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ETL Testing Fundamentals Cheatsheet
ETL and Data Pipeline Testing
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ETL and Data Pipeline Testing
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Module 1
ETL Testing Fundamentals
What Is ETL (Extract, Transform, Load) and Data Pipeline Architectures (Batch vs Streaming)
Data Warehouse and Data Lake Concepts and ETL Testing vs Application Testing
Common ETL Bugs and Failure Modes and ETL Testing Strategy and Planning
ETL Testing Fundamentals Cheatsheet
Lab: ETL Testing Fundamentals in Practice
Quiz: ETL Testing Fundamentals
Module 2
Source Data and Extraction Testing
Source-to-Staging Data Validation and Row Count and Completeness Checks
Data Type Mapping Verification and Incremental vs Full Load Testing
Handling Schema Changes in Sources and API and File-Based Extraction Testing
Source Data and Extraction Testing Cheatsheet
Lab: Source Data and Extraction Testing in Practice
Quiz: Source Data and Extraction Testing
Module 3
Data Transformation Testing
Business Rule Validation in Transformations and Aggregation and Calculation Testing
Data Cleansing and Normalization Verification and Lookup and Join Logic Testing
Slowly Changing Dimensions (SCD) Testing and Null Handling and Default Value Testing
Data Transformation Testing Cheatsheet
Lab: Data Transformation Testing in Practice
Quiz: Data Transformation Testing
Module 4
Load and Reconciliation Testing
Target Data Validation and Reconciliation and Referential Integrity in Data Warehouses
Duplicate Detection and Deduplication Testing and Data Freshness and Latency Validation
Partition and Indexing Verification and End-to-End Data Lineage Testing
Load and Reconciliation Testing Cheatsheet
Lab: Load and Reconciliation Testing in Practice
Quiz: Load and Reconciliation Testing
Module 5
Data Quality Automation
Great Expectations for Data Validation and Dbt Tests for Data Transformation
Data Quality Monitoring and Alerting and CI/CD for Data Pipelines
Data Observability Platforms and Building a Data Testing Culture
Data Quality Automation Cheatsheet
Lab: Data Quality Automation in Practice
Quiz: Data Quality Automation
Reading
6 min read
ETL Testing Fundamentals Cheatsheet
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On this page
What is ETL?
Data Pipeline Architectures: Batch vs Streaming
Data Warehouse vs Data Lake Concepts
ETL Testing vs Application Testing
Common ETL Bugs and Failure Modes
ETL Testing Strategy and Planning
Comparison Flowchart: Batch vs Streaming Processing
Patterns and Anti-Patterns
ETL Testing Checklist
Key Takeaways
Quick Self-Check
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