ETL Testing Course in Pune

ETL Testing Course in Pune

About ETL Testing Course 

ETL means Extract, Transform and Load. In this process, Data is extracted from different course databases and collected in a Data warehouse. Here, this data is processed and transformed in the format of the datawarehouse schema after which it is loaded into a separate datawarehouse database. This database makes data available for generating business intelligence reports, drawing insightful data interpretations and making business decisions. ETL Testing Course will teach you the tools, tables used to test the entire ETL process with the help of test cases and rules to make sure that desired results have been achieved without any data loss. In this course you will also gain a deep understanding of ETL Tools, Technologies and various RDBMS & Data Warehouse concepts.


  •    Knowledge of Basic RDBMS & SQL Concepts

 Intended Audience

  • ETL& SQL Developers, Data Analysts
  • Testers who want to get a job in ETL Testing
  • Project Managers,  Mainframe Professionals
  • Data Analysts & Database Professionals 
  •  IT professionals interested in data driven work  

ETL Testing Course Features


One Stop Solution!

   Ability to attend missed sessions

    Complete documentation

   Resume preparation

   Certification preparation.

   Interview preparation

   Placement assistance

ETL Testing Course Syllabus

ETL and Datawarehousing:

• ETL Testing Introduction

• ETL Testing Lifecycle

• Understanding Data Warehousing

• Data Warehouse Architecture

• Database Concepts

• Difference betweenOLAP and OLTP

• ER Model & Dimensional Model

• Data Warehousing vs. Database Testing

• RDBMS concepts

• Integrity constraints

• Difference between database and datawarehouse testing

ETL Testing

• Data warehouse workflow

• Data Extraction, Transformation, Loading

• ETL testing scenarios

• ETL Tools

• Datawarehouse testing

• ETL Mapping

• Data Mismatch

• Data Loss Testing

• Table types

• Schema Types

• Slowly Changing Dimensions & Types

Data Validation

• Validate data for completeness, correctness and quality

• Testing scenarios

• Validation types

• Negative testing

• Transformation Rules

• Testing Techniques

• SQL Checks

• Database structure

• Using SQL for data checks

• Writing SQL scripts

Data Marts

• Use and Types of Data Marts

• Dependent DM

• Independent DM

Reports & Cube Testing

• Reporting

• Cube Testing

• Business Intelligence Testing

• Live project


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