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

Now that Fabric unifies open source and long-established Microsoft data technologies into a single SaaS platform, it's time to get up to speed on it and the many data & analytics capabilities it encompasses.

That's what this session is for. We'll begin by covering the basics of OneLake, Apache Parquet and Delta Lake, which are Fabric's central data store technologies. From there, we will branch out into the rigors of Apache Spark, Fabric data pipelines, data lakehouses and data warehouses, and their tie-ins with Power BI. We'll also touch on operational database capabilities, real-time/streaming data, and AI/machine learning.

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

You will learn:

• Basic analytics concepts, including data lakes, columnar storage and dimensional analysis
• How Fabric combines elements of Azure services like Azure Data Lake, Data Factory, Event Hubs, Stream Analytics and Data Explorer, with Power BI and open-source technologies
• How analysts, data engineers and data scientists can collaborate on the same data, using their own toolchains and skillsets