ETL testing is done to ensure that the data has been loaded from a source to the destination after business transformation is accurate. It also involves the verification of data at various middle stages that are being used between source and destination. ETL stands for Extract-Transform-Load. Data is extracted from an OLTP database, transformed to match the data warehouse schema and loaded into the data warehouse database. ETL can transform dissimilar data sets into an unified structure.

Training Objectives of ETL TESTING
ETL testing is a data driven testing procedure to approve that the information has been transformed and stacked into the objective not surprisingly. There are numerous choices in the job titles and any MNCs are looking to hire the best candidate with the knowledge of ETL testing. This course provides attendees with an end-to-end understanding of how data warehouse (DWH), data integration, and ETL testing can be successfully accomplished in a planned and disciplined manner.

Course Content

Purpose of Data warehouse
Tools used to Load data into the data warehouse
About Data warehouse Testing
Need for ETL Testing
ETL Testing phases
Business understanding
Test plan creation
Test environment setup
Test script generations
How is ETL Testing different from normal Testing
How to ensure no data loss
Transformation Rules
Data validation Strategies
Data file loads
Data validation with in staging tables to check all Mapping rules
Data validation with in Target tables to ensure data is present in required format
Staging Area
Test approach and procedure in staging area
SOR Area
Test approach and procedure in SOR area
Data marts Area
Test approach and procedure in Data marts area
Live project examples of ETL Testing with Data stage ETL Tool
Most commonly used SQL oracle queries useful in ETL Testing
Most frequently asked Interview Questions