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Our ETL Testing course helps you learn how to check, validate, and confirm the data accuracy in ETL (Extract, Transform, Load) processes. It covers topics like
You will gain hands-on experience with data warehouses, automation tools, and SQL. It will help you build skills for ETL testing jobs. Learn to work with large datasets and improve data quality in real-world projects. Join now and become an expert in ETL testing!
Top Benefits of ETL Testing Course
Best ETL Testing Online Training–Key Skills You Will Gain
Our Best ETL Testing Online Training helps you master ETL Testing with practical knowledge and hands-on experience.
ETL Testing Basics:
Understand ETL concepts and how data moves through extraction, transformation, and loading.
ETL Automation Tools
Work with advanced tools to improve the speed and efficiency of testing.
SQL and Database Testing
Learn to check the accuracy of the data and correctness using SQL queries.
Error Handling and Debugging
You can learn to identify and fix issues in ETL processes efficiently.
Hands-on Tutorial
Gain real-world knowledge with industry-based projects from our ETL Testing Tutorial.
| 1. What is ETL? |
| 2. Why we need ETL Testing? |
| 3. Advantage of ETL Testing? |
| 4. Where we use ETL? |
| 5. Future of ETL? |
| 6. Why ETL is more in Demand and High Paying Option? |
| 7. Purpose of ETL testing |
| 8. ETL Testing Vs. Database Testing |
| 9. OLTP vs OLAP |
10. Type of Documents in ETL
|
| Class Notes |
| Assignment |
| 1. ETL Architecture |
| 2. ETL vs ELT |
| 3. Layers in ETL |
| 4. Source → Staging → Target flow |
5. Load Types:
|
| 6. Batch processing basics |
| 7. ETL testing lifecycle |
| Class Notes |
| Assignment |
| 1. Transformation Rule |
| 2. Lookup Rules |
| 3. Calculated Columns |
| 4. Data Cleaning |
| Class Notes |
| Assignment |
| 1. Data Warehouse architecture |
| 2. Type of Tables in Data warehouse |
| 3. What is Dimension Tables and why we use these? |
| 4. What is Fact tables and why we use these? |
5. Type of Slowly Changing Dimensions Tables:
|
6. Type of Facts:
|
7. Type of Schemas:
|
| 8. Cubes |
| 9. Data Marts |
| Class Notes |
| Assignment |
| 1. Prepare Architecture Document |
| 2. Prepare Mapping Document |
| Class Notes |
| Assignment |
| 1. Understanding business requirements |
| 2. Source-Target mapping analysis |
| 3. ETL test scenario creation |
| 4. Test case design (positive & negative) |
| 5. Prepare Test Data |
| 6. Defect reporting with ETL examples |
| Class Notes |
| Assignment |
| 1. Metadata Testing |
| 2. Source-to-Target validation |
| 3. Data completeness & accuracy checks |
| 4. Transformation rule validation |
| 5. Data integrity & referential checks |
| 6. Null, default & duplicate validation |
| 7. Incremental load validation |
| 8. Regression testing in ETL |
| Class Notes |
| Assignment |
| 1. Download project Code |
| 2. Step by step configure project |
| 3. Setup ETL Jobs |
| 4. Upload Data in Source Tables |
| Class Notes |
| Assignment |
| 1. Execute ETL Job and Load data in all layers: |
| 2. Source → Pre Staging → Staging → Target |
3. Perform End to End ETL Testing:
|
| 4. Execute All Test Cases |
| 5. Raise ETL Defects |
| 6. Retest ETL Defects |
| Class Notes |
| Assignment |
| Test Report |
| Class Notes |
| Assignment |
| Defect Types in ETL Testing |
| Class Notes |
| Assignment |
| Common challenges in ETL projects |
| Class Notes |
| Assignment |
| 1. Responsibility - Experience: 0-5 Years |
| 2. Responsibility - Experience: 5-10 Years |
| 3. Responsibility - Experience: 10+ Years |
| Class Notes |
| Assignment |
| 1. Responsibility - Experience: 0-5 Years |
| 2. Responsibility - Experience: 5-10 Years |
| 3. Responsibility - Experience: 10+ Years |
| Class Notes |
| Assignment |

