Are you curious how new capabilities in SQL Server will impact your applications? Download and test SQL Server 2017 Developer Edition, a full-featured free edition, licensed for use as a development and test database in a non-production environment.
In this post, we will explore how to use automated machine learning (AutoML) to create new machine learning models over your data in SQL Server 2019 big data clusters.
With the first public preview of SQL Server 2019, we announced support for the widely used UTF-8 character encoding as an import or export encoding, and as database-level or column-level collation for string data.
SQL Server 2019 preview brings encryption technology to a broader set of scenarios by enabling rich confidential computing capabilities with the enhanced Always Encrypted feature, Always Encrypted with secure enclaves.
In September we announced SQL Server 2019 preview, the first release of SQL Server to create a unified data platform by packaging Apache SparkTM and Hadoop Distributed File System (HDFS) together with SQL Server as a single, integrated solution.
Starting with SQL Server 2017, Microsoft embarked on a journey to support SQL Server deployments on Linux and containers, in order to provide a choice of deployment platform for our customers and partners.