Extracting and Transforming Data in SSIS
Data engineering is in the backbone of advanced analytics, business intelligence, and machine learning activities, and is also one of the most exciting and rewarding professions in the IT industry today.
SSIS is the main SQL Server tool for achieving ETL (Extract, Transform, and Load) goals, whether you are:
- Building a data warehouse
- Ransforming unstructured or semi-structured files into valuable insights, or
- Loading massive amounts of information for data sciences operations
In this SSIS tutorial, Extracting and Transforming Data in SSIS, you’ll learn how to use SSIS to create and execute ETL Packages.
First, you’ll discover how to use conditional logic and loops to control your data flow.
Next, you’ll delve into integrating data from sources other than databases. Then, you’ll explore additional processes, scripts, and packages to expand your ETL capabilities beyond SSIS.
Finally, you’ll learn how to transform data using Data Flow operations, and pipe data by Split, Merge, and Union operations.
By the end of this tutorial, you’ll be able to use SSIS to execute fundamental ETL processes.