ETL Testing Course Overview

Target Audience for ETL Testing

The ETL Testing course offers comprehensive knowledge on data validation and troubleshooting within data warehousing, vital for IT professionals in database-related roles.

• Data Analysts
• Quality Assurance Professionals
• ETL Developers
• BI Specialists
• Database Administrators
• Software Testers
• Data Warehouse Professionals
• Project Managers (with a focus on data projects)
• IT Graduates aspiring to specialize in data warehousing
• Technical Consultants involved in data management projects
• System Analysts
• Data Scientists who require understanding of ETL processes

Learning Objectives - What you will Learn in this ETL Testing?

Course Introduction:

Gain proficiency in ETL testing and ensure data integrity in business intelligence systems. Learn to differentiate between databases, understand ETL scenarios, and validate data quality through hands-on SQL techniques and testing strategies.

Learning Objectives and Outcomes:

• Understand the fundamentals of ETL testing and the lifecycle of the ETL process in a business intelligence context.
• Grasp key database concepts with an introduction to RDBMS and relational database structures.
• Differentiate between OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems, and comprehend their roles in data warehousing.
• Identify the nuances between database testing and data warehousing testing, including integrity constraints and their importance.
• Explore various ETL testing scenarios, including ETL mapping and data warehouse workflow, to effectively manage data warehouse testing.
• Learn how to test for data mismatches and data loss, ensuring the accuracy and integrity of the Data Migration process.
• Master the testing of data correctness, completeness, quality, and structure through structure validation and constraint validation techniques.
• Utilize SQL for data checks, learning to navigate database structures and execute SQL scripts for data validation purposes.
• Develop skills in negative testing and understand its role in verifying system robustness and error handling capabilities.
• Conduct comprehensive reports and cube testing within the scope of Business Intelligence testing, ensuring the reliability of BI reports and data visualizations.