Resources

December 19, 2024

Atlas 201 eWorkshop (English)

10 A.M. CET Join the MongoDB team and enjoy 3 hours of free online labs to help you make the most of MongoDB’s Developer Data Platform. This workshop is built on our Atlas 101 eWorkshop to continue the learnings. In this exclusive workshop you will get a full overview on how to migrate from a relational database to MongoDB followed by hands-on exercises and direct access to our expert panel. During this time, you will learn how to: Migrate from a relational databases to MongoDB How to build design patterns using MongoDB How to create aggregation pipelines How to use Atlas Vector Search and AI for context aware search Attendees will receive $50 in MongoDB Atlas credit.

Save your seat →

December 10, 2024

Atlas Search eWorkshop (English)

10 A.M. CET Join the MongoDB team on December 10th for a three hour workshop dedicated to AI applications to discover why MongoDB Atlas is the ideal platform to build modern semantic search apps, leveraging text search, vector search and large language models. During this workshop, you will be able to learn more about features of the MongoDB's Developer Data Platform, including a follow-along, hands-on project to implement an AI application. We will cover various functionalities of MongoDB, as well as useful LLM techniques. In particular: Leverage Atlas to build a semantic search using LLMs for pre-summarization and information extraction Learn how to get started developing your first semantic search app Atlas with a free cluster Use automatic client side encryption to store user secrets securely (we're going to access users Google Drive Docs!) Learn about the pre-summarization technique, an alternative to chunking techniques Store LLM interactions and keep track of model usage and costs using Atlas Charts Use langchain to compare costs & performance of various models, featuring open-source models, OpenAI, Anthropic, Cohere & Mistral. Implement access control for vector search Build a basic RAG pipeline to search across stored facts Attendees will receive $50 in MongoDB Atlas credit.

Save your seat →

November 19, 2024

Easily integrating MongoDB Atlas and Apache Kafka with Atlas Stream Processing

11:00 - 11:30 A.M ET In this webinar, join Kenny Gorman, Head of Streaming Products at MongoDB, to learn how Atlas Stream Processing makes integrating your data in MongoDB Atlas and Apache Kafka easy, cost-effective, and performant. You will learn: How to get started with Atlas Stream Processing How to set up a connection to your Apache Kafka sources, whether self-managed or hosted on Confluent Cloud, Redpanda, Azure Event Hubs, or AWS MSK How to build stream processing pipelines to do everything from simple data movement to complex, stateful processing We hope you join us!

Save your seat →

November 28, 2024

Atlas 101 eWorkshop (English)

10 a.m. CET Join the MongoDB team and enjoy 3 hours of free online labs to help you make the most of MongoDB’s Developer Data Platform. MongoDB Atlas ensures that when deploying a cluster in the cloud provider of your choice, the database will be run according to operational and security best practices. Join us in this exclusive workshop and get a full technical overview and demo of MongoDB Atlas followed by hands on exercises and direct access to our expert panel. During this time, you will learn how to: Create a database cluster using MongoDB Atlas Secure the database & Load sample data Create indexes and leverage them in your aggregation pipelines using Atlas Get started with MongoDB Charts and create visual representations of your data How to use Atlas Vector Search and AI for context aware search And so much more! Attendees will receive $50 in MongoDB Atlas credit.

Save your seat →

November 19, 2024

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

10 A.M. GMT/ 3:30 P.M. IST Online Transaction Processing (OLTP) systems traditionally focus on managing small, consistent data chunks, such as those found in banking, e-commerce, and other transactional environments. For decades, Relational Database Management Systems (RDBMS) like PostgreSQL have excelled in such scenarios. However, the rise of AI and machine learning applications has introduced new types of workloads that differ significantly from traditional OLTP requirements. These workloads require high throughput and the ability to manage and process vast amounts of data efficiently. This shift poses challenges for traditional RDBMS systems, which were not designed to handle the size, complexity, and variety of data typical of AI-driven environments. In our latest webinar, “Comparing PostgreSQL vs. MongoDB: Which Is Better for AI Workloads?,” we reveal results from our benchmark tests between these two different database systems. The webinar will be presented by MongoDB Field CTO, Rick Houlihan, who has decades of experience working with RDBMS, PostgreSQL, and document databases like MongoDB. Register 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.

Save your seat →

November 20, 2024

Atlas Vector Search Webinar (English)

10am CET Join the MongoDB team on November 20th for a webinar dedicated to Atlas Vector Search, the MongoDB solution for semantic search, integrated with generative AI. During this one-hour webinar, you will be able to learn more about the features of MongoDB's Developer Data Platform. In particular: How to use MongoDB Atlas for artificial intelligence-based applications Use cases of Atlas Vector Search Integration of MongoDB Atlas with LLM Don’t miss this opportunity to learn about Atlas Vector Search and get your questions answered. We look forward to seeing you there!

Save your seat →

November 21, 2024

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

9 A.M. SGT Online Transaction Processing (OLTP) systems traditionally focus on managing small, consistent data chunks, such as those found in banking, e-commerce, and other transactional environments. For decades, Relational Database Management Systems (RDBMS) like PostgreSQL have excelled in such scenarios. However, the rise of AI and machine learning applications has introduced new types of workloads that differ significantly from traditional OLTP requirements. These workloads require high throughput and the ability to manage and process vast amounts of data efficiently. This shift poses challenges for traditional RDBMS systems, which were not designed to handle the size, complexity, and variety of data typical of AI-driven environments. In our latest webinar, “Comparing PostgreSQL vs. MongoDB: Which Is Better for AI Workloads?,” we reveal results from our benchmark tests between these two different database systems. The webinar will be presented by MongoDB Field CTO, Rick Houlihan, who has decades of experience working with RDBMS, PostgreSQL, and document databases like MongoDB. Register 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.

Save your seat →

Unlock the Power of Search Nodes: Performance at Scale

November 19, 2024 1 P.M. ET One of the core tenets of MongoDB Atlas is to make it super fast and simple to get started. Adding search features to your app has meant coupling search and database usage on the same Atlas nodes. Due to this coupled architecture, users must size their workload to address both search and database needs. This introduces the possibility of resource contention, which can cause service interruptions. With the recent introduction of Atlas Search Nodes, we now offer better performance at scale, workload isolation, higher availability, and the ability to better optimize resource usage by decoupling search usage from database needs. In this webinar, Seth Payne, Staff Product Manager at MongoDB, will provide a guided walkthrough of Search Node functionality, and he’ll leave plenty of time to get all your questions answered by our product experts. The webinar includes: A walkthrough of Atlas Search Nodes. An overview of the benefits compared to coupled configurations. How to migrate and get started with Search Nodes. Highlights of a few success stories. A live Q&A with our product experts. Space is limited, please reserve your seat to join us live!

Watch webinar →

November 14, 2024

Build with MongoDB AI Applications Program: A Generative AI-Powered Predictive Maintenance Solution with MongoDB Atlas, Langchain and Cohere

11am EST | 5pm CET Join our Webinar: Build a Generative AI-Powered Predictive Maintenance Solution Unlock Predictive Maintenance Excellence with Generative AI Artificial intelligence (AI) is transforming industries globally, and manufacturing is leading the charge. Discover how generative AI is ushering in a new era of predictive maintenance / anticipating machine failures, generating repair plans, and delivering personalized guidance to ensure operational excellence. Why Attend? For manufacturers aiming for maintenance excellence, leveraging a unified data store and developer data platform is essential. MongoDB Atlas is the premier multi-cloud platform designed to simplify data handling, enabling you to integrate AI applications that analyze sensor data, predict failures, and optimize maintenance schedules. Webinar Highlights In this engaging session, you’ll learn how to build an end-to-end predictive maintenance solution using: MongoDB Atlas Langchain Cohere Experience an exclusive Agentic AI demo , showcasing how multiple AI agents collaborate in a predictive maintenance scenario. What You’ll Learn The Importance of Predictive Maintenance: How generative AI enhances maintenance excellence in Industry 4.0 architectures. Introduction to MongoDB Atlas Vector Search: Unlock powerful data insights. End-to-End Predictive Maintenance Architecture: A comprehensive overview. Agentic AI in Action: Practical applications for predictive maintenance. Live Demos: See the technology in action. Best Practices: Scaling and sustaining your generative AI applications. Who Should Attend? Whether you’re in Operations Technology (OT), Information Technology (IT), or a developer, architect, or data scientist, this webinar will provide valuable insights and actionable strategies to elevate your Industry 4.0 projects. Don’t miss this opportunity to transform your approach to predictive maintenance! You will hear from: Humza Akhtar, PhD Senior Principal, Industry Solutions at MongoDB

Save your seat →

November 14, 2024

Building Advanced Gen AI Apps with gravity9 and MongoDB

12pm ET An AI solution is only as good as its implementation. But many organizations — while seeing vast potential for gen AI in their business — are encumbered by legacy technology and may lack the expertise to plan and execute a successful implementation. That’s why we’re delighted to include gravity9 among our AI implementation partners. Join us for an exclusive webinar where we dive into the cutting-edge world of generative AI and discover how MongoDB Atlas Vector Search, in partnership with gravity9, can help you achieve the potential offered by gen AI while assuring a solid design and removing implementation risk. You’ll learn: The capabilities and limitations of gen AI and large language models. How retrieval-augmented generation (RAG) works and its role in gen AI apps. How to evaluate and optimize RAG solutions. The role of MongoDB Atlas Vector Search, its features and benefits. How other companies are applying gen AI You’ll also see a live demonstration of building advanced generative AI apps with gravity9 and MongoDB Atlas Vector Search. Speakers: Loghman Zadeh, gravity9 AI Director Richmond Alake, MongoDB Staff Developer Advocate, AI/ML Eric Allen, gravity9 Partner Webinar Details: Date : November 14, 2024 at 12:00 ET Secure your spot and embark on a journey to supercharge your AI applications. Register now

Save your seat →

Power-Up Your Queries: MongoDB's Aggregation Framework

In this webinar, we'll show you how MongoDB's aggregation framework allows you to write simple, and then increasingly complex, queries and aggregations against your datasets, helping you group, join, limit, skip, and bucket across documents in your collections. We'll introduce some of the ideas around data modeling patterns and indexing that will help you get the most out of storing and querying your data in MongoDB, and you'll learn powerful tools for writing and testing your queries. If you're already working with MongoDB, and are familiar with the document model, CRUD and query operations, and you're looking to build more complex queries to aggregate and analyze data, then this is the perfect webinar for you. We’ll be exploring these topics through various languages. Pick the one that suits you best: Python: 11 A.M. ET on Wednesday, October 16, 2024 Java: 11 A.M. ET on Wednesday, November 20, 2024 JavaScript: 11 A.M. ET on Wednesday, January 22, 2025 C#/.NET: 11 A.M. ET on Wednesday, February 19, 2025 Don’t miss this opportunity to power-up your queries and get your questions answered. We look forward to seeing you there! Dates are subject to change

Watch webinar →

Intro to Atlas Search

Atlas Search combines the power of Apache Lucene — the technology behind the world’s most popular search engines — with the efficiency, scale, and resilience of MongoDB Atlas to make it easier than ever to integrate fast, relevance-based search capabilities into all of your MongoDB applications. Join us for our Intro to Atlas Search where we’ll show you how to search through different data types, including text, numbers, dates, and geoJSON and demonstrate a variety of search capabilities. Choose from any of the following dates: 11 A.M. ET on Wednesday, October 23, 2024 10 A.M. GMT on Thursday, November 7, 2024 11 A.M. ET on Wednesday, December 4, 2024 11 A.M. ET on Wednesday, January 29, 2025 11 A.M. ET on Wednesday, February 26, 2025 Don’t miss this opportunity to learn about Atlas Search and get your questions answered live. We look forward to seeing you there! Dates are subject to change

Watch webinar →