When building enterprise-grade apps, your database must deliver massive scale and rapid, relevant search. Azure Cosmos DB provides reliable data storage, vector search, and full-text indexing. Explore new capabilities designed to simplify development and enhance AI and search performance. Learn from Azure Cosmos DB engineering team and Veeam on how to optimize any-scale scenarios for efficient and fast search.

Confidently adopt AI and manage your AI apps, agents, and platforms. From assistive copilots to autonomous digital workers, gain visibility and control to prevent data oversharing, manage sprawl, defend against threats, and ensure compliance.

See how Cosmos DB in Fabric makes it easy to power AI-driven applications at scale. In this session, you’ll learn how to process customer data with Real-Time Intelligence, use Apache Spark to train ML-based recommendation engines, and combine vector search with Cosmos DB to deliver high-performance, personalized experiences. We’ll also cover collaborative filtering algorithms, blue-green deployments, User data functions, and Notebooks to build, test, and ship AI-enabled apps in real time.

Learn practical strategies from Sam’s Club for modernizing mission-critical apps to Azure. Dive into technical strategies, get hands-on guidance to implement key resilience patterns and how to operationalize them in Azure Kubernetes Service (AKS), Azure SQL, Cosmos DB, and other critical Azure services. By the end of this session, developers and cloud practitioners will walk away with tools to modernize legacy monolithic apps for resilience, performance, and scale in Azure.

Isolating tenants, managing costs, and ensuring reliability are core challenges for any multi-tenant SaaS app. This session provides a blueprint on Azure using real world examples. We'll dive deep into the data tier, contrasting Azure Cosmos DB’s DB-per-tenant pooling model against the partition-key-per-tenant strategy to find your ideal balance of cost and isolation. Learn how these choices impact your TCO and security posture and manage tenants with design patterns like deployment stamps.

This session is repeated.In this session, you will learn how to integrate Lakeflow Declarative Pipelines with external systems in order to ingest and send data virtually anywhere. Lakeflow Declarative Pipelines is most often used in ingestion and ETL into the Lakehouse. New Lakeflow Declarative Pipelines capabilities like the Lakeflow Declarative Pipelines Sinks API and added support for Python Data Source and ForEachBatch have opened up Lakeflow Declarative Pipelines to support almost any integration. This includes popular Apache Spark™ integrations like JDBC, Kafka, External and managed Delta tables, Azure CosmosDB, MongoDB and more.

The use of multiple Large Language Models (LLMs) working together perform complex tasks, known as multi-agent systems, has gained significant traction. While orchestration frameworks like LangGraph and Semantic Kernel can streamline orchestration and coordination among agents, developing large-scale, production-grade systems can bring a host of data challenges. Issues such as supporting multi-tenancy, preserving transactional integrity and state, and managing reliable asynchronous function calls while scaling efficiently can be difficult to navigate.

Leveraging insights from practical experiences in the Azure Cosmos DB engineering team, this talk will guide you through key considerations and best practices for storing, managing, and leveraging data in multi-agent applications at any scale. You’ll learn how to understand core multi-agent concepts and architectures, manage statefulness and conversation histories, personalize agents through retrieval-augmented generation (RAG), and effectively integrate APIs and function calls.

Aimed at developers, architects, and data scientists at all skill levels, this session will show you how to take your multi-agent systems from the lab to full-scale production deployments, ready to solve real-world problems. We’ll also walk through code implementations that can be quickly and easily put into practice, all in Python.

Microsoft is making significant investments in relational and NoSQL open-source databases. Learn about Azure Database for PostgreSQL, Azure Database for MySQL, Azure Cosmos DB for MongoDB, with new enterprise-ready features to support daily business operations. See new migration capabilities as well as Microsoft's new contributions to the open-source community, including DiskANN, a PostgreSQL extension for Azure OpenAI Service, and much more.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Aditi Gupta * AVIJIT GUPTA * Dingding Lu * Prasanth Tammiraju

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK207 | English (US) | Data

MSIgnite

Are you ready to build high-performance, cost-efficient apps? Join us to master Azure Cosmos DB! This session covers serverless vs. autoscale options, data modeling, query optimization, and advanced features for top performance. Learn how to quickly build apps that can easily grow to planetary scale with data partitioning and fine-tuning strategies. Join us to hear about best practices and insider tips to design cloud-native apps with unmatched performance, scalability, and cost savings!

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Estefani Arroyo * Tara Bhatia

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK194 | English (US) | Data

MSIgnite

In this session, we’ll explore advanced strategies for scalable serverless RAG applications using Azure Cosmos DB and DiskANN. Topics include architecture simplification, data synchronization, scalability challenges, and multi-tenancy. We’ll discuss the latest developments in vector search, full-text search, and hybrid search in Azure Cosmos DB, showcasing real-world use cases from our customers like EY. Learn how to get started easily with LangChain and Semantic Kernel.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Bhaskar Bhatt * James Codella * Zhe Li

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK193 | English (US) | Data

MSIgnite

Discover the power of GenAI in Toyota’s powertrain development. Learn how Toyota improves information collection, enhances decision-making, and boosts productivity for powertrain engineers with a multi-agent system built with Azure AI Foundry and Azure Cosmos DB. Join us to get a glimpse into the future of agent technology and data management with Azure, and hear from Toyota first-hand how they are using AI to innovate vehicle design.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Mark Brown * Marco Casalaina * Kosuke Miyasaka * Kenji Onishi

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK117 | English (US) | AI

MSIgnite

From Chat GPT to the NBA to Mercedes-Benz, Azure Cosmos DB is enabling intelligent apps that change the way we live and work. Join us to learn from KPMG about how they built a generative AI-based assistant, and Bond Brand Loyalty on how they scale data to meet global customer demand, with Azure Cosmos DB. We'll explore capabilities like vector search and how to implement RAG pattern, along with improved elasticity, and greater scale.

To learn more, please check out these resources: * https://aka.ms/Ignite23CollectionsBRK226H * https://info.microsoft.com/ww-landing-contact-me-for-events-m365-in-person-events.html?LCID=en-us&ls=407628-contactme-formfill * https://aka.ms/azure-ignite2023-dataaiblog

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * James Codella * Kirill Gavrylyuk * Maria Pallante * Mark Brown * Robert Finlayson * Anitha Adusumilli * Estefani Arroyo * Andrew Liu * Marko Hotti * Rodrigo Souza * Jason Fogaty

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This video is one of many sessions delivered for the Microsoft Ignite 2023 event. View sessions on-demand and learn more about Microsoft Ignite at https://ignite.microsoft.com

BRK226HG | English (US) | Data

MSIgnite

Connect an existing ASP.NET Core Blazor web application to Azure Cosmos DB for NoSQL and Azure OpenAI using their .NET SDKs. Your code manages and queries items in an API for NoSQL container. Your code also sends prompts to Azure OpenAI and parses the responses. This LIVE session is presented by two experts, and our moderators will answer your questions directly in the chat.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * B Jb * Julia Muiruri * Tim Fish * Akah Mandela Munab * DMITRII SOLOVEV * Jay Gordon * Julian Sharp * Konstantin Berezovsky * DE Producer 9 * Olivia Guzzardo

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This video is one of many sessions delivered for the Microsoft Ignite 2023 event. View sessions on-demand and learn more about Microsoft Ignite at https://ignite.microsoft.com

BRK404LL | English (US) | Data

MSIgnite

We designed a scalable Spark Streaming job to manage 100s of millions of prescription-related operations per day at an end-to-end SLA of a few minutes and a lookup time of one second using CosmosDB.

In this session, we will share not only the architecture, but the challenges and solutions to using the Spark Cosmos connector at scale. We will discuss usages of the Aggregator API, custom implementations of the CosmosDB connector, and the major roadblocks we encountered with the solutions we engineered. In addition, we collaborated closely with Cosmos development team at Microsoft and will share the new features which resulted. If you ever plan to use Spark with Cosmos, you won't want to miss these gotchas!

Talk by: Daniel Zafar

Here’s more to explore: Big Book of Data Engineering: 2nd Edition: https://dbricks.co/3XpPgNV The Data Team's Guide to the Databricks Lakehouse Platform: https://dbricks.co/46nuDpI

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Unlock the next level of performance and scalability with Azure Databases—engineered for speed, reliability, and seamless integration across your stack. At Ignite, Shireesh Thota, CVP of Azure Databases, will unveil breakthrough features and releases for Azure Databases, SQL Server 2025, and Fabric Databases for SQL and Cosmos DB. Get an inside look at how these advancements empower you to build and deploy cutting-edge applications and AI agents—faster, smarter, and at enterprise scale.