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What's new in SQL Server 2017

Ready for the Future

Article from ADMIN 45/2018
By
Microsoft SQL Server 2017 introduces SQL Server on Linux, along with machine learning services, support for graph data, and on-premises Power BI.

Microsoft SQL Server 2017 has been available since October. The new version opens a new chapter in the history of the database server in several respects. Microsoft is looking to make its relational database fit for the Internet of Things (IoT), big data, and machine learning, and when it comes to performance, SQL Server now acts much more intelligently.

Much like other Microsoft server products, SQL Server development is strongly driven by the Azure Cloud, big data, and IoT. The SQL Server landscape is now identical to version 2016: Enterprise, Standard, and Express. Hardware limitations and supported features, as they existed in 2016, remain the same.

SQL Server on Linux

SQL Server on Linux has become a reality with SQL Server 2017. It is currently supported on Red Hat Enterprise Linux (RHEL) 7.3 and 7.4 (see also the "Migration Discount" box), SUSE Linux Enterprise Server v12 SP2, and Ubuntu 16.04. As expected, the RPM package for RHEL can also be installed and executed on CentOS 7 without problems (Figure 1). You will not find the installation packages for Linux on the SQL Server image; you must download them. The easiest way to do this is to include the corresponding Microsoft repositories, as described online (Figure 2) [2]. The size of the download is 150 to 200MB, and after calling a configuration script, your SQL instance is ready for use.

Migration Discount

With the release of SQL Server 2017, Microsoft and Red Hat launched a joint discount campaign for migrating users that runs until June 30, 2018 [1]. You can save 30 percent on the cost of both

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