Join us on April 20-21, 2021 for the very first Azure Cosmos DB Conf. Azure Cosmos DB Conf is a free online virtual developer event organized in collaboration with the Azure Cosmos DB community, and sessions will be delivered by community members and Microsoft The event will be streamed in three, 3-hour live segments with unique content in each

This live session starts at

4/20 9:00AM (Seattle)
20-4 17:00-20:00 (London)
20-4 21:30-00:30 (Mumbai)
21-4 02:00-04:00 (Sydney)

4/20/2021 at 9:30 PM (IST)
Session: Azure Cosmos DB Conf - Keynote
Join Director of Product Management for Azure Cosmos DB, Kirill Gavrylyuk to kick off Azure Cosmos DB Conf.
Speaker: Kirill Gavrylyuk

4/20/2021 at 10:30 PM (IST)

Session:Online and Real-Time Database Migration to Azure Cosmos DB with Striim

There is significant demand for moving and continuous data integration as workloads shift to the cloud. Modernizing databases by offloading workloads to cloud requires building real-time data pipelines from legacy systems. The Striim® platform is an enterprise-grade cloud data integration solution that continuously ingests, processes, and delivers high volumes of streaming data from diverse sources, on-premises or in the cloud. Cloud architects, data architects, and data engineers can use Striim to move data into Azure Cosmos DB in a consumable form, quickly and with sub-second latency to easily run critical transactional and analytical workloads in Microsoft Azure. We will provide a live demo showing how Striim is used to migrate enterprise databases to Azure continuously and in real time with no downtime. In this session you will learn how to: Prepare Azure Cosmos DB for data integration with automatic target schema and tables creation that reflects the source database Set up in-flight transformations right in the GUI to minimize end-to-end latency enable real-time analytics & operational reporting Deploy zero-downtime migrations to Azure Cosmos DB from existing enterprise databases anywhere Increase IT productivity and reduce cost of ownership by integrating and enriching data from multiple sources

Speakers: Andrew Liu & Alok Pareek

4/20/2021 at 11:00 PM (IST)

Session: Data and Different System Architectures to Build a Truly Unified View

Digital components enterprises need to develop a 360-degree view of their customers and the capabilities and limitations inherent in the technologies available to help them do that. In this session, Sandeep Nawathe will cover a new approach — one that unifies disparate data sources and system architectures to develop a Unified Profile that is actionable in real-time.

Speaker: Sandeep Nawathe

4/20/2021 at 11:30 PM (IST)

Session: Bridge to Azure: Streaming data into Cosmos DB with Confluent

Confluent enables large scale, big data pipelines that automate real-time data movement across any systems, applications, and architectures at massive scale. Empowering organizations to aggregate, transform, and move data from on-premises legacy services, private clouds, or public clouds and into Azure. Confluent and Microsoft’s Commercial Software Engineering group have worked together to build a self-managed connector. The Azure Cosmos DB Connector provides a new integration capability between Azure Cosmos DB and Confluent Platform. Microsoft provides enterprise support for the Azure Cosmos DB Connector. Want to know more about your options for Bridge to Cloud with Confluent? During this session, you will learn more about: -Getting started with Confluent on Azure -Design patterns for Bridge to Cloud with Confluent -Quickly install the Azure Blob Storage Connector without having to spin up additional infrastructure -Tips and tricks for installing and configuring the Cosmos DB Self Managed Connector

Speaker: Alicia Moniz

4/21/2021 at 12:00 AM (IST)

Session: Data Modeling and Partitioning in Azure Cosmos DB

For many newcomers to Cosmos DB, the learning process starts with data modeling and partitioning. How should you structure your model? When should you combine multiple entity types in a single container? Should you de-normalize your entities? What’s the best partition key for your data? In this session, we discuss the key strategies for modeling and partitioning data effectively in Cosmos DB. Using a real-world NoSQL example based on the AdventureWorks relational database, we explore key Cosmos DB concepts—request units (RUs), partitioning, and data modeling—and how their understanding guides the path to a data model that yields the best performance and scalability. Attend this session, and acquire the critical skills you’ll need to design the optimal database for Cosmos DB.

Speaker: Leonard Lobel

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