Resources

Advanced Data Modeling for Financial Services and Insurance (APAC timezone)

With its document-oriented data model, real-time analytics capabilities, and seamless integration with other cutting-edge technologies, MongoDB has become the go-to choice for forward-thinking financial and insurance institutions. Since the relational schema and MongoDB schema are different, a question that keeps getting asked is: “I’m designing an application to do X, how do I model the data?” How you model your data early on affects the speed of development throughout your application lifecycle and can have ramifications on performance far down the line. In this webinar, we will examine the most important considerations for financial applications when making decisions about the data model that best fits your application. This session is designed to introduce developers, technologists, and technical decision-makers to the NoSQL mindset for financial organizations and to break down NoSQL data modeling for real-world workloads. We'll cover: The differences between data modeling in MongoDB vs. relational databases How to further enhance the power of the document model with schema design patterns applied to financial use cases

Comparing PostgreSQL vs. MongoDB: Which Is Better for AI Workloads?

In this webinar, we reveal results from our benchmark tests between these two different database systems. The webinar was presented by MongoDB Field CTO, Rick Houlihan, who has decades of experience working with RDBMS, PostgreSQL, and document databases like MongoDB. Watch now and find out why it’s essential to consider database platforms specifically designed to handle large, complex data structures to effectively support modern AI applications.

Intelligent Application Modernization with MongoDB Atlas and AWS

In the rapidly evolving world of technology, modernizing applications to meet current and future demands is crucial. Watch our insightful webinar, "Intelligent Application Modernization with MongoDB Atlas and AWS," where we delved into the strategic advantages and practical steps for migrating your applications to MongoDB Atlas on AWS. Sweta Dwivedi, Solutions Architect at MongoDB and Srikar Reddy Kasireddy, Solutions Architect Specialist at AWS discussed: Why migrate to MongoDB Atlas on AWS: Discover the compelling reasons to transition to MongoDB Atlas on AWS, including enhanced performance, scalability, and security, as well as opportunities for significant cost savings and operational efficiencies. Planning migration projects: Gain insights into effective planning and execution of migration projects. Learn best practices for assessing your current environment, setting realistic timelines, and managing risks to ensure a smooth and successful migration. Relational Migrator overview: Get an overview of the Relational Migrator tool, designed to streamline and simplify the migration of relational databases to MongoDB Atlas. Understand its key features, capabilities, and how it can accelerate your migration process. Amazon Q Developer: Explore Amazon Q Developer, a powerful suite of tools and services that enhance the development and deployment of applications on AWS. Learn how it integrates with MongoDB Atlas to offer a robust and scalable solution for modern application development. Live demo: Witness a live demonstration showcasing the migration process from a traditional relational database to MongoDB Atlas on AWS. See firsthand the ease of use, speed, and reliability of the tools and services discussed. Watch this webinar today and unlock the full potential of your applications with MongoDB Atlas and AWS. Equip yourself with the knowledge and tools needed to lead your organization through a seamless and intelligent application modernization journey.

Atlas 101 eWorkshop (English)

Atlas 101 eWorkshop (English)

Building Agentic RAG Apps with MongoDB, Unstructured, and LangGraph

Whether you are building advanced search applications, intelligent chatbots, or agentic systems involving a RAG component, this webinar will provide you with actionable insights to take your LLM applications to the next level. Watch Apoorva Joshi, Senior Developer Advocate at MongoDB, and Maria Khalusova, Staff Developer Advocate at Unstructured where they will show you how to leverage Unstructured.io to build a data processing pipeline to chunk, embed, and extract rich metadata from raw documents. You will also learn how to use MongoDB Atlas Vector Search and MongoDB’s Aggregation framework to seamlessly combine the extracted metadata with embeddings to improve the retrieval quality and relevance of semantic search. Finally, you will learn how to orchestrate an agentic RAG system with a self-querying retriever using LangGraph.

Interview : La migration réussie de D-Edge sur MongoDB Atlas

Découvrez l'interview de D-Edge sur leur migration réussie sur MongoDB Atlas pour scaler rapidement grâce à une data platform fully managed, flexible, hautement disponible et sécurisée.

Intro to Data Modeling for Financial Services and Insurance (AMER timezone)

Learn about key data modeling techniques that drive success in real-world Financial Services and Insurance use cases from transactions to fraud detection. With its document-oriented data model, real-time analytics capabilities, and seamless integration with other cutting-edge technologies, MongoDB has become the go-to choice for forward-thinking financial and insurance institutions. In this webinar, we will examine the most important considerations for financial applications when making decisions about your data model, including fraud detection and transaction examples. This session is designed to introduce developers, technologists, and technical decision-makers to the NoSQL mindset for financial organizations and to break down NoSQL data modeling for real-world workloads. We'll cover: An overview of MongoDB in the Financial Services and Insurance industries The differences between data modeling in MongoDB vs. relational databases Data modeling demo for transactions and fraud detection How to further enhance the power of the document model with schema design patterns applied to specific use cases You will hear from: Michael Lynn: Principal Developer Advocate at MongoDB

Intelligent Application Modernization with MongoDB Atlas and AWS

In the rapidly evolving world of technology, modernizing applications to meet current and future demands is crucial. Watch this insightful webinar, "Intelligent Application Modernization with MongoDB Atlas and AWS," where we delved into the strategic advantages and practical steps for migrating your applications to MongoDB Atlas on AWS. In this webinar, Christiano Bucio, Customer Solutions Manager at AWS and Luiz Alves, Senior Solutions Architect at MongoDB discussed: Why migrate to MongoDB Atlas on AWS: Discover the compelling reasons to transition to MongoDB Atlas on AWS, including enhanced performance, scalability, and security, as well as opportunities for significant cost savings and operational efficiencies. Planning migration projects: Gain insights into effective planning and execution of migration projects. Learn best practices for assessing your current environment, setting realistic timelines, and managing risks to ensure a smooth and successful migration. Relational Migrator overview: Get an overview of the Relational Migrator tool, designed to streamline and simplify the migration of relational databases to MongoDB Atlas. Understand its key features, capabilities, and how it can accelerate your migration process. Amazon Q Developer: Explore Amazon Q Developer, a powerful suite of tools and services that enhance the development and deployment of applications on AWS. Learn how it integrates with MongoDB Atlas to offer a robust and scalable solution for modern application development. a Live demo: Witness a live demonstration showcasing the migration process from a traditional relational database to MongoDB Atlas on AWS. See firsthand the ease of use, speed, and reliability of the tools and services discussed. Watch this webinar today to unlock the full potential of your applications with MongoDB Atlas and AWS. Equip yourself with the knowledge and tools needed to lead your organization through a seamless and intelligent application modernization journey.

Cutting Through AI Hype: Real Opportunities for Developers

IDC estimates that by 2027, 70% of enterprises will adopt a composable, internal-facing app platform empowering developers to source and personalize discovery of development-related products, services, and infrastructure. In the AI Everywhere era, seizing opportunities responsibly will be critical for success. As AI investments grow, focus on business value, data governance, and data management is becoming paramount. Lowering the barriers to entry can help accelerate adoption and AWS and MongoDB are striving to deliver this through integrations and AI innovation. In this webinar, we discussed the latest enterprise trends in AI adoption, the challenges, and how to leverage AI and GenAI innovation in developer data platforms and cloud infrastructure. We also talked about how savvy organizations are overcoming these to build end-to-end, improved developer experience. IDC, MongoDB and AWS talked through: The value of AI infrastructure and developer data platform in multiple use cases: Faster application modernization with smooth data migration, automating complex and laborious tasks, building AI-infused applications, smarter coding, deeper visualization, operational efficiency, and much more) Recommendations on what good looks like: Composability, developer-friendly UI, deep integration, flexibility and choice of AI, security and governance, value of built-in AI and GenAI capabilities for developers The golden path to success: moving beyond the hype to capitalizing on AI in developer platforms to accelerate innovation. Watch the recording today!

Building Powerful Gen AI Applications With Google Cloud and MongoDB

The application development landscape is evolving very rapidly. Today, users crave intuitive, context-aware experiences that reflect their intent and deliver relevant results even when queries aren't perfectly phrased. This level of hyper-personalization is now enabled through generative AI-powered applications. MongoDB Atlas and Google Cloud Vertex AI can help developers build and deploy gen AI-powered apps faster and at scale. In this webinar, Kaijun Xu, Data Analytics Specialist, Tech ISV Partners at Google Cloud and Kevin See, Solutions Architect at MongoDB talked about how to: Simplify data management — Discover how MongoDB Atlas on Google Cloud eliminates database complexities. Free your team to focus on what truly matters: innovation. Unlock data's power — Learn how MongoDB's flexible platform empowers you to build modern, data-driven applications with ease. Dive into the world of generative AI and see how it can transform your business. Accelerate your cloud journey — See how MongoDB Atlas seamlessly integrates with Google Cloud, leveraging the power of Vertex AI to enhance development and drive growth. Take your cloud capabilities to the next level. Watch the webinar today!

Atlas 201 eWorkshop - English