ETL Testing


This ETL (Extract, Transform, Load) Testing course covers Data Warehousing, Data Validation, Performance Testing, and Automation to ensure data accuracy and consistency across systems.

Module 1: Introduction to ETL & Data Warehousing

  • What is ETL Testing?
  • Importance of ETL Testing in Data Warehousing
  • ETL vs. Database vs. Data Warehouse Testing
  • ETL Tools Overview (Informatica Power Center, Talend, Pentaho)
  • Data Warehousing Concepts:
    • OLTP vs. OLAP
    • Star & Snowflake Schema
    • Facts & Dimensions
    • Data Marts & Data Lakes

Module 2: ETL Testing Basics

  • ETL Testing Workflow
  • Different ETL Testing Phases
  • ETL Testing Types:
    • Source-to-Target Testing
    • Data Completeness Testing
    • Data Accuracy Testing
    • Data Transformation Testing
    • Data Integrity Testing
    • Incremental Load Testing
    • Regression Testing in ETL

Module 3: ETL Testing Process

  1. Requirement Analysis
    • Understanding business and data transformation rules
    • Mapping Documents & Source-to-Target Mapping (STM)
  2. Test Planning & Strategy
    • Creating ETL Test Plan
    • Identifying Test Scenarios & Cases
  3. Test Execution & Validation
    • Extract Validation (Source System)
    • Transform Validation (Business Rules & Data Formatting)
    • Load Validation (Target System)
  4. Defect Reporting & Resolution
    • Identifying ETL Defects
    • Reporting & Retesting

Module 4: SQL for ETL Testing

  • Basics of SQL & Queries
  • Joins, Subqueries, and Aggregate Functions
  • Writing Queries for ETL Testing
  • Validating Data using SQL Queries
  • Data Deduplication Techniques
  • Performance Optimization in SQL

Module 5: Data Transformation & Business Rules Testing

  • Validating Business Logic Transformations
  • Lookup Transformations
  • Data Type Conversions
  • Aggregation Testing (SUM, COUNT, AVG, etc.)
  • Data Cleansing & Standardization

Module 6: ETL Performance & Regression Testing

  • Identifying Bottlenecks in ETL Jobs
  • Performance Tuning & Optimization Techniques
  • Data Partitioning Strategies
  • Regression Testing for ETL Jobs

Module 7: Automation in ETL Testing

  • Introduction to ETL Test Automation
  • Automating ETL Tests using Python
  • Writing Test Scripts for Data Validation
  • Implementing Automation with ETL Testing Tools

Module 8: Data Quality & Validation Techniques

  • Identifying Data Anomalies
  • Data Profiling Techniques
  • Data Consistency & Integrity Checks
  • Data Masking & Security Testing

Module 9: Hands-on ETL Testing with Tools

  • Talend ETL Testing - most of the companies
  • Writing Test Cases for Real-World Scenarios
  • End-to-End ETL Testing on a Live Data Warehouse

Module 10: ETL Testing Best Practices & Interview Prep

  • Best Practices in ETL Testing
  • ETL Testing Checklist
  • Real-time ETL Testing Challenges
  • ETL Testing Resume Preparation
  • Interview Questions & Mock Interviews

Bonus:

  • Real-world ETL Testing Projects
  • Industry Case Studies

🚀 By the end of this course, you’ll be able to:
✅ Perform ETL Testing from scratch.
✅ Validate data extraction, transformation, and loading.
✅ Automate ETL Testing using SQL & scripting.
✅ Optimize ETL processes for performance.
✅ Crack ETL Testing Interviews with confidence.


                      


Course Duration: 30 Hrs.
Course Fee: ₹14,500