Resources

Atlas 201 eWorkshop - English

Power-Up Your Queries: MongoDB's Aggregation Framework in C#/.NET

In this webinar, Developer Advocate Luce Carter will show you how MongoDB's aggregation framework in Python 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.

Maximizing AI's potential for engineering teams in 2024

Learn how to leverage AI to boost productivity, streamline development, and solve real engineering challenges. Cut through the hype as we’ll focus on practical AI use cases that are working right now. Engineering leaders are constantly looking for ways to improve efficiency and drive innovation. In this webinar, we brought together product and engineering experts from MongoDB and Retool to show you how AI can transform your development speed and enable your team to deliver better applications faster. We discussed: Where AI shines in assistive development How to integrate AI into your existing workflows and spot challenges Tips for deciding between build vs. buy for AI tools Watch this webinar on-demand to get actionable strategies for leveraging AI to solve real engineering problems and stay ahead in the rapidly evolving tech landscape.

The State of AI Readiness: Results from the Latest TDWI Research

This is an exciting time for AI. Organizations are looking to advanced analytics technologies such as machine learning (ML) to help them gain insights, build applications, become more competitive, and digitally transform. AI technologies are being used across a wide variety of use cases, including churn analysis, fraud analysis, situational analysis, preventive maintenance, and improved customer understanding. Generative AI is transforming the landscape and providing other opportunities for companies. Although organizations are excited about AI, are they ready for it? Hear from TDWI’s Fern Halper, MongoDB’s Steve Dalby, and experts from Pecan AI and SAP as they discuss TDWI’s most recent assessment on AI readiness. Discussion topics will include: How ready are organizations for AI? What is the level of organizational commitment to AI in today’s business world? How ready is respondents’ data infrastructure for AI? What roles and responsibilities do organizations need to put in place for AI readiness? How should organizations address ethical concerns—such as data privacy, data ethics, and data bias mitigation—to be ready for AI?

Intelligent App Modernization with MDB Atlas & AWS

In the rapidly evolving world of technology, modernizing applications to meet current and future demands is crucial. In this insightful webinar, "Intelligent Application Modernization with MongoDB Atlas and AWS," we delved into the strategic advantages and practical steps for migrating your applications to MongoDB Atlas on AWS. Igor Alekseev, Partner Solutions Architect at AWS and Abhi Chakraborty, Senior Partner Solutions Architect at MongoDB discussed: Why migrate to MongoDB Atlas on AWS How to plan migration projects The relational Migrator Amazon Q Developer This webinar ended with 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.

Expanding LLM Applications: From RAG to Agentic Systems

In this comprehensive session, Staff Developer Advocate Richmond Alake explores the evolution of LLM applications, starting with RAG and progressing to developing sophisticated AI agents that leverage RAG as tools. Whether you're an experienced developer or just starting your journey in AI, this webinar offers valuable insights and practical skills to enhance your capabilities. You’ll learn how to: Leverage your foundational knowledge of Retrieval Augmented Generation (RAG) architecture to develop cutting-edge Large Language Model (LLM) applications. Create tools for AI agents that retrieve knowledge from vector databases. Understand the core concepts of Agents and Agentic Systems with MongoDB as the Agent's memory provider. Gain hands-on experience implementing a simple agentic system using popular frameworks and tools.

Atlas 101 eWorkshop (English)

Power-Up Your Queries: MongoDB's Aggregation Framework in JavaScript

In this webinar, Senior Developer Advocate Jesse Hall will show you how MongoDB's aggregation framework in JavaScript 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.

Using HCP Terraform with MongoDB Atlas Vector Search

As AI-powered applications become mainstream, it becomes critical for developer workflows to safely provision applications and supporting infrastructure in production. Semantic search — enabled by MongoDB Atlas Vector Search — is a central element of many of these modern, AI-powered applications. In this webinar, Zuhair Ahmed, Sr. Product Marketing Manager at MongoDB and Kenan Fyfe, Alliances Manager at Hashicorp, discussed integrating Atlas Vector Search with HashiCorp’s Terraform infrastructure-as-code solution. These tools let developers automate and scale their vector search workflows and incorporate sophisticated search capabilities with tools they are accustomed to. In this webinar you'll learn how to: Deploy an Atlas dedicated cluster with Atlas Search Nodes using the HashiCorp Terraform Atlas Provider. Create collections with vector data and add vector search indexes in your Terraform configuration.

Advanced Data Modeling

Take your data modeling expertise to the next level by watching the “Advanced Data Modeling” webinar. In this session, Senior Developer Advocate Stanimira Vlaeva and Developer Advocate Diego Freniche Brito build on the “Intro to Data Modeling” webinar and highlight the critical factors to consider when creating the model that aligns best with your application. You'll learn: How your workload drives your schema Learn about Schema Design anti patterns How to enhance the power of the document model with schema design patterns How to migrate from a relational schema to a document based schema

Advanced Data Modeling

Take your data modeling expertise to the next level by watching the “Advanced Data Modeling” webinar. In this session, Senior Developer Advocate Stanimira Vlaeva and Developer Advocate Diego Freniche Brito build on the “Intro to Data Modeling” webinar and highlight the critical factors to consider when creating the model that aligns best with your application. You'll learn: How your workload drives your schema Learn about Schema Design anti patterns How to enhance the power of the document model with schema design patterns How to migrate from a relational schema to a document based schema

MongoDB & Amazon Web Services (AWS) Fraud Detection Immersion Day (AMER)

Existing fraud detection systems often grapple with a critical limitation – relying on stale data – which limits the ability to access data in real-time to prevent fraudulent activities before they happen. Join MongoDB and AWS for a deep dive on-demand virtual workshop into Fraud Detection using MongoDB Atlas and Amazon SageMaker Canvas to learn how you can proactively identify and combat fraudulent activities, safeguarding systems and protecting customers. By leveraging MongoDB Atlas as an operational data store you are able to accommodate high-volume transactional data with exceptional performance and flexibility. Coupled with Amazon SageMaker Canvas, leverage AI/ML solutions effortlessly with a no-code platform that brings the power of advanced analytics for fraud detection to your fingertips. In this on-demand virtual workshop, you will learn: How to architect, design, build, and deploy applications with MongoDB Atlas in the AWS Marketplace How to identify and prevent fraudulent activities or transactions with a modern data architecture Data analytics and machine learning techniques to identify patterns and anomalies How to monitor transactions in real-time, analyze historical data, and flag any suspicious activity with with MongoDB Atlas and Sagemaker Canvas You will hear from: Abhi Chakraborty: Senior Partner Solutions Architect at MongoDB Igor Alekseev: Data & Analytics Partner Solutions Architect at AWS