The primary audience for this course is existing database professionals with experience of database systems running on Linux.The secondary audience is Linux professionals who are interested in adding database capabilities.
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In addition to their professional experience, students who attend this training should already have the following technical knowledge:
After completing this course, students will be able to:
This two-day instructor led training course is aimed at database professionals looking to implement SQL Server on Linux
Describe key capabilities and components of SQL Server on Linux.
Lessons
After completing this module, students will be able to:
This module examines deploying SQL Server to a number of common Linux instances.
When you install the SQL Server on Linux with the mssql-server package, only the core database engine is installed. Additional components, such as SQL Server Agent, Full-Text Search and SQL Server Integration Services must be installed from separate packages. This module covers the installation process for these additional components.
Once a Microsoft SQL Server on Linux instance is installed, you must configure it. Since SQL Server on Linux does not include a Linux-native GUI tool for configuring SQL Server settings, you must use command-line tools and options to configure aspects of the SQL Server behavior. This module covers configuring SQL Server on Linux and SQL Server on Linux Docker containers.
Once you have installed and configured Microsoft SQL Server on Linux, you need to know how to connect to your SQL Server on Linux instance, both to manage SQL Server and to connect your applications to SQL Server. In this module, you will learn about several ways that developers and administrators can connect to SQL Server instances running on Linux..
Once you are familiar with the basic operation of Microsoft SQL Server on Linux, you are likely to need to import data. The data you import might take the form of whole databases that you are migrating to SQL Server on Linux from SQL Server on Windows, or from another RDBMS. You might also need to import data to or export data from individual tables or groups of tables in your databases. This module introduces various techniques for moving data and databases to and from SQL Server on Linux.
SQL Server on Linux can power mission-critical database systems with high-availability technologies at several different granularities. Log shipping provides high availability for single databases. Failover clustering provides automatic failover and redundancy for SQL Server instances. Availability groups provide high availability, disaster recovery, and read load balancing for groups of databases. This module covers configuring these technologies for SQL Server on Linux.
