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.
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.
Course Overview Hi everyone. My name is Emilio Melo, and welcome to my course, Extracting and Transforming Data in SSIS. I am a cloud solutions architect at Cloud Advantage with focus on data and AI technologies. Data engineering is in the backbone of analytics, machine learning, and business intelligence processes, and SSIS is the main Microsoft on-premises tool for such tasks. In this course, we're going to cover how to utilize SSIS for ETL extractions from load operations. Some of the major topics that we're going to cover include how to install and configure the development environment for SSIS, how to design debug and execute packages, how to manage SSIS execution with the control flow, and how to transform and route data with the data flow operations. By the end of this course, you'll know how to create your own ETL packages with SSIS. Before beginning this course, you should have some basic familiarity with relational databases and SQL scripting. From here, you should feel comfortable diving into other BI topics, such as data warehousing or reporting. I hope you'll join me on this journey to learn SSIS with Extracting and Transforming data in SSIS course at Pluralsight.