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An overview of SQL Server 2019 for the busy DBA / developer Randolph West
This session will take a look at better Unicode support, query processing improvements for row store tables, secure enclaves, and other neat things you'll find useful as a modern database administrator or developer.
Azure Data Factory v2 with Data Flows capabilities Kamil Nowinski
We will review this new feature of ADFv2, do deep dive to understand the mentioned techniques, compare them to SSIS and/or T-SQL and learn how modelled data flow runs Scala behind the scenes.
Microsoft Power BI Premium: Building enterprise-grade models Kasper de Jonge
Power BI Premium enables you to build comprehensive, enterprise-scale analytic solutions that deliver actionable insights through Microsoft Power BI. The session will focus on performance, scalability, and application lifecycle management (ALM).
Partitioning Party James C Yarrow
Database Partitioning has been around for a while but is always being updated and enhanced. In today big data volume world, we to think how we are going to support these large tables.
Power BI & Azure Data Services - Better Together Christian Wade
Come to this session to learn how to enable collaboration and solution design for business users and IT specialists to build solutions that enable an origanization to harness the power of their big data.  This session will enable you to collaborate across business and IT, and how we can extend intelligence beyond Power BI into Azure Data Services. Once Power BI has landed in an organization, attaching and extending into Azure can be achieved using common use cases and modernization plays.
SQL 2019 Big Data Architecture Overview Buck Woody
In this session Buck Woody explains how Microsoft has implemented the SQL Server 2019 relational database engine in a big data cluster leverages an elastically scalable storage layer that integrates SQL Server and HDFS to scale to petabytes of data storage. You’ll see the three ways you can interact with massive amounts of data: Data Virtualization, Data Marts, and working with a complete Kubernetes Cluster in SQL Server. You’ll also learn common use case scenarios that leverage big data and the SQL server 2019 Big Data Cluster on-premises, in the cloud, and in a hybrid architecture.
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