ETL Testing Course

ETL Testing Course #etl #etltesting #etltester

🔹 Week 1 – Foundations (Data & DWH Basics)
Day 1
• What is Data?
• OLTP vs OLAP
• Why Data Warehouse is needed
Day 2
• What is Data Warehouse
• Fact vs Dimension tables
• Real-life examples (Sales, Banking)
Day 3
• Star Schema & Snowflake Schema
• Understand schema with diagrams
Day 4
• What is ETL?
• Extract, Transform, Load – concept & flow
Day 5
• ETL Architecture
o Source
o Staging
o Transformation
o Target (DWH)
Day 6
• Full Load vs Incremental Load
• Batch processing concept
Day 7
• Revision + small quiz
• Explain DWH & ETL in your own words (interview style)
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Week 2 – SQL for ETL Testing
Day 8
• SELECT, WHERE, ORDER BY
Day 9
• COUNT, SUM, MIN, MAX
Day 10
• GROUP BY, HAVING
Day 11
• INNER JOIN, LEFT JOIN
Day 12
• ROW_NUMBER, RANK, DENSE_RANK
Day 13
• Data comparison queries
o Source vs Target count
o Mismatch records
Day 14
• Practice SQL on sample tables
• Mini test
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Week 3 – ETL Testing Concepts
Day 15
• Types of ETL Testing
o Source to Target
o Completeness
o Accuracy
Day 16
• Transformation Testing
• Business rule validation
Day 17
• Null & Duplicate Testing
• Boundary Testing
Day 18
• Reconciliation Testing
• Aggregation validation
Day 19
• Incremental Load Testing
• Delta vs Full load scenarios
Day 20
• SCD (Slowly Changing Dimensions)
o Type 1
o Type 2
Day 21
• Revision + Scenario-based questions
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Week 4 – Real-Time Project + Interview Prep
We will use a Retail Sales ETL Project
Tables:
• customer_dim
• product_dim
• date_dim
• sales_fact
Day 22
• Understand project architecture
• Source → Staging → Target flow
Day 23
• Source-to-Target mapping validation
Day 24
• Count & data mismatch testing using SQL
Day 25
• Transformation validation
o revenue = quantity * price
Day 26
• Incremental load testing
Day 27
• Write ETL test cases (real format)
Day 28
• Defect reporting (ETL bugs)
Day 29
• How to explain project in interview
• Role & responsibilities
Day 30
• Mock interview Q&A
• Final revision