ETL Testing

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ETL Testing

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

ETL Testing Work flow activities involved

  • 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.
  • 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
  • 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.

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 Caches
  • Sequence Generator
  • Filter
  • Joiner
  • Sorter
  • Rank

closure summaries)

  • 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.

Course Features

  • Lectures 1
  • Quizzes 1
  • Duration 50 hours
  • Skill level All level
  • Language English
  • Students 0
  • Assessments Self
Curriculum is empty