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ETL Testing Certification Online Training

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Learners : 1080

Duration :  25 Days

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🌐 ETL Testing Online Training

ETL (Extract, Transform, Load) Testing is a crucial process in data warehousing and analytics that ensures data accuracy, completeness, and reliability as it moves from source systems to data warehouses. This course provides hands-on experience in validating data transformations, verifying data integrity, and automating ETL testing using industry-standard tools.

Its Core Capabilities Include:

  • ETL Concepts & Architecture:
    Understand the ETL process, data flow, and the role of ETL testing in business intelligence systems.
  • Data Validation & Verification:
    Learn to validate data extraction, transformation rules, and target load accuracy.
  • Data Quality & Integrity Testing:
    Ensure consistency, accuracy, and correctness of data across multiple systems.
  • SQL for ETL Testing:
    Write complex SQL queries to compare source and target data, verify transformations, and identify discrepancies.
  • Automation in ETL Testing:
    Use tools like Selenium, Informatica, and QuerySurge to automate data validation processes.
  • Performance & Regression Testing:
    Test ETL workflows for scalability, performance optimization, and post-deployment stability.
  • Defect Management & Reporting:
    Document, report, and track data defects effectively using JIRA or QC.

📍 Bonus: Certification Tracks

  • ETL Testing Professional (Viswa Online Trainings)
  • Data Warehouse Testing Certification
  • Informatica Data Validation Option (IDQ)
  • Advanced SQL for Data Testing

ETL Testing Training Course Syllabus

Data Warehouse concepts
  • Why Data Warehouse
  • What is Data Warehouse?
  • OLTP VS OLAP
  • Data Warehouse Architecture
  • Importance of Staging
  • Dimension Modeling
  • Type of dimensions
  • FACTS
  • Schemas
  • Star
  • Snowflake
  • Galaxy
  • Surrogate Keys
SQL concepts
  • DDL
  • DML
  • Joins
  • WHERE, Group By, Having
  • Operators
  • Except, UNION, UNION ALL
  • Rank, Row_Number functions
  • String functions
  • Date functions
  • Practices queries on SQL SERVER 2008 R2
ETL concepts
  • QA roles and responsibilities in ETL Testing
  • What is mapping document (Transformation, cleansing, etc…)
  • Data flow from source to staging to target
  • Test Scenarios
  • Test Cases writing
  • Source to stage
  • Stage to target
  • Test Execution
  • Initial and Incremental load testing
  • Level of Testing
  • Functional Testing
  • ETL jobs/scheduled testing
  • Defects in ETL
  • Practice on UNIX commands using CYGWIN tool
  • Import flat file to database table in Oracle/Teradata/SQL Server
  • Instruction document on running and monitoring workflows/jobs in SSIS/Informatica
  • Samples in SSIS tool
ETL Testing Course Key Features
  • Live Instructor based training with software
  • Certification Oriented content
  • Hands-on complete Realtime training
  • Flexible schedule demo's & classes
  • Live recorded videos access
  • Study material provided
  • JOB Assistance

Course completion certificate

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  • Instructor-Led training real time projects
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  • Learn as a full day schedule with discussions, exercises.
  • Practical use cases.
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ETL Testing Online Training FAQ'S

What is ETL Testing?

  • ETL Testing validates the data movement from source to target systems ensuring accuracy, completeness, and reliability after extraction, transformation, and loading.

     

What are the types of ETL testing?

  • Common types include Data Completeness Testing, Data Transformation Testing, Regression Testing, and Performance Testing.

     

What is the difference between ETL Testing and Database Testing?

  • ETL Testing focuses on verifying data movement and transformations, while Database Testing ensures the structure, schema, and integrity of the database itself.

     

How do you validate data in ETL Testing?

  • By using SQL queries to compare source and target datasets, verifying transformation logic, and checking data mapping documents.

     

What are common ETL Testing tools?

  • Tools like Informatica Data Validation, Talend, QuerySurge, Datagaps ETL Validator, and Selenium (for automation) are commonly used.

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