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Data Warehouse ETL Testing & Data Quality Management A-Z

Data Warehouse ETL Testing & Data Quality Management A-Z


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.

Overview

About this Course
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.

Good luck and hope you enjoy the course.

Basic knowledge
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 Information

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

What you will learn
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

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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Course Specifications

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Course duration is 24 hours.

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