In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

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.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

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