In this video, you will get to experience bringing SQL and Spark together as a unified data platform running on Kubernetes and learn how:

• Data virtualization integrates data from disparate sources, locations and formats, without replicating or moving the data, to create a single "virtual" data layer

• Data Lake - SQL 2019 provides SQL and Spark query capabilities over a scalable storage, across relational and big data

• Data Mart provides an ability to scale out storage for super-fast performance over big data or data from other external sources 

Announcing SQL Server 2019 community technology preview 2.2 

SQL Server 2019 on Linux with a Docker container on Ubuntu 

Drawbacks of Stored Procedures 

Overview of SQL Server 2019 Features 

Compare SQL Server, MySQL and PostgreSQL Features 

Features and performance

Sql server 2019 will help us by making data integration, Management and intelligence easier and more intuitive than ever earlier.

Major Key points

New platform and feature support

• Support for SQL 2019
• Support for Azure SQL Managed Instance
• Azure SQL Database support
  • SLO/Edition
  • Support for updated Azure SQL SKUs
• Support for Always Encrypted with secure enclaves
• UTF-8 support on collation dialog