ETL Testing with concept of ETL Development  in Informatica and DataStage 

Introduction to ETL and DW Concepts:

What is Data Warehousing?

Differences between OLTP and Data Warehousing

Why we need two separate solution for real time and warehousing

 Data Acquisition

• DATA EXTRACTION

How to extract data from several sources and load into same target table

• DATA TRANSFORMATION

How to perform transformation logics on data

• DATA LOADING

How to load data into final target table

Data Marts

Need and usage of data marts and types of data marts

• Dependent DM

• Independent DM 

DATA WAREHOUSING LIFE CYCLE 

Types of Tables:

• Fact Table
• Dimension table 

Schemas:

Star Schema

Snowflake Schema

Fact Constellation Schema 

SCD ( Slowly Changing Dimensions )

Different types of SCD’s which developer develops and a tester has to test as per different types of data needs of clients

We implement SCD-1 and  SCD-2 in class to show the implementation part more transparently and explain SCD-3 to define how to work on limited historical data as well which is used sometimes

Types:

• TYPE1 SCD

• TYPE2 SCD

• TYPE3 SCD 

ETL Tool Implementation and Testing Concepts:

Basic Concepts In Sql (Select, Update, Insert and Delete)

How  to design frequently used testing queries to validate the data in source and target for both of the reasons Data Quality and Correctness to ensure that expected data came into the final and mediator target tables or not. 

Overview Of Etl Tool Architecture

How ETL tool works and what is the basic need of ETL tools in the market,

What are the similarities between ETL tools and SQL

Why we use ETL Tools if SQL is the only standard which any Database or Data Warehouse can use

How ETL Tools work at back end

Different ETL Tools in the market

What types of tasks tester performs on ETL for testing purpose

Informatica PowerCenter (Leading tool in the market) 

Coding and testing process in different transformation rules:

• SAMPLE Loading from source to target

• SORTER Transformation

• FILTER Transformation

 • EXPRESSION Transformation

 • JOINER Transformation

 • UNION Transformation

 • AGGREAGATOR Transformation

 • SEQUENCE GENERATOR Transformation

 • SQL Transformation

We provide this practice as additional benefit to you so that you can implement jobs  by yourself to understand that what developers do in real time which you have to test. 

Testing Techniques in ETL

• MINUS Query
• COUNT Query
• UNION Query
• JOIN Query 

Informatica PowerCenter

• How developers work on PowerCenter
• Different components of PowerCenter
• Tasks developed in different components 

Data Stage

• What is Data Stage
• Differences between Informatica PowerCenter and DataStage
• Components of DataStage
• Differences between ETL development process in Informatica and DataStage  

Additional benefits:

Interview Questions

Resume preparations

Real-time Scenarios examples and solution discussion

Assignments