Learning SQL Server 2017
1h 21mBeginner2018-01-09
Authors

Adam Wilbert
Data Visualization Expert
Course details
Microsoft SQL Server can be an intimidating system. In this course, instructor Adam Wilbert provides a quick overview of how SQL Server works—which can go a long way to making you feel more comfortable as you start exploring its powerful capabilities. Adam goes over the most important features of SQL Server 2017, helping to familiarize you with how the server operates. He introduces the main working environment—SQL Server Management Studio—and walks through how to start creating tables and manipulating data.
Learning objectives
Reviewing the different editions of SQL Server
Configuring and starting the server
Touring the SQL Server Management Studio (SSMS) interface
Creating a new database on the server
Creating a data table
Joining tables together with keys
Writing Transact-SQL commands
Learning objectives
Reviewing the different editions of SQL Server
Configuring and starting the server
Touring the SQL Server Management Studio (SSMS) interface
Creating a new database on the server
Creating a data table
Joining tables together with keys
Writing Transact-SQL commands
Skills covered
SQL ServerDatabase AdministrationDatabase ManagementLearningMicrosoft
Concepts
0. Introduction
- 01 - Welcome
- 02 - What you should know
1. Getting Started
- 03 - What is SQL Server
- 04 - Understand the editions of SQL Server
- 05 - Installing SQL Server
2. Working with the Server
- 06 - Configure and start the server
- 07 - Log in to the server
- 08 - Locate SQL Server documentation
3. SQL Server Management Studio (SSMS)
- 09 - Tour the SSMS interface
- 10 - Install a sample database
- 11 - Create a new database on the server
- 12 - Understand SQL data types
- 13 - Create a data table
- 14 - Join tables together with keys
4. Write Transact-SQL Commands
- 15 - Create a SELECT statement
- 16 - Use functions to calculate values
- 17 - Write an UPDATE statement
- 18 - Add data with an INSERT statement
- 19 - Create a view of the data
Conclusion
- 20 - Next steps