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Download now SQL Server in Dev Ops Understand the current challenges of using SQL Server in Linux containers, including integration with Red Hat Open Shift, and how to overcome them.

Download now Example voting application See how you can run SQL Server on Linux with and Python web apps all in a Docker container.

This five-day instructor-led course teaches students how to use the enhancements and new features that have been added to SQL Server and the Microsoft data platform since the release of SQL Server 2008.

After completing this course, students will be able to: • Describe key capabilities and components of SQL Server 2016 • Describe new and enhanced features in SQL Server performance • Describes new and enhanced features in SQL Server security • Describe what’s new in SQL Server Availability and Scalability • Describe new and enhanced features in reporting and Power BI in SQL Server 2016 • Describe new and enhanced data access features • Describe new and enhanced features in SQL Server OLAP • Describe new SQL Server cloud functionality In addition to their professional experience, students who attend this training should already have the following technical knowledge: • Experience of building and managing database, data warehouse, and business intelligence (BI) solutions with SQL Server 2014.

• Familiarity with the Windows Server 2012 R2 operating system and networking.

There’s no need for any setup or installation, because we provide a virtual environment and step-by-step instructions.

Explore all SQL Server virtual labs Start the SQL Server for Linux Administrators virtual lab Start the SQL Server on Linux for SQL Server Administrators lab Check out training videos, demos, and presentations to help you better understand the key improvements in SQL Server 2016, or build your first app after choosing from a selection of programming languages and operating systems.

The primary audience for this course are existing database professionals with experience of SQL Server 2014 who want to update their skills to SQL Server 2016.

Last modified 19-Dec-2019 09:10