55317A - Querying Microsoft SQL Server Courseware

55317A is the updated version of the retired legacy Microsoft Official Curriculum (MOC) course 20461.

This 3-day instructor-led course teaches students how to use basic Transact-SQL statements and other languages to query modern editions of Microsoft SQL Server and Azure SQL Server.  New content has been added to help administrators leverage new Machine Learning features in SQL Server. Students will run T-SQL, Python and R queries on SQL Server databases.

This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence.  By using demonstrations and hands-on labs, attendees will learn to perform these tasks using SQL Server, Azure Data Studio, and other SQL Server database tools.

Audience

This course is intended for Database Administrators, Database Developers, and Business Intelligence professionals. Report writers, business analysts, application developers and SQL users who want to familiarize themselves with SQL Server will also benefit from this material.

At Course Completion

After completing this instructor-led course, students will be able to:

• Query, sort and filter data in database tables
• Query external data sources
• Query SQL Server and Azure SQL Server programmatically
• Optimize query performance
• Modify data using Transact-SQL
• Work with XML and JSON formatted data
• Use stored procedures and functions
• Use SQL Server tools like SSMS and Azure Data Studio
• Use Data Virtualization
• Use PolyBase
• Use Azure Synapse Link

 Course Details

• Module 1: Querying data with SQL Server Management Studio
• Module 2: Querying data with Azure Data Studio
• Module 3: Basic Transact-SQL Queries
• Module 4: Advanced Transact-SQL Queries
• Module 5: Optimizing Query Performance
• Module 6: Modifying data with INSERT, UPDATE, DELETE and MERGE
• Module 7: Working with XML and JSON data
• Module 8: Using Stored Procedures and Functions
• Module 9: Query SQL Server programmatically
• Module 10: Managing External Data Sources