Microsoft Fabric weaves together a number of underlying technologies with a unified UI, a single, serverless compute pool, a single, shared copy of all data and compatibility with Microsoft's operational database technologies, including Azure SQL Database, Cosmos DB, and the ever-enduring SQL Server!

And now that Microsoft has combined many of its separate database, analytics and AI services into one, mixing open source and long-established commercial technologies into a single SaaS platform, it's time to get up to speed on Fabric and the many data and AI concepts it encapsulates.

That's what this session is for. We'll start by covering OneLake and data lakehouse concepts. From there, we will branch out into the rigors of Fabric data pipelines, analytics endpoints, data warehouses, and their tie-ins with Power BI. We'll touch on streaming data and AI and we'll finish up by discussing Fabric's planned/future capabilities.

If you've been waiting for databases, analytics, BI and AI to "come to you," you've bargained well, and the now time has come. Get to this session to see what it's all about.

You will learn:

• Basic analytics concepts, including data lakes/lakehouses, columnar storage and dimensional analysis
• How Fabric combines elements of Azure services like Synapse Analytics, Data Factory, Event Hubs, Stream Analytics, Data Explorer and OpenAI with Power BI and open source technologies, and makes them all easier to use
• How analysts, data engineers, data scientists, and AI engineers can collaborate on the same data, using their own toolchains and skillsets