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MongoDB Announces a Pay-As-You-Go Offering with Enhanced Customer Experience in …

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New integrations with AWS Marketplace will simplify discoverability, subscription, onboarding, and management of MongoDB Atlas when running on AWS

NEW YORK, Nov. 30, 2021 /PRNewswire/ — MongoDB, Inc. (NASDAQ: MDB), the leading modern, general purpose database platform, today announced that it will make it easier for customers to build, scale, and manage data-rich applications with MongoDB Atlas in AWS Marketplace in calendar Q1 2022. With the launch of a pay-as-you-go MongoDB Atlas with Free Trial in AWS Marketplace, developers will have a simplified subscription experience, and enterprises will have another way to procure MongoDB in addition to privately negotiated offers already supported on AWS Marketplace. There will be no up-front commitments required to use MongoDB Atlas on AWS, and customers will pay only for the resources they use and scale based on their needs. MongoDB is also launching the capability for customers to buy MongoDB Professional Services in AWS Marketplace at AWS re:Invent, providing enterprises with one place to implement, configure, and run MongoDB workloads.

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Unqork, the leading enterprise no-code platform, built its business on MongoDB Atlas.

“I first started using MongoDB when I was a Fortune 50 CIO and continued to do so later in my career when I founded Unqork. Atlas was my first choice for a data platform as it provided the performance benefits I needed to run my business. Unqork is an existing AWS Marketplace customer, and we are excited to now be able to subscribe to the new MongoDB SaaS solution through AWS Marketplace for simplified procurement, streamlined billing, and data governance,” said Gary Hoberman, founder and CEO, Unqork.

“MongoDB and its document model are deployed in many AWS and MongoDB customers’ environments to increase developer productivity, decrease cost, and scale to meet the needs of high growth applications. This is why both rising startups and global enterprises from around the world, across multiple industries, have chosen MongoDB as the data foundation for their next generation, modern applications,” said Alan Chhabra, Executive Vice President of Worldwide Partners, MongoDB. “MongoDB Atlas enables customers to extend their familiar environment into AWS to run the same applications with a common foundation and tooling regardless of whether it is on cloud or on premises. We are excited about offering MongoDB Atlas in AWS Marketplace which will make it easier for MongoDB customers to build, manage, and scale their data-rich applications on AWS.”

MongoDB and AWS Marketplace remain committed to removing friction and making it easier for customers to procure and innovate in the cloud. Earlier this year, MongoDB and AWS launched integrations between MongoDB Atlas and AWS Wavelength, Amazon Kinesis Data Firehose, Amazon EventBridge, AWS PrivateLink, AWS App Runner, Amazon Managed Grafana, and more. With today’s new AWS Marketplace integrations, AWS customers can enjoy the benefits of consolidated billing via their AWS account.

“AWS Marketplace makes it easy for customers worldwide to find, subscribe to, deploy, and govern the best third-party software, data, and professional services offerings,” said Stephen Orban, General Manager, AWS Marketplace & Control Services at AWS. “MongoDB Atlas’ pay-as-you-go offering will provide customers with one of the most developer-friendly databases with an integrated and simplified subscription experience on AWS Marketplace, and we’ll continue to work with MongoDB to make AWS the best place for developers to run MongoDB Atlas.”

To get started, visit MongoDB Atlas in AWS Marketplace. To learn more about MongoDB Atlas and AWS integrations, visit these documents.

About MongoDB

MongoDB is the leading modern, general purpose database platform, designed to unleash the power of software and data for developers and the applications they build. Headquartered in New York, MongoDB has more than 29,000 customers in over 100 countries. The MongoDB database platform has been downloaded over 200 million times and there have been more than 1.5 million registrations for MongoDB University courses.

Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding the benefits of our partnership with Amazon Web Services (AWS) and enhanced integration of MongoDB Atlas in AWS Marketplace. These forward-looking statements include, but are not limited to, plans, objectives, expectations and intentions and other statements contained in this press release that are not historical facts and statements identified by words such as “anticipate,” “believe,” “continue,” “could,” “estimate,” “expect,” “intend,” “may,” “plan,” “project,” “will,” “would” or the negative or plural of these words or similar expressions or variations. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the impact that the precautions we have taken in our business relative to the ongoing COVID-19 pandemic may have on our business; the financial impacts of the COVID-19 pandemic on our customers, our potential customers, the global financial markets and our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; our limited operating history; our history of losses; failure of our database platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; and the price volatility of our common stock. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission (“SEC”), including under the caption “Risk Factors” in our Quarterly Report on Form 10-Q for the quarter ended July 31, 2021 filed with the SEC on September 3, 2021 and other filings and reports that we may file from time to time with the SEC. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Investor Relations
Brian Denyeau
ICR for MongoDB
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ir@mongodb.com

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MongoDB
communications@mongodb.com

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SD Times News Digest: Datalore for Enterprise 2021.3 Update. MongoDB has announced a …

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Posted on mongodb google news. Visit mongodb google news

JetBrains announced the release of Datalore Enterprise 2021.3, introducing database connection and SQL cell support, interactive report publishing, R and Scala support, and out-of-the-box visualization options.

With database connections and SQL cells, users can now connect to different databases from the interface, browse the database schema, and query data using native SQL cells. In addition, interactive reports allow users to easily convert notebooks into interactive data stories with a single click, hide cells from viewers, and share interactive reports with stakeholders.

For release details or demo schedules, visit the following websites: here..

MongoDB announces pay-as-you-go pricing model

MongoDB, the latest general-purpose database platform, today announced the release of pay-as-you-go MongoDB Atlas with a free trial on the AWS Marketplace. This will allow users to easily build, scale, and manage data-rich applications using MongoDB Atlas in the AWS Marketplace for the first quarter of 2022.

This gives developers access to a simplified subscription experience and provides enterprises with another way to procure MongoDB in addition to the private negotiation offers already supported on the AWS Marketplace.

In addition, you don’t need any prior commitment to use MongoDB Atlas on AWS, and users are expected to pay only for the resources they actually use and grow based on their needs. MongoDB will also launch the ability to purchase MongoDB Professional Services on AWS re: Invent’s AWS Marketplace.

Tenable adds new features to Terrascan

Tenable, a cyber exposure company, today announced the addition of new features to Terrascan, an open source cloud-native security analyzer. These new features allow organizations to integrate security into DevOps tools, pipelines, and supply chains.

New features in Terrascan include:

  • Ability to identify risk in more laC and container definition formats
  • Integration with all major container registries
  • A more flexible developer workflow, including practical enforcement of security policies before changes are committed to the code repository and before they are applied to the runtime environment.
  • Improved ability filters and prioritization of survey results based on user needs
  • Deeper integration with external dashboards and reporting frameworks
  • A new graphical user interface that simplifies the creation and testing of new policies
Clearlake Capital Group acquires Quest Software

Quest Software, a global cybersecurity, data intelligence, and IT operations management software provider, has announced a formal agreement with Clearlake Capital Group, LP to acquire the company from Francisco Partners.

Patrick Nichols, current CEO of Quest Software, will continue to lead the organization supported by the existing management team. Upon completion of the transaction, Clear Lake will become a majority shareholder of Quest Software. The financial terms of the transaction have not been disclosed.

Behdad Eghbali, co-founder and managing partner of Clearlake, said: “We are pleased to partner with Quest CFOs Patrick and Carolyn McCarthy to leverage Clearlake’s OPS framework to help strengthen the company’s strategic growth plans.”

SD Times News Digest: Datalore for Enterprise 2021.3 Update. MongoDB has announced a pay-as-you-go pricing model. Tenable adds new features to Terrascan

Source link SD Times News Digest: Datalore for Enterprise 2021.3 Update. MongoDB has announced a pay-as-you-go pricing model. Tenable adds new features to Terrascan

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SD Times news digest: Datalore for Enterprise 2021.3 updates; MongoDB announces pay …

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Posted on mongodb google news. Visit mongodb google news

JetBrains announced the release of Datalore Enterprise 2021.3, introducing support for database connections and SQL cells, interactive report publishing, R and Scala support, and out-of-the-box visualization options.

With database connections and SQL cells, users can now connect to a wide range of databases from the interface, browse database schema, and then query their data using native SQL cells. In addition, with interactive reports users can easily turn notebooks into interactive data stories in one click, as well as hide cells from viewers and share interactive reports with stakeholders.

For more information on the release, or to schedule a demo, visit here

MongoDB announces pay-as-you-go pricing model

MongoDB, a modern, general purpose database platform, today announced the launch of pay-as-you-go MongoDB Atlas with a free trial in AWS Marketplace. This will make it easier for users to build, scale, and manage data-rich applications with MongoDB Atlas in AWS Marketplace in calendar Q1 2022. 

With this, developers gain access to a simplified subscription experience and enterprises are offered another way to procure MongoDB in addition to privately negotiated offers already supported on AWS Marketplace.

In addition, there will be no up-front commitments required in order to use MongoDB Atlas on AWS and users will only be expected to pay for the resources they actually use and scale based on their needs. MongoDB is also launching the capability for customers to purchase MongoDB Professional Services in AWS Marketplace at AWS re:Invent.

Tenable adds new features to Terrascan 

Tenable, a cyber exposure company, today announced new features being added to Terrascan, the open source cloud native security analyzer. These new features allow organizations to embed security into their DevOps tooling, pipelines, and supply chains.

Among Terrascan’s new capabilities are 

  • The ability to identify risks in more laC and container definition formats 
  • Integration with all major container registries
  • More flexible developer workflows, including the pragmatic enforcement of security policies before changes are committed into the code repository and before they are applied to the runtime environment 
  • Improved ability filter and prioritize findings based on user needs 
  • Deeper integration with external dashboards and reporting frameworks 
  • A new graphical user interface to simplify creation and testing of new policies 
Clearlake Capital Group acquires Quest Software 

Quest Software, a global cyber security, data intelligence, and IT operations management software provider, announced that it has signed a definitive agreement with Clearlake Capital Group, L.P. to acquire the company from Francisco Partners. 

Patrick Nichols, the current CEO of Quest Software, will continue to lead the organization supported by the existing executive management team. After closing the transaction, Clearlake will become the majority shareholder in Quest Software. The financial terms of the transaction were not disclosed.

“We have long admired Quest as a leading identity-centric cybersecurity, data intelligence, and IT operations management software platform and the Company’s software solutions that help secure enterprise IT environments,” said Behdad Eghbali, co-founder and managing partner at Clearlake. “We are excited to partner with Patrick and Carolyn McCarthy, Quest’s CFO, to utilize Clearlake’s O.P.S. framework to help the Company strengthen its strategic growth plans.”

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

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Is Mongodb Inc (MDB) a Smart Choice in Software – Infrastructure Tuesday? – InvestorsObserver

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Mongodb Inc (MDB) is near the top in its industry group according to InvestorsObserver. MDB gets an overall rating of 53. That means it scores higher than 53 percent of stocks. Mongodb Inc gets a 79 rank in the Software – Infrastructure industry. Software – Infrastructure is number 99 out of 148 industries.

Overall Score - 53
MDB has an Overall Score of 53. Find out what this means to you and get the rest of the rankings on MDB!

What do These Ratings Mean?

Analyzing stocks can be hard. There are tons of numbers and ratios, and it can be hard to remember what they all mean and what counts as “good” for a given value. InvestorsObserver ranks stocks on eight different metrics. We percentile rank most of our scores to make it easy for investors to understand. A score of 53 means the stock is more attractive than 53 percent of stocks.

This ranking system incorporates numerous factors used by analysts to compare stocks in greater detail. This allows you to find the best stocks available in any industry with relative ease. These percentile-ranked scores using both fundamental and technical analysis give investors an easy way to view the attractiveness of specific stocks. Stocks with the highest scores have the best evaluations by analysts working on Wall Street.

What’s Happening With Mongodb Inc Stock Today?

Mongodb Inc (MDB) stock is trading at $521.67 as of 10:38 AM on Tuesday, Nov 30, a drop of -$4.31, or -0.82% from the previous closing price of $525.98. The stock has traded between $521.67 and $542.70 so far today. Volume today is less active than usual. So far 187,438 shares have traded compared to average volume of 661,703 shares.

Click Here to get the full Stock Report for Mongodb Inc stock.

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Introducing Angular 13

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MMS Guy Nesher

Article originally posted on InfoQ. Visit InfoQ

Google recently announced the release of Angular 13, their popular single-page application framework, continuing the steady stream of small improvements we have seen since the release of the Ivy engine in Angular 9.

Angular 13 provides an update to the component API removing the need to use the ComponentFactoryResolver factory. Instead, new components can now be created using the ViewContainerRef.createComponent, reducing the boilerplate code needed to create components dynamically.

In addition, the legacy “View Engine” that was replaced by Ivy in Angular 9 is finally phased out. The process was initially delayed in order to give library maintainers a chance to migrate to the new engine. The move will reduce dependency on the angular compatibility compiler, which should enable faster builds in the future.

Angular 13 also sees the deprecation of Internet Explorer 11. While the official end-of-life date for Internet Explorer is still several months away, the low usage statistics coupled with the maintenance overhead spurred the Angular team to proceed with an earlier deprecation.

Projects that still support IE11 are advised to continue to use Angular 12, which will receive support past the planned end-of-life date of IE11.

On the compilation front, the Angular CLI will now use persistent build-cache by default for new Angular 13 projects. In most cases, this change should provide build time improvements of up to 68%.

Existing projects can enable the feature by making the following change to the angular.json configuration:

"cli": {
    "cache": {
        "enabled": true,
        "path": ".cache",
        "environment": "all"
    }
}

Angular 13 also enables the new tear-down process for TestBed by default. This feature was introduced in Angular 12.1.0. The new process clears the DOM after every test, resulting in more independent tests and a lower memory footprint.

Existing projects can enable this feature by updating the TestBed.initTestEnvironment method with the following code:

beforeEach(() => {
    TestBed.resetTestEnvironment();
    TestBed.initTestEnvironment(
        BrowserDynamicTestingModule,
        platformBrowserDynamicTesting(),
        {
            teardown: { destroyAfterEach: true }
        }
    );
});

Finally, Angular 13 adopts TypeScript 4.4 and RxJS to 7.4. While TypeScript will be updated automatically for existing applications, RxJS will need to be upgraded manually as it includes some breaking changes.

While upgrading Angular projects is often straightforward, developers are advised to use the interactive upgrade guide at https://update.angular.io/.

For the full release announcement, head to the official Angular blog post.

Angular is open-source software available under the MIT license. Contributions are welcome via the Angular GitHub repository.

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How to Download and Install Apache Cassandra on Ubuntu – Bollyinside

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This tutorial is about the How to Download and Install Apache Cassandra on Ubuntu. We will try our best so that you understand this guide. I hope you like this blog How to Download and Install Apache Cassandra on Ubuntu. If your answer is yes then please do share after reading this.

Check How to Download and Install Apache Cassandra on Ubuntu

Apache Cassandra is a powerful open source NoSQL database engine that offers fault tolerance, linear scalability, and consistency across multiple nodes. Due to its distributed architecture, Apache Cassandra handles large amounts of data using Dynamo-style replication. Here, replicas are stored on multiple nodes in a cluster, thus ensuring high availability and zero points of failure. Apache Cassandra is ideal for IoT applications that collect large amounts of data. It is also useful for social media analytics, messaging services, and retail applications.

Companies using Apache Cassandra include Netflix, Facebook, Cisco, Hulu, Twitter, and many more. The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault tolerance on commercially available hardware or cloud infrastructure make it the perfect platform for business-critical data. Cassandra’s support for replication across multiple data centers is best-in-class, giving its users lower latency and the peace of mind that they can survive regional outages.

Apache Cassandra on Linux

The Apache Cassandra NoSQL database engine was built using the Java programming language and is licensed under the Apache 2.0 data protection license. The Apache Cassandra tool git repository contains all versions of Cassandra. The Apache Cassandra NoSQL database works with Java on Linux. It can read, write and repair databases.

Under Linux, Apache Cassandra can really help you find faulty cluster data from a huge amount of data; Additionally, it has been used for decades due to its distributed storage method and flexibility. In this post we will see how to install Apache Cassandra on Linux.

Install Apache Cassandra on Ubuntu / Debian distribution

Since Apache Cassandra is written in Java, obviously Java will need to be installed and configured on the system to install the Cassandra tool on Ubuntu and other Linux systems. Here we will first install the Java packages on our Ubuntu machine, then we will install Apache Cassandra via Java and HTTPS protocol.

Install Java on Ubuntu / Debian

Installing Java on Ubuntu and Debian distributions is easy and straightforward. First, update your system repository, then run the following apt command to install Java on the system.

  • sudo apt update
  • sudo apt install openjdk-8-jdk -y

When the installation is complete, you can run a quick version check to make sure Java runs correctly. If you see that there are other versions of java installed on the machine, make sure Java 1.8 is on the machine.

java -version

Install HTTPS Ubuntu Linux

HTTPS will allow the Apache Cassandra tool to be executable on the Ubuntu Linux system. You can run the following apt command in the terminal shell to install the HTTPS protocol on the system.

  • sudo apt install apt-transport-https

Then the following commands to add the Cassandra key for the network protocols on your Ubuntu system.

  • sudo sh -c ‘echo “deb http://www.apache.org/dist/cassandra/debian 40x main”> /etc/apt/sources.list.d/cassandra.list’
  • wget -q -O – https://www.apache.org/dist/cassandra/KEYS | sudo apt-key add

Install Cassandra on Ubuntu Linux

Finally, you can now run the commands given below to update the system repository and install the Apache Cassandra NoSQL DB engine on your Linux machine. If you install the Java and HTTPS protocols correctly on your system, the following commands will not take long to finish the Cassandra installation.

  • sudo apt update
  • sudo apt-get install cassandra

Monitor Cassandra on Ubuntu

Monitoring the Apache Cassandra tool on Ubuntu requires root access to the system. At first, you can run the following node tool command to check Cassandra status, runtime details, and cluster status.

The following system control commands will allow you to start and restart the Cassandra service. It will also let you know the status of Cassandra on your system.

  • sudo systemctl status cassandra
  • sudo systemctl start cassandra
  • sudo systemctl restart Cassandra

You can also use the following superuser permission system control commands to stop and enable Cassandra services on your Linux machine.

  • sudo systemctl stop cassandra
  • sudo systemctl enable Cassandra

To edit and configure the Apache Cassandra configuration file, you may need to make a backup copy of the current configuration script. Later, we will use the file to restore the default settings if you screw something up.

  • sudo cp /etc/cassandra/cassandra.yaml /etc/cassandra/cassandra.yaml.backup

Then you can edit the script with your favorite script editing tool.

  • $ sudo vim /etc/cassandra/cassandra.yaml

Finally, to log into the Apache Cassandra database, run the following command; will allow you to enter Cassandra’s query language.

Install Cassandra on Fedora Workstation

Installing Apache Cassandra on a Fedora or other Red Hat-based system requires Java services on both the server and the client. You can run the following command to get a broad view of the Cassandra packages on your system.

Install Cassandra on Fedora

Since the Apache database provides the official Cassandra repository for Linux, you can use the official DNF package installer command to install the Apache Cassandra tool on Fedora Linux.

Run the following DNF command with root access to install Apache Cassandra on your DENF-based Linux environments.

  • $ sudo dnf install cassandra cassandra-server

Add firewall for Cassandra in Fedora

If your DNF-based system has an active firewall system, you can run the following commands to allow your firewall daemon to allow Cassandra applications.

  • sudo firewall-cmd –zone = public –add-port = 9081 / tcp –permanent
  • sudo firewall-cmd –zone = public –add-port = 9042 / tcp –permanent
  • sudo firewall-cmd –reload

If you are a former Cassandra user, you can run the following command in the shell to run the system control commands to stop the Cassandra tool.

  • $ sudo systemctl stop cassandra
  • $ sudo rm -rf / var / lib / cassandra / data / system / *

Installing Apache Cassandra on Arch-based Linux

The CLI method to install the Apache Cassandra tool on Arch and other Arch-based systems requires the Snap daemon on the system. If you don’t have the Snap daemon installed on your system, follow this post for the guidelines on how to install and use Snap on Linux machine.

When you have the Snap system installed on the machine, you can now run the following Snap command to install the latest Apache Cassandra tool on your Arch Linux. Here, I have used the Manjaro KDE desktop to demonstrate how to install Apache Cassandra on the Arch system.

  • sudo snap install cassandra –edge

Get started with Apache Cassandra

When the installation is complete, run the system control command below to start and restart the Cassandra tool on the system.

  • $ sudo systemctl start cassandra
  • $ sudo systemctl restart Cassandra

The following Cassandra query language will help you create a new superuser on your system for Cassandra.

  • cqlsh> CREATE PAPER WITH PASSWORD = “
  • AND SUPERUSER = true
  • AND LOGIN = true;

Final words: How to Download and Install Apache Cassandra on Ubuntu

I hope you understand this article How to Download and Install Apache Cassandra on Ubuntu, if your answer is no then you can ask anything via contact forum section related to this article. And if your answer is yes then please share this article with your family and friends.

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JetBrains Launches Lightweight IDE Fleet, Cloud Workspaces for IntelliJ

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MMS Sergio De Simone

Article originally posted on InfoQ. Visit InfoQ

Fleet is JetBrains’ attempt to provide a polyglot, lightweight IDE, including support for remote workspaces. Additionally, the latest release of IntelliJ also brings support for remote development to JetBrains IDEs.

Fleet is a full-fledged editor that provides features you would normally expect in a code editor, such as syntax highlighting and code completion, as well as more advanced features such as refactoring, smart completion, support for debugging, and more. Fleet can be used with a number of different languages, including Java, Kotlin, Python, Go, Rust, and JavaScript/TypeScript. A future release will add support for C++, C#, HTML, and PHP.

At the foundation of Fleet lies a virtualized file system, which makes it possible to host your codebase wherever you prefer, be it locally, in a container, or in the Cloud.

To make it easier to configure a project in a given way, Fleet also supports remote workspaces through JetBrains Space, an new end-to-end solution to containerize your entire development environment and then create a workspace for any repository in a project in a matter of seconds, says JetBrains. Space supports orchestration and allows you to choose the size of the machine to spin up and to provide a Dockerfile to create the image.

Fleet is clearly a competitor to Visual Studio Code, which provides roughly the same set of characteristics, including support for remote development. Several developers highlighted JetBrains’ superior support for code completion and other advanced syntactical features for languages other than JavaScript/TypeScript. It remains to be seen how JetBrains will position Fleet on the market, whether it will be a paid product or it will go directly after Visual Studio Code as a free or freemium product.

At the moment, Fleet is available to developers as a preview under the Fleet Explorer program.

Alongside Fleet, JetBrains also announced support for remote development capabilities in its IDEs. This will make it possible to install the IDE as a backend service and load a project within it. A thin client will then connect to the backend to provide the UI. To make it easier to configure the remote backend, JetBrains is introducing Gateway. In addition to SSH-based remote development, Gateway also makes it possible to spin up the backend service in the JetBrains Space cloud, just like it happens with Fleet. This will bring the benefits of working with remote workspaces to all JetBrains IDEs that support Gateway.

The debate around remote development and Cloud workspaces is split into two fronts. Several developers stress the importance of having their source code reside on their local machines, while others stress the process simplification and greater security that keeping the code in a central server brings. This may be of value mostly to enterprises but not only to them. Individual developers may also find it convenient and safer to install their development environment, which usually includes plugins and extensions from different sources, in a local container.

We have already mentioned Visual Studio Code as a direct competitor to Fleet. Alternative solutions to Cloud-based workspaces are available through GitHub Codespaces and OpenVSCode Server.

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Business Effects of Intent Classification in NLP

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Article originally posted on Data Science Central. Visit Data Science Central

Intent classification is also known as intent recognition is a branch of Natural Language Processing that focuses on categorizing text into various groups in order to make it easier to understand. In essence, intent classification is the act of correctly detecting natural language speech from a set of pre-defined intentions.

Customer service is valued highly by many businesses. The interaction between an organization’s representative and a client may be automated in order to provide better service. The majority of clients have a specific request or question in mind when they contact the company. In order to service them, the customer’s objective must be classified.

The purpose of intent recognition or categorization is to determine why a customer contacted the firm and what the customer intends to achieve. A conversation system that uses intent categorization to automate the interaction can do so partially or totally. 

Human representations may benefit from intent classification as well, for example, by directing incoming messages to the representative with the necessary expertise.

Businesses can benefit from the use of intent classification in NLP.

Natural language processing (NLP) is used by chatbots to understand the user’s intent or reason for starting the conversation. Machine learning classification algorithms classify it and respond properly depending on the training data. It’s a critical feature that determines whether a chatbot will be effective in satisfying a user’s sales, marketing, or customer service objectives. 

At the end of the day, every customer interaction has a purpose or aim. To increase client retention, loyalty, and pleasure, you should respond quickly to consumers who want to make a purchase, request more information, or unsubscribe. A client who types “How can I discover my order status” into a chat window, for example, is most likely looking for just that. The computer detects the customer’s intent and directs them to an agent or bot who can help them with their query.

It’s not only about figuring out what the customer wants when it comes to successful intent classification. It may even assess client mood and determine whether a particular customer need special attention. The quality of training data is important when analyzing a machine’s capacity to recognize the correct intent and respond appropriately. For NLP and chatbots, Cogito has a lot of expertise gathering, categorizing, and analyzing various types of intent detection datasets.

The processes that must be followed in order for the chatbot to have a meaningful conversation are as follows:

1. Pre-processing of NLU

Natural language understanding (NLU) is a subset of natural language processing (NLP) that focuses on organizing unstructured user input so that the chatbot can understand and assess it. This is what this process comprises.

Analyze the syntax: Basic grammatical concepts, as well as word organization, combination, and connections, are all included.

Analytical semantics: It is the process of determining the meaning of a phrase by identifying the context of each word and comprehending the relationships between the text’s phrases.

2. Classification of Intent

Because classifiers are trained on relevant labelled datasets, this is a supervised learning application. Classifiers employ the following techniques:

1. Rule-based pattern matching

2. Machine learning classification approaches include decision trees, naive Bayes, and logistic regression.

3. Deep learning and artificial neural networks

Conclusion

Finally, with high-quality intent classification datasets, AI-powered chatbots can better inform users, assist with operational chores, and make it simpler for them to find relevant information. They streamline overall operations and respond quickly to questions about service price, appointment scheduling, and even mental health assistance.

Intent classification is used in supervised learning to appropriately categorize natural language utterances or text. The quality of the data will decide whether a machine learning model can provide good outcomes in unsupervised learning.

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MongoDB Stock Bearish Momentum With A 100% Slide In The Last 30 Days | Via News

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Posted on mongodb google news. Visit mongodb google news

(VIANEWS) – Shares of MongoDB (NASDAQ Composite: MDB) dropped by a staggering 100.43% in 30 days from $513.95 to $-2.21 at 20:38 EST on Monday, after two sequential sessions in a row of gains. NASDAQ Composite is jumping 0.45% to $15,993.71, following the last session’s downward trend.

MongoDB’s last close was $518.61, 11.63% under its 52-week high of $586.83.

Volume

Today’s last reported volume for MongoDB is 969198 which is 12.8% above its average volume of 859160.

The company’s growth estimates for the ongoing quarter and the next is a negative 19.4% and a negative 3%, respectively.

MongoDB’s Revenue

Year-on-year quarterly revenue growth grew by 43.7%, now sitting on 702.16M for the twelve trailing months.

Volatility

MongoDB’s last week, last month’s, and last quarter’s current intraday variation average was a positive 0.17%, a negative 0.05%, and a positive 2.88%, respectively.

MongoDB’s highest amplitude of average volatility was 2.44% (last week), 2.84% (last month), and 2.88% (last quarter), respectively.

Stock Price Classification

According to the stochastic oscillator, a useful indicator of overbought and oversold conditions,

MongoDB’s stock is considered to be oversold (<=20).

MongoDB’s Stock Yearly Top and Bottom Value

MongoDB’s stock is valued at $-2.21 at 20:38 EST, way under its 52-week low of $238.01.

MongoDB’s Moving Average

MongoDB’s value is way under its 50-day moving average of $499.35 and way below its 200-day moving average of $392.84.

More news about MongoDB (MDB).

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

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Earnings Preview: MongoDB (MDB) Q3 Earnings Expected to Decline – Yahoo Finance

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Posted on mongodb google news. Visit mongodb google news

Wall Street expects a year-over-year decline in earnings on higher revenues when MongoDB (MDB) reports results for the quarter ended October 2021. While this widely-known consensus outlook is important in gauging the company’s earnings picture, a powerful factor that could impact its near-term stock price is how the actual results compare to these estimates.

The stock might move higher if these key numbers top expectations in the upcoming earnings report, which is expected to be released on December 6. On the other hand, if they miss, the stock may move lower.

While management’s discussion of business conditions on the earnings call will mostly determine the sustainability of the immediate price change and future earnings expectations, it’s worth having a handicapping insight into the odds of a positive EPS surprise.

Zacks Consensus Estimate

This database platform is expected to post quarterly loss of $0.41 per share in its upcoming report, which represents a year-over-year change of -32.3%.

Revenues are expected to be $203.46 million, up 35% from the year-ago quarter.

Estimate Revisions Trend

The consensus EPS estimate for the quarter has remained unchanged over the last 30 days. This is essentially a reflection of how the covering analysts have collectively reassessed their initial estimates over this period.

Investors should keep in mind that an aggregate change may not always reflect the direction of estimate revisions by each of the covering analysts.

Price, Consensus and EPS Surprise

Earnings Whisper

Estimate revisions ahead of a company’s earnings release offer clues to the business conditions for the period whose results are coming out. This insight is at the core of our proprietary surprise prediction model — the Zacks Earnings ESP (Expected Surprise Prediction).

The Zacks Earnings ESP compares the Most Accurate Estimate to the Zacks Consensus Estimate for the quarter; the Most Accurate Estimate is a more recent version of the Zacks Consensus EPS estimate. The idea here is that analysts revising their estimates right before an earnings release have the latest information, which could potentially be more accurate than what they and others contributing to the consensus had predicted earlier.

Thus, a positive or negative Earnings ESP reading theoretically indicates the likely deviation of the actual earnings from the consensus estimate. However, the model’s predictive power is significant for positive ESP readings only.

A positive Earnings ESP is a strong predictor of an earnings beat, particularly when combined with a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold). Our research shows that stocks with this combination produce a positive surprise nearly 70% of the time, and a solid Zacks Rank actually increases the predictive power of Earnings ESP.

Please note that a negative Earnings ESP reading is not indicative of an earnings miss. Our research shows that it is difficult to predict an earnings beat with any degree of confidence for stocks with negative Earnings ESP readings and/or Zacks Rank of 4 (Sell) or 5 (Strong Sell).

How Have the Numbers Shaped Up for MongoDB?

For MongoDB, the Most Accurate Estimate is the same as the Zacks Consensus Estimate, suggesting that there are no recent analyst views which differ from what have been considered to derive the consensus estimate. This has resulted in an Earnings ESP of 0%.

On the other hand, the stock currently carries a Zacks Rank of #3.

So, this combination makes it difficult to conclusively predict that MongoDB will beat the consensus EPS estimate.

Does Earnings Surprise History Hold Any Clue?

Analysts often consider to what extent a company has been able to match consensus estimates in the past while calculating their estimates for its future earnings. So, it’s worth taking a look at the surprise history for gauging its influence on the upcoming number.

For the last reported quarter, it was expected that MongoDB would post a loss of $0.41 per share when it actually produced a loss of $0.24, delivering a surprise of +41.46%.

Over the last four quarters, the company has beaten consensus EPS estimates four times.

Bottom Line

An earnings beat or miss may not be the sole basis for a stock moving higher or lower. Many stocks end up losing ground despite an earnings beat due to other factors that disappoint investors. Similarly, unforeseen catalysts help a number of stocks gain despite an earnings miss.

That said, betting on stocks that are expected to beat earnings expectations does increase the odds of success. This is why it’s worth checking a company’s Earnings ESP and Zacks Rank ahead of its quarterly release. Make sure to utilize our Earnings ESP Filter to uncover the best stocks to buy or sell before they’ve reported.

MongoDB doesn’t appear a compelling earnings-beat candidate. However, investors should pay attention to other factors too for betting on this stock or staying away from it ahead of its earnings release.

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

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