Resources

MongoDB Atlas App Services Webinar Korea

Migration through Live Migrate and Mongomirror

In this MongoDB office hours session Ajay Raghav, Solutions Architect MongoDB covers prerequisites to migration and the best tooling for the same. How to migrate from MongoDB Community to MongoDB Atlas with near zero downtime? Sign up for the session to be able to confidently approach migration of a MongoDB environment.

Study: What’s Driving Next-Generation Data Platform Adoption in Financial Services

MongoDB commissioned Forrester Consulting to conduct a study questioning global IT decision makers at financial services and fintech organizations to evaluate the impact they are experiencing when adopting next-generation data platforms – which have become foundational for financial services to address diverse new workloads and modern applications. Download the 'What’s Driving Next-Generation Data Platform Adoption in Financial Services' study to learn about organizations’ needs and plans for using next-generation data platforms. Study highlights: Nearly 90% of respondents say they are using a next-generation platform today, with 51% planning/currently using it for fraud detection, and 46% for risk management/analytics Multi/hybrid cloud is the top feature driving investment High costs and complexity are the top challenges respondents are facing with their current database Legacy infrastructure is too expensive and cannot keep up with current and future demand The benefits respondents are experiencing when adopting next-gen data platforms include minimizing data inconsistencies, expanding geographical coverage, and freeing up resources

Application-Driven Analytics: In-App and Real-Time Insights for Retailers

Build deeper business insights with in-app analytics and real-time business visibility In today’s competitive digital ecommerce landscape, retailers are fighting for the attention of shoppers who are tech-savvy, mobile, and receiving ads for hundreds of deals and promotions across multiple platforms every day. Today’s consumers expect personalized digital shopping experiences that offer dynamic and relevant recommendations, too. Modern retail applications will be defined by their ability to drive better customer experiences, surface insights, and take action directly within the application on live operational data, in real time. As analytics “shift left” to the source of the data, application developers take on the task of delivering next generation data analytics to their organizations. Application-driven analytics can be leveraged to meet two broad use cases: In-App Analytics and Real-Time Business Visibility. This paper reviews: How retailers can improve internal operations using the capabilities of the MongoDB developer data platform through both in-app analytics and real-time business visibility A personalization use case that includes integration with external machine learning engines like Amazon SageMaker and Databricks Fill in the form with your details to read the white paper.

AMER November Atlas 101 eWorkshop

This Atlas 101 eWorkshop will help you use MongoDB Atlas, our fully-managed database, to increase developer and DevOps productivity by streamlining operations and management. MongoDB Atlas ensures that when you deploy your clusters in the cloud provider of your choice, your databases are run according to operational and security best practices. Register below to learn how you will gain a competitive advantage when moving to MongoDB Atlas.

Jump-Start Your TM Forum Open APIs with MongoDB

Application-Driven Analytics

2pm GMT (9am EST) or 12pm EST By building smarter apps and increasing the speed of business insights, Application-Driven Analytics gives you the opportunity to out-innovate your competitors and improve efficiency. To do this however, you can no longer rely only on copying data out of your operational systems into separate analytics stores. Moving data takes time. Instead, analytics has to be “shifted left” to the source of your data – to the applications themselves. We call this shift application-driven analytics. And it’s a shift that both your developers and analytics teams need to be ready to embrace. Join us on 1/18 to learn more about the next major evolution in application development. We will cover: The rise of application-driven analytics and the problems it solves. The foundational capabilities needed to be successful on the journey to smarter applications. Organizations that are already reaping the benefits of application-driven analytics. Register today to save your spot.

Advanced Querying Beyond The Basics

11 AM ET A frequently asked question in the MongoDB community is “I’m designing an application to do X, how do I model the data?” In this live webinar we will examine the most important considerations when making decisions about your data model, so that you can create the model that best fits your application. You will learn: The differences between data modeling in MongoDB vs. relational databases The key considerations for data modeling with MongoDB How to further enhance the power of the document model with schema design patterns Register today to save your spot. We look forward to seeing you there!

Moving from Relational Data to MongoDB for Oil & Gas

Serverless Application Development with MongoDB Atlas and Cloud Run

10am GMT Serverless allows developers to focus on the thing they like to do the most — writing software — and leave the rest of the attributes including infrastructure and maintenance to the platform offerings. In this webinar, we are going to see how Cloud Run and MongoDB Atlas come together to enable a completely serverless application development experience This webinar will cover: Challenges of traditional deployment architectures What is serverless and why should I care? Serverless architecture with MongoDB Atlas and Google Cloud Run Demo of deploying a 100% serverless web app with Terraform Q&A

MongoDB Secure by Default & Queryable Encryption APAC

In this session you will learn: How with MongoDB Atlas, your data is protected with pre-configured security features for authentication, authorization, encryption, and more. About the preview release of Queryable Encryption, which allows customers to encrypt sensitive data from the client side, store it as fully randomized encrypted data on the database server side, and run expressive queries on the encrypted data. Why there is no need to write special client-side query handling or be an expert in cryptography to deliver the highest levels of security with optimized performance. Don’t miss this opportunity to learn and sign up for the session

Built Up Analytics Platform with MongoDB Atlas

MongoDB Atlas enables the organizations with a distributed data platform for various use cases and workloads, from transactional, search, data lake to real-time analytics. This webinar focuses primarily to Atlas capabilities which supports to build up the strong analytics platform in real-time manner.