ETL Tool Testing Certified course

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About Course

Course Description:

The ETL Tool Testing Certified Course is designed to provide learners with comprehensive knowledge and practical skills in testing Extract, Transform, and Load (ETL) processes, which are critical in data warehousing and business intelligence systems. This course covers the fundamentals of ETL, the testing lifecycle, data validation techniques, and defect reporting, while also focusing on real-time scenarios such as source-to-target data verification, performance testing, and data integrity checks. With hands-on exposure to leading ETL and data warehouse tools, participants will gain the ability to ensure data accuracy, consistency, and reliability across complex data systems. By the end of the course, learners will be equipped to handle ETL testing projects confidently and meet the growing industry demand for skilled ETL testers.

Career Opportunities After ETL Tool Testing Certified course:

  • ETL Tester 
  • Data Warehouse Tester
  • ETL Developer/Support Engineer
  • QA Engineer (Data & ETL Domain)
  • Data Analyst (Testing Focused) 
  • Business Intelligence Tester
  • Big Data QA Engineer
  • Test Automation Engineer (ETL
  • Data Validation Specialist

Essential Skills you will Develop ETL Tool Testing Certified course:

  • Strong SQL & Database Skills
  • ETL Concepts & Workflows
  • Data Validation & Verification
  • ETL Testing Lifecycle
  • Data Warehouse Fundamentals
  • ETL Testing Tools Proficiency
  • Test Automation for ETL
  • Big Data Testing Skills 
  • Performance & Scalability Testing
  • Defect Management & Reporting

Tools Covered:

  • ETL Tools
  • Cloud ETL & Data Warehouse Tools
  • Databases
  • Big Data Tools
  • Testing & Automation Tools
  • Defect Management Tools
  • Version Control
  • Visualization & BI Tools (for validating reports)

Syllabus:

Module 1: Introduction to ETL & Data Warehousing Basics of ETL (Extract, Transform, Load) Importance of ETL testing in data-driven industries Data warehouse architecture, OLTP vs OLAP Schema types: Star, Snowflake, and Galaxy.

Module 2: ETL Testing Fundamentals ETL testing lifecycle & process flow Types of ETL testing (data completeness, data quality, regression, performance, etc.) Challenges in ETL testing Real-world case studies.

Module 3: SQL for ETL Testing Writing queries for data validation Joins, aggregations, subqueries, window functions Source-to-target data verification Advanced SQL techniques for testers.

Module 4: Data Mapping & Data Validation Source-to-target mapping document (STTM) Data validation techniques Data profiling & data quality checks Handling nulls, duplicates, and transformations.

Module 5: ETL Testing Tools Introduction to Informatica, Talend, SSIS, IBM DataStage Testing approaches in different tools Hands-on exercises with one ETL tool Tool comparison & industry use cases.

Module 6: Cloud ETL & Data Warehouse Testing Cloud-based ETL concepts Testing with Snowflake, AWS Glue, and Azure Data Factory Validating cloud-based data pipelines Security & compliance testing in cloud ETL.

Module 7: Big Data ETL Testing Hadoop ecosystem overview (HDFS, Hive, Spark) ETL testing in big data environments Hive queries for data validation Challenges in big data ETL testing.

Module 8: Test Automation in ETL Need for automation in ETL testing Automation using Python, Selenium, and SQL scripts Frameworks for ETL test automation Case studies of automation projects.

Module 9: Performance & Scalability Testing  Performance testing concepts in ETL Using Apache JMeter for ETL job performance testing Bottleneck identification in ETL pipelines Scalability & load testing.

Module 10: Live Project & Industry Practices End-to-end ETL testing project (from raw source to BI dashboard) Test case design & execution Defect tracking with JIRA/ALM Industry best practices & interview preparation.

Industry Projects:

  • Banking – Customer Transaction Data Validation
  • Healthcare – Patient Data Integration
  • E-Commerce – Sales & Inventory Data Warehouse

 Who is this program for?

  • Fresh Graduates & Job Seekers
  • Manual Testers & QA Engineers
  • ETL Developers
  • Data Analysts & BI Professionals

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com

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