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ETL Testing Training

You can learn ETL Testing with our ETL Testing training. We offer the greatest online classes to teach you Data Warehousing, OLAP, OLTP, implementing SQL for data validation, and the fundamentals of Business Intelligence. You will be able to work on real-world industry projects as part of your training.

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ETL Testing Course Description

Anyone, from beginners to specialists, can enrol in our Needintech ETL Testing class. This ETL training is organised step-by-step and covers the following topics: an introduction to testing, the distinction between OLAP and OLTP, learning about data warehousing concepts, workflow, and RDBMS, as well as the differences between database testing and data warehouse testing, using SQL to check for data accuracy, and data validation. Additionally, you will learn how to conduct OLAP testing, which covers cube and report testing.

Mock Interviews

Needintech's mock interviews provide a platform for you to prepare for, practise for, and experience a real-life job interview. You will have an advantage over your colleagues if you familiarise yourself with the interview environment beforehand in a comfortable and stress-free environment.

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Course Objetives
  • The scope of ETL testing is quite broad. Informatica PowerCenter, Oracle Data Integrator, Microsoft SQL Server Integrated Service, SAS, IBM Infosphere Information Server, and other ETL solutions are in high demand in the industry. In the future, the scope of ETL testing will expand.

An ETL process is important to every data-centric system or project, whether it is Data Migration or Data Warehouse. The ETL process handles all data transportation, transformation, and conversions to guarantee that all data is uniform in terms of amount, quality, and format.

  • Data Migration carries the risk of data loss or data truncation.
  • Business Intelligence is heavily reliant on data.
  • Data Warehouses Will Be Important in the Big Data Era.
  • Developers of ETL and SQL, Software Engineers, and Analysts
  • Project Managers for BI, Mainframe, and Databases
  • There are no requirements for learning this technology, therefore anyone may enrol in one of the best ETL Architecture training classes. A rudimentary understanding of SQL concepts can be beneficial.
  • ETL performance testing is a validation test to guarantee that an ETL system can function properly. Apache JMeter is an Open Source tool used to load test functional behaviour that can help you learn more than just the fundamentals of data. For newcomers, etl testing is the best option.
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Syllabus of ETL Testing Course in Chennai

Module 1 : 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

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Module 2 : 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)

Module 3 : 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

Module 4 : 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

Module 5 : 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

Module 6 : Different ETL tools available in the market

  • Informatica
  • Ab Initio
  • IBM Data stage

Module 7 : Power Center Components

  • Designer
  • Repository Manager
  • Workflow Manager
  • Workflow Monitor
  • Power Center Admin Console

Module 8 : Informatica Concepts and Overview

  • Informatica Architecture

Module 9 : Sources

  • Working with relational Sources
  • Working with Flat Files

Module 10 : Targets

  • Working with Relational Targets
  • Working with Flat file Targets

Module 11 : 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

Module 12 : Workflow Manger

  • Creating Reusable tasks
  • Workflows, Worklets & Sessions
  • Tasks
  • 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

Module 13 : 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

 

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