ETL Testing Training Syllabus
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 Dimension table
  • Normalization and De-Normalization
ETL Testing
  • 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 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
  • Different ETL tools available in the market
    • Informatica
    • Ab Initio
    • IBM Data stage
  • Power Center Components
    • Designer
    • Repository Manager
    • Workflow Manager
    • Workflow Monitor
    • Power Center Admin Console
  • Informatica Concepts and Overview
    • Informatica Architecture.
  • SourcesWorking 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 Caches
    • Sequence Generator
    • Filter
    • Joiner
    • Sorter
    • Rank
    • Router
    • Aggregator
    • Source Qualifer
    • Update Strategy
    • Normalizer
    • Union
    • Stored Procedure
    • Slowly Changing Dimension
      • SCD Type1
      • SCD Type2 — Date, Flag and Version
      • SCD Type3
  • Workflow Manger
    • Creating Reusable tasks
    • Workflows, Worklets & Sessions
    • Tasks
  • Session
  • Decision task
  • Control Task
  • Event wait task
  • Timer task
    • Monitoring workflows and debugging errors
  • Indirect Loading
  • Constraint based load ordering
  • Target Load plan
  • Worklet ,Mapplet ,Resuable transformation
  • Migration ?ML migration and Folder Copy.
  • Scheduling Workflow
  • Parameter and variables
  • XML Source, Target and Transformations
  • Performance Tuning
    • Pipeline Partition
    • Dynamic Partition
    • Pushdown optimization
  • Preparation of Test Cases
  • Executing Test case
  • Preparing Sample data
  • Data validation in Source and target
  • Load and performance testing
  • Unit testing Procedures.
  • Error handling procedures.