vlr training

VLR Training provides Etl testing online Training in Hyderabad by Industry Expert Trainers. We provide Etl testing  live projects to the students and also Every Etl testing Recorded sessions. Data Science is growing by the second and the demand for Etl testing is exponentially rising because of the sheer fact of how many companies rely on Etl testing and how valuable an asset they’re to the company. 

About ETL testing

ETL testing refers to the process of testing the Extract, Transform, and Load (ETL) procedures and workflows in a data warehousing environment. ETL is a crucial component of the data warehousing process, which involves extracting data from multiple sources, transforming it into a usable format, and loading it into a target data warehouse or repository.

ETL testing involves testing the data at each stage of the ETL process, including data extraction, data transformation, and data loading, to ensure that it meets the intended business requirements and that the data is accurate, complete, and consistent.

Some of the key aspects of ETL testing include ensuring data completeness, validating data accuracy, ensuring data consistency across different systems, verifying data integrity, and checking for data duplication. ETL testing is also critical for identifying any errors or issues in the ETL process, and ensuring that they are addressed before the data is loaded into the target system.

Overall, ETL testing is an essential part of the data warehousing process, and helps to ensure the quality and accuracy of the data that is being used to support business decision-making

Data Science Machine Learning Online Training Course Details

Course Duration

30 Days


Mode of Training


Objectives Of ETL testing Learning Course

  1. Introduction to Data Warehousing and ETL: This section provides an overview of data warehousing and ETL, including the benefits of using data warehousing and ETL for managing data.

  2. ETL Architecture: This section covers the different components of an ETL system, including data sources, data transformations, and data targets. It also covers the different types of ETL architectures, such as hub-and-spoke and federated.

  3. ETL Testing Process: This section covers the ETL testing process, including test planning, test case development, test execution, defect tracking, and reporting.

  4. ETL Testing Techniques: This section covers the different techniques used in ETL testing, such as manual testing, automation testing, and data profiling.

  5. Data Validation: This section covers the different types of data validation techniques used in ETL testing, such as completeness, accuracy, consistency, and duplication.

  6. ETL Performance Testing: This section covers the techniques used for testing the performance of an ETL system, including load testing, stress testing, and scalability testing.

  7. ETL Error Handling: This section covers the different types of errors that can occur in an ETL system, and how to handle them.

  8. ETL Tools: This section covers the different ETL tools available in the market, such as Informatica, Talend, and DataStage.

  9. Case Study: This section provides a real-world case study to help participants apply their ETL testing knowledge in a practical setting.

Overall, an ETL testing course provides participants with the knowledge and skills required to test ETL processes effectively and efficiently, ensuring that the data being used for business decision-making is accurate and reliable.

Why should you take the etl testing course?

  • Anyone who is interested in data warehousing and wants to gain knowledge and skills in testing ETL processes can learn ETL testing. However, some of the typical roles that may benefit from ETL testing training include:

    1. Data analysts: ETL testing is essential for data analysts who work with large volumes of data and need to ensure that the data they are working with is accurate and reliable.

    2. Data warehouse developers: ETL testing is critical for developers who build data warehouses, as it helps to ensure that the data being loaded into the warehouse is clean and consistent.

    3. ETL developers: ETL developers are responsible for building and maintaining the ETL processes, and therefore need to have a strong understanding of ETL testing.

    4. Quality assurance professionals: Quality assurance professionals are responsible for ensuring that software products meet the intended requirements and specifications, and ETL testing is an important part of that process.

    5. Business analysts: Business analysts use data to inform business decisions, and therefore need to have confidence in the data they are working with. ETL testing helps to ensure that the data is accurate and reliable.

    Overall, anyone who wants to work with data and ensure its accuracy and reliability can benefit from learning ETL testing.

Etl testing course content

  • What is Data Warehouse.
    Purpose of DAta Warehouse.
    What is ETL.
    Overview of ETL Operations.
    ETL Architecture.
    What is Data Mart.
    Types of Data Mart.
    Data Mart Vs Data Warehouse.
    What is Dimension Table.
    What is Fact Table.
    Types of Fact & Dimension Table
    What is OLAP.
    What is OLTP.
    What is Data Modeling.
    Types of Data Modeling.
    What is Schema.
    Star Schema.
    Snow-Flake Schema.
    What is Normalization.
    What is De-Normalization.
    Slowly Changing Dimension(SCD).
    Types of SCD.
    Uses of SCD

  • Introduction of SQL with Oracle Database.
    Data Definition language Command(DDL).
    Data Manipulation language Command(DML).
    Transaction Control language Command(TCL).
    Data Control language(DCL).
    Data Type.
    Aggregate Function.
    Character Function.
    Date Function.
    Distinct Clause, Where Clause, Having Clause, Group by Clause.
    Logical Operator,Comparison Operator.
    Case Statement.
    Rank & Dense_Rank.
    Pseudo Columns.
    Set Operator.
    Type of joins(Equi, Non-Equi,Cross,Self,Outer ,Left & Right Join).
    Sub Queries.
    What is View.
    Useful SQL Query for Data Validation.
    Uses of SQL Function in transformation
  • Introduction of Informatica ETL tools.
    introductiion of Informatica Components.
    Power Cnter Designer.
    Power Center Workflow Manager.
    Power Center Workflow Monitor.
    Aggregate Transformation.
    Filter Transformation.
    Expression Transformation.
    Router Transformation.

    Joiner Transformation.
    Sequence Generator Transformation.
    Lookup Expression Transformation.
    ETL Test Environment.
    Environment With Practical.
    ETL Tester Strategy.
    ETL testing Methodology.
    ETL Testing Techniques.
    ETL Functional Testing.
    ETL Performance Testing.
    Introduction of Slowly Changing Dimension(SCD).
    SCD Type 1,Type 2, Type 3 Testing.
    Intial Load testing.
    Incremental Load Testing.
    Surrogate Key & Uses.
    Testing Flat file Data.
    Testing with Different Source and Target.
    Constrains Testing.
    ETL Integration Testing.
    ETL Regression Testing.
    ETL System Testing.
    UAT Testing.
    Designing the Test Cases.
    Challenges in DWH Testing.

Data Base Testing.
ETL/DWH Testing.
Data Base Testing VS ETL/DWH Testing.
BRD , FSd Document.
About STM Document.
Data Quality Rules.
Testing with Different Transformation.

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