SQL Server Integration Services

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Free Online Course: SQL Server Integration Services provided by LinkedIn Learning is a comprehensive online course, which lasts for 2-3 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. SQL Server Integration Services is taught by Adam Wilbert.

Overview
  • Learn how to extract, transform, and load data (and create ETL packages) with SQL Server Integration Services, one of the core add-on components to SQL Server.

Syllabus
  • Introduction

    • Integrate your data with SQL Server Integration Services (SSIS)
    • What you should know
    • Set up the example database
    1. Get Started with Integration Services
    • What is SSIS?
    • Add SSIS to a SQL Server instance
    • Connect to the SSIS catalog database
    • Explore SSIS packages
    2. SSIS Designer
    • Install SQL Server Data Tools (SSDT)
    • View SSIS solutions and projects
    • Define control flow tasks
    • Create a precedence constraint
    • Create a sequence container
    • Run a package
    3. Control Flow Tasks
    • Understanding tasks in control flow
    • The Data Flow task
    • The File System tasks
    • Modify file attributes
    • The Execute Package task
    • The Send Mail task
    • SQL Server tasks
    • Maintenance tasks
    4. Data Sources and Connections
    • Project level connections
    • Convert package connections
    • The Excel connection manager
    • Connect to flat file data sources
    • Additional connection managers
    5. The Data Flow Task and Transformations
    • Data flow components
    • Extracting data from a source
    • Understand transformations
    • Character Map row transformation
    • Conditional Split transformation
    • Rowset transformations
    • Loading data to a destination
    • Prevent duplicate records
    6. Controlling Package Execution
    • Work with variables and scope
    • Add execution parameters
    • Change a variable’s value
    • Group tasks in looping containers
    • Event handlers
    • Error handling in data flows
    7. Deploy and Run SSIS Projects
    • Deploy projects to SQL Server
    • Run packages with T-SQL
    • Schedule packages with SQL Server Agent
    Conclusion
    • Next steps