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.
Learn in 75 Minutes what Batch Execution Mode is, when & how it will affect your workloads (in upcoming SQL Server 2019 & Azure SQLDB) on the traditional Rowstore Indexes.
SQL Server 2019 includes new query processing features such as batch mode on rowstore, memory grant feedback, approximate query processing, and more. How do these work? Are they as good as Microsoft wants us to believe?
Come learn all the new capabilities of SQL Server 2019 directly from the Microsoft engineering team. This session will provide the strategy behind SQL Server 2019 as well as a deep dive into all the new features and how they can help you modernize your data estate with SQL Server.
SQL Server 2019 expands on the Polybase feature from SQL Server 2019 by providing a robust data virtualization solution to reduce the need for ETL and data movement. Come learn how new data connectors work with sources like Oracle, MongoDB, CosmosDB, Terradata, and HDFS.
We are now giving you the opportunity to securely execute Java code in SQL Server using the new 3rd party extensibility framework. Come to this session to learn how you can execute Java code in SQL Server on both Windows and Linux. This sessions will also cover the 3rd party extensibility architecture we are launching soon, which will enable the SQL Server community to build their own language extensions!
In this session, you'll learn about the various prebuilt AI/ML models that are available for your consumption through Microsoft's Cognitive Services. Additionally, you'll see examples of how these prebuilt services can be leveraged with SQL Server 2019.
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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