Training in SQL Server Integration Services


This course will enable delegates to master SQL Server Integration Services. Delegates also will be able to import and export data using a variety of formats, including Excel spreadsheets and CSV files. The course will cover using the SSIS designer to copy and transforms data.


SQL Server

1 Day


This course is designed for those who are responsible for integrating and migration data using SQL Server and other data stores.


An understanding of basic relational database concepts, including:

  • Logical and physical database design
  • Relationships between tables and columns (primary key and foreign key, one-to-one, one-to-many, many-to-many)
  • How data is stored in tables (rows and columns)

4 Top Takeaways from the Course

  1. Make your existing data work harder for you
  2. Integrate diverse data stores to a single repository
  3. Merge data from multiple sources
  4. Manage data from inside and outside your organisation

Module 1: Introduction to SQL Server Integration Services – SSIS

  • What Is SSIS?
  • When to Use SSIS?
  • SSIS Server Architecture
  • Integration Services Scenarios
  • Integration Services Developer Tools
  • Using Import & Export Wizard to create package
  • Control Flow and DataFlow Design Surfaces
  • Adding Tasks to a Package
  • Creating Data flow Tasks; including Connection Managers with Data Sources and Destinations
  • Migrating data across Excel, Flat Files, XML and database providers
  • Data Transformations: including Conditionally Splitting Columns

Module 2: SSIS Going Further

  • Building a Package
  • Troubleshooting a Package
  • Deploying a Package to the SSIS Server
  • Scheduling a Package with SQL Server Agent
  • Securing a Package in Management Studio
  • using Variables, Event Handlers and Configurations


  • Use Import & Export Wizard to copy data between databases. Use the wizard to export selected tables to a new database you create on the same server.
  • Transfer data from a CSV file into a table in SQL Server. Create a simple data flow that transfers data from a CSV file into a table in SQL Server.
  • Use the Control Flow to integrate with an external process. A common technique for integrating a system like SSIS into an external orchestration process is through the use of semaphore files.
  • Enhance the data flow by splitting the rows read from the CSV file into two streams. One of these streams continues to be loaded into the original table, but the second is loaded into a different table.


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