Extracting and Transforming Data in SSIS

by Emilio Melo

SSIS is the main on-premises ETL (Extract, Transform, and Load) tool from Microsoft, and it's heavily utilized for data engineering on SQL Server. In this course, you'll learn how to install and configure SSIS, and develop ETL packages with it.

What you'll learn

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.

Table of contents

Course Overview
1min

About the author

With over 20 years of experience on Microsoft infrastructure, data and collaboration software, Emilio Melo has a newly found passion and enthusiasm for the incredible potential of the cloud.

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