ETL testing

Index:

• Introduction to ETL:

• Understanding the ETL process flow and its significance in data warehousing.
• Overview of ETL architecture and components.

• ETL Testing Fundamentals:

• Types of data used in ETL processes (structured, semi-structured, unstructured).
• Challenges and considerations in ETL testing.

• ETL Testing Techniques:

• Data Completeness Testing: Ensuring all expected data is loaded into the target system.
• Data Accuracy Testing: Verifying that data transformations are correct and accurate.
• Data Integrity Testing: Checking data consistency and referential integrity.
• Data Transformation Testing: Validating business rules and transformations applied to data.
• Performance Testing: Assessing ETL process performance and scalability.
• Regression Testing: Ensuring that changes or updates do not introduce unintended impacts.

• Tools and Automation:

• Overview of ETL testing tools (e.g., Informatica Data Validation Option, QuerySurge, Talend Data Quality, etc.).
• Automation of ETL testing processes and benefits.

• Test Case Design and Execution:

• Designing test cases for different aspects of ETL processes.
• Executing test cases and capturing test results.
• Reporting defects and issues found during testing.

• Best Practices and Strategies:

• Establishing test environments and data sets.
• Version control and change management in ETL testing.
• Collaboration with development and operations teams.