ETL Testing Training

What is ETL?

ETL stands for Extract, Transform, and Load. It is a process in data warehousing. Extraction is to extract data from same or different data sources, Transformation is to store data in proper format or structure for analysis and Loading is to load data into final target database. All three are done in parallel to reduce the processing time because each process takes a significant amount of time. ETL systems commonly integrate data from multiple systems used throughout an organization or industry.

What is ETL Testing?

ETL is done elaborately in data-critical businesses which includes as many as 9 execution steps. Each step is important and significant problems will occur in improperly designed and irregularly tested systems. ETL testing is the process of finding and solving the possible challenges in the ETL process and ensuring that data is safe and secure and integrated properly. Many challenges can arise in ETL process like incompatible data, huge volume of data etc. ETL testing has to ensure that the ETL tool will overcome all these challenges without compromising data.

Why to enrol in ETL testing course at Trishana technologies, Bangalore?

Because, the most comprehensive syllabus and training materials you will ever find is right here, at Trishana technologies. Our syllabus will start from the primary factor for the existence of ETL – Data Warehousing. Then we will cover ETL and its architecture, challenges in ETL, and Types of ETL testing. We will elaborately discuss all the available ETL tools in the market such as Informatica, Ab Initio and IBM Data stage. We complement the specially designed syllabus with well-experienced professionals as trainers and simple self-explanatory sum-ups as training materials. Our state-of-the-art computer lab is equipped with all the available ETL tools to help you get hands-on experience in all of them. We also provide the best placement support for all our students and ensure that every last one of them is placed well and good.

Our ETL Testing course 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
  • 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
    • Router
    • Aggregator
    • Source Qualifier
    • 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 ,Reusable 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.

    Career opportunities in ETL Testing

    • ETL Test Engineers
    • ETL Testing Engineer for Informatica
    • Big Data ETL Testing professionals
    • Test specialist: Data management
    • DWH Test Engineers