasts 2021-2027” from its database utilizing diverse methodologies aims to examine and put forth in-depth and accurate data regarding the global HTAP-Enabling In-Memory Computing Technologies market. The report provides study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status (2021-2026).

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Analysts at MR Accuracy Reports constantly monitor the industry impacts of current events in real-time to get high level accuracy .

Market size by Revenue is expected to grow xx% in 2020 alone as demand is anticipated to be moderately affected by the outbreak of COVID-19. The downstream companies contend with restricted profit from falling consumer confidence, demand for industry products is expected to slow.

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Prominent top manufacturers Included In Global HTAP-Enabling In-Memory Computing Technologies Market with sales volume, price, revenue (Million USD) and market share for each manufacturer/player; the top players including Microsoft, IBM, MongoDB, SAP, Aerospike, DataStax, GridGain

The Global HTAP-Enabling In-Memory Computing Technologies Market Is Classified On The Basis Of User/Application: Large Enterprises(1000+ Users), Medium-Sized Enterprise(499–1000 Users), Small Enterprises(1–499 Users).

The Global HTAP-Enabling In-Memory Computing Technologies Market Is Classified On The Basis Of Product Type: Cloud-Based, On-Premises.

The Global HTAP-Enabling In-Memory Computing Technologies is classified on The basis Of Region such as: Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Middle East & Africa, Egypt, South Africa, Israel, Turkey & GCC Countries

Early buyers will receive 30% customization in reports. Enquire for customization or Regional version of this report with geographical classification national/local markets that are fully investigated:

• APAC (Japan, China, South Korea, Australia, India, and Rest of APAC; Rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
• Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Belgium, Denmark, Austria, Norway, Sweden, The Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
• North America (U.S., Canada, and Mexico)
• South America (Brazil, Chile, Argentina, Rest of South America)
• MEA (Saudi Arabia, UAE, South Africa)

Key questions answered in this comprehensive study – Global HTAP-Enabling In-Memory Computing Technologies Market Growth (Status and Outlook) 2021-2026

• What will the market size be in 2026 and what will the growth rate be?
• What are the key market trends?
• What is driving Global HTAP-Enabling In-Memory Computing Technologies Market?
• What are the challenges to market growth?
• Who are the key vendors in HTAP-Enabling In-Memory Computing Technologies Market space?
• What are the key market trends impacting the growth of the HTAP-Enabling In-Memory Computing Technologies Market?
• What are the key outcomes of the five forces analysis of the HTAP-Enabling In-Memory Computing Technologies Market?
• What are the market opportunities and threats faced by the vendors in the HTAP-Enabling In-Memory Computing Technologies market? Get in-depth details about factors influencing the market?

Table of Contents

• Introduction of Global HTAP-Enabling In-Memory Computing Technologies
• Product Overview and Scope of HTAP-Enabling In-Memory Computing Technologies
• Classification of HTAP-Enabling In-Memory Computing Technologies by Product Category
• Global HTAP-Enabling In-Memory Computing Technologies Market by Application/End Users
• Global HTAP-Enabling In-Memory Computing Technologies Market by Region
• Global HTAP-Enabling In-Memory Computing Technologies Market Competition by Players/Suppliers
• Global HTAP-Enabling In-Memory Computing Technologies Sales (Volume) and Revenue (Value) by Region
• Global HTAP-Enabling In-Memory Computing Technologies Sales (Volume) and Revenue (Value) by Type [, Social Media Marketing, Content Marketing, Affiliate Marketing & Others] (Product Category)
• Global HTAP-Enabling In-Memory Computing Technologies Sales (Volume) by Application i.e. Large Enterprises & SMEs
• Global HTAP-Enabling In-Memory Computing Technologies Players/Suppliers Profiles and Sales Data
• HTAP-Enabling In-Memory Computing Technologies Manufacturing Cost Analysis
• Industrial Chain, Sourcing Strategy and Downstream Buyers
• Marketing Strategy Analysis, Distributors/Traders
• Market Effect Factors Analysis
• Market Size (Value and Volume) Forecast
• Research Findings and Conclusion
• Appendix

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As more and more data resides in online repositories, data backup and protection have taken on critical importance – not just for huge corporations but for organizations of all sizes. In fact, these capabilities may even now be determining an organization’s future. Veeam commissioned an independent survey of 1,550 larger companies (with over 1,000 users) across 18 countries to examine how data backup and restoration are currently being handled.

The survey reveals that as IT practices improve in the area of data protection and backup, a continually changing digital transformation is taking place. Surveyed organizations use a diverse mix of physical servers, virtual machines and cloud-hosted virtual machines (VMs), while around 10% of on-premises data systems will shift to the cloud over the next two years.

The surveyed companies expressed interest in ensuring that the cloud and data are more available to help improve customer experience and the impact of their brands. “However, the research infers that by modernizing data protection with easy-to-use and flexible solutions,” the survey states, “businesses can greatly increase the protection and usability of their data while also freeing a lot of resources to focus further on their IT modernization and management efforts.”

Backup challenges

Backing up and restoring data is a major concern because the data provided by IT is the “heart and soul” of modern companies. Downtime is another issue, with 95% of the surveyed organizations experiencing unexpected outages; at least 10% of servers have at least one outage of two hours on average, once per year. The researchers note, therefore, how important it is to modernize data protection for those inevitable outages. Doing so can help better manage operations, impact customer service, reduce costs and lessen employee task time.

Any time there is a change, and especially a large change like modernizing current systems, there will be challenges. Some include a lack of IT skills in a company’s workforce, a dependency on legacy systems and a lack of staff and/or budget that ultimately prevents them from engaging in this digital transformation.

The surveyed companies indicated that they want to be able to move workloads from on-premises to the cloud, and they want cloud-based disaster recovery. Flexibility of solutions, the researchers conclude, is a big factor in the adoption of new systems and technologies. Data protection, therefore, must be simple, have no delays, and present an immediate return on investment (ROI). It must also be flexible enough to allow for data access from anywhere and at any time. It must continue to be reliable, as well, even as the IT environment evolves.

When planning to improve their current backup systems, companies are looking for reductions in costs and complexity, improved recovery time and reliability. Modernizing your backup into cloud data management can cut the cost of data backup and protection by 50%. That can lead to a 55% increase, says Veeam, in efficiency as well.

Most current mission-critical systems are still tied to legacy solutions, most often located on-site. It’s implausible, then, to expect that organizations will jump directly to a fully modernized backup system. But by starting with a hybrid solution, where data is stored both on-premises and in the cloud, managed by a unified toolset, companies are seeing a 49% savings on costs, according to the survey.

Compliance and security

Another factor is that the cost of compliance is rising as governmental regulation continues to increase across the globe. Moving from ad-hoc or legacy systems to protect and audit data, as companies tend to do now, can result in what the researchers call “isolated pockets of visibility.” And these “pockets” can be targeted by cyber-attackers.

A primary challenge for organizations today is to make sure data is reliably backed up and instantly recovered when needed. As organizations continue to create more and more data, so must data protection and backup rise to the challenge. Modern systems must be more intelligent, anticipate user needs and meet user demands.

Building a new approach

Change is not without its hurdles, but the research demonstrates that organizations cannot afford to ignore the changing IT landscape. Data protection and backup have become mission-critical issues as data volumes continue to explode as data gets distributed across the cloud. Simple, flexible solutions are a must – and they must also be affordable. A robust data management system helps organizations remain compliant and gain greater visibility to defend against attack. As IT leaders consider a new approach to data protection and backup, they should take into account the significant benefits of automated, cloud-friendly solutions.

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