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Data Warehouse ETL Testing & Data Quality Management A-Z (Udemy.com)

ETL Testing and Data Quality Management for beginners with practical exercises and certificate of completion.

Created by: Lorenz D.

Last updated April 2019

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What you will learn

  • Understand the basics of ETL/ELT testing
  • The importance of Data Quality within the Data Lifecycle
  • Learn the different types of ETL/ELT testing and Data Quality dimensions
  • Design a set of frequently used ETL/ELT and Data Quality regression tests
  • A comparison of Data Quality tools (Informatica, Talend, Oracle, SAS)
  • Perform database tests using queries and build database views to automate ETL/ELT testing and Data Quality monitoring
  • Data Quality Management and monitoring
  • Setting up a database connection to your visualization tool
  • Build Data Quality dashboards and reports

How it compares

Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:

  • Rating4.3 out of 5higher than 18% of them
  • Reviews8,863#50 of 849 by number of reviews
  • Length1.9 hoursshorter than 88% of them
  • Last updatedApril 2019earlier than 95% of them

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Course Description

Learn the essentials of ETL Data Warehouse Testing and Data Quality Management through this step-by-step tutorial. This course takes you through the basics of ETL testing, frequently used Data Quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for Data Quality monitoring and build Data Quality visualizations and reports!

..Learn to build data quality dashboards from scratch!

..Learn some of the most common mistakes made when performing ETL/ELT tests..

..Forget about manual ad-hoc ETL testing, learn more about automated ETL and data quality reports

The course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer. Each module also ends with a short quiz and there is a final quiz at the end of the course.

After completion of this course, you will receive a certificate of completion.

Good luck and hope you enjoy the course.

Pre-requisites:

  • Basic knowledge of SQL

  • Some experience with Visualization tools would be helpful, but not required

  • Basic setup of database (PostgreSQL, Oracle) and visualization tool (Qliksense) is recommended

Course content:

The course consists of the following modules:

  • Introduction

  • What is ETL/ELT Testing and Data Quality Management?

  • Build database views for Data Quality Monitoring

  • Build dashboards for Reporting

  • Exercises

  • Final Quiz

Who should follow this course?

  • Students that want to learn the basics of ETL/ELT testing and Data Quality Management

  • Business Analysts and Data Analysts that would like to learn more about ETL/ELT testing, frequently used queries and practical examples

  • Software Engineers that would like to build an automated solution for ETL/ELT testing using database views/dashboards

  • Data Stewards and Managers considering to apply data quality standards within their organization


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Instructor Details

Lorenz D.

Data expert with experience in transforming complex data into actionable insights. My journey in the tech industry has spanned various roles, from data analyst to senior data engineer, working with leading firms to harness the power of data.


My courses are designed to provide practical, hands-on learning experiences, guiding you through the intricacies of data pipelines, ETL processes, and visual storytelling. Whether you're a beginner looking to break into the field or an experienced professional aiming to upskill, my comprehensive, step-by-step tutorials will equip you with the tools and techniques to excel.


Join me on Udemy to unlock the potential of data and take your career to the next level!

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Reviews

4.3

8,863 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Mykola Rublevskiy on 7/11/2026

This is a "Using PostgreSQL and Qlick for Data Quality management: Quick guide" course. Not bad, but was looking for more

By Anonymized User on 5/5/2026

The course exceeded my expectations in every way. The content was well‑structured, easy to understand, and highly relevant. Concepts were explained clearly with practical examples, making it engaging and valuable. Overall, it was a great learning experience and I would definitely recommend it to others.

By Anonymized User on 4/20/2026

It was a good experience when I am learning the concepts of Datawarehouse ETL testing and Data Quality management.

By Hemavathy on 3/5/2026

Yes, understood the ETL concepts, it suits for my role

By CRISTIAN VILLALBA on 1/30/2026

The data that instructor gives doesn't match with CONSISTENCY as he said in one dimension. I think the data given needs an update or a check for nowadays practices.

By Abhinam Joshi on 12/30/2025

Good short and sweet course. Would be better to integrate some from of interactive task like actually writing the query or DQ rules

By Siva Subramanyam Avvaru on 11/9/2025

The training was explained in a clear and detailed manner, making it highly useful for both beginners and experienced individuals. Thank you very much!

By Steven R Turetzky on 10/20/2025

Concepts explained clearly and concisely in a fairly engaging manner.

By Anonymized User on 10/14/2025

Excellent foundation for learning ETL testing concepts! I would say this course can be a good starting point for learning ETL Testing

By Arnold Reyes on 10/13/2025

Queries don't match what is on the lecture & instructor should have taken the time to do a lecture on how to create the tables & import data via csv files.

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Quality Score

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Overall Score : 86 / 100