Syllabus for ETL Testing Training
DWH: Data Ware Housing Concepts

What is Data Warehouse?
Need of Data Warehouse
Introduction to OLTP, ETL and OLAP Systems
Difference between OLTP and OLAP
Data Warehouse Architecture
Data Marts
ODS [Operational Data Store]
Dimensional Modelling
Difference between relation and dimensional modelling
Star Schema and Snowflake Schema
What is fact table
What is the Dimension table
Normalization and De-Normalization
ETL Testing

SQL concepts
DDl
DML
join,
lookup

ETL architecture.
What is ETL and importance of ETL testing
How DWH ETL Testing is different from the Application Testing
SDLC/STLC in the ETL Projects (ex: V Model, Water fall model)
Challenges in DWH ETL Testing compare to other testing

Incompatible and duplicate data.
Loss of data during ETL process.
Testers have no privileges to execute ETL jobs by their own.
Volume and complexity of data is very huge.
Fault in business process and procedures.
Trouble acquiring and building test data.
ETL Testing Work flow activities involved

Analyze and interpret business requirements/ workflows to Create
estimations
Approve requirements and prepare the Test plan for the system testing
Prepare the test cases with the help of design documents provided by the
developer team
Execute system testing and integration testing.
Best practices to Create quality documentations (Test plans, Test Scripts, and Test closure summaries)
How to detect the bugs in the ETL testing
How to report the bugs in the ETL testing
How to co-ordinate with the developer team for resolving the defects

Types of ETL Testing

Data completeness.
Data transformation.
Data quality.
Performance and scalability.
Integration testing.
User-acceptance testing.
SQL Queries for ETL Testing
Incremental load testing
Initial Load / Full load testing

ETL Test Scenarios and Test Cases
Mapping doc validation
Validation
Constraint Validation
Data consistency issues
Completeness Issues
Correctness Issues
Transformation
Data Quality
Null Validate
Duplicate Check
Date Validation
Complete Data Validation
Data Cleanness

slowly Changing Dimension

SCD Type1
SCD Type2
Date, Flag and Version
SCD Type3

Sources

Working with relational Sources
Working with Flat Files

Targets

Working with Relational Targets
Working with Flat file Targets
Transformations Active and Passive Transformations

Expression
Lookup Different types of lookup
Sequence Generator
Filter
Joi
Stored Procedure