ETL Testing Training for Reliable Data Pipelines

ETL Testing Training examines how data is extracted, transformed, and loaded accurately across source systems, staging layers, and target databases. Learn to validate data mappings, transformation rules, record counts, data quality, duplicates, and reconciliation results while identifying failures in warehouse and reporting pipelines. The course focuses on the testing practices needed to verify that business data remains consistent, complete, and dependable throughout the ETL process.
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ETL Testing Training partners with leading data platform providers to ensure curriculum relevance. Participants receive access to licensed versions of Informatica, Talend, and Microsoft SSIS for practice.

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Senior System Admin
alok kumar singh Upskilled
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sap hcm
Jeevak Placed
Jeevak
Consultant
Abhijit S. Getme Upskilled
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Consultant Engineer
Kartik Singh Placed
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SAP SD
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Curriculum

ETL Testing Training, ZeblearnIndia, Data Career, ETL testing, Boost Your Data Career Course Syllabus Structure

The ETL Testing Training curriculum covers data extraction techniques, transformation logic verification, and load performance checks. Learners build end‑to‑end test cases for a sample sales data warehouse using SQL scripts and data quality dashboards.

  • Master Data Warehouse Concepts, Step by Step from Scratch
  • Is Data Warehouse Still Relevant in the Age of Big Data?
  • What is Data?
  • Why Data Warehouse is Implemented?
  • What is a Data Warehouse?
  • Test Your Understanding on the Data Warehouse Basics
  • Master Data Warehouse Concepts, Step by Step from Scratch
  • Is Data Warehouse Still Relevant in the Age of Big Data?
  • What is Data?
  • Why Data Warehouse is Implemented?
  • What is a Data Warehouse?
  • Test Your Understanding on the Data Warehouse Basics
  • What is a Data Mart?
  • Fundamental Difference Between Data Warehouse and Data Mart
  • Advantages of a Data Mart
  • Characteristics of a Data Mart
  • Disadvantages of a Data Mart
  • Mistakes and Misconceptions of a Data Mart
  • Test Your Understanding on the Data Mart Concepts
  • Multi-Tiered Architecture
  • Components of a Data Warehouse Architecture
  • Purpose of a Staging Area in Data Warehouse Architecture  
  • Test Your Understanding on the Data Warehouse Architecture
  • What is Data Modeling?
  • Why Should a Tester Know Data Modeling?
  • Data Modeling Techniques
  • ER Data Model
  • Dimensional Model
  • Differences Between ER Model and Dimensional Model
  • Different Phases Required to Build a Dimensional Data Model
  • Business Requirements
  • CDM - Conceptual Data Model
  • LDM - Logical Data Model
  • Physical Data Model
  • Database
  • What is a Dimension Table?
  • What is a Fact Table?
  • Additive Facts
  • Semi-Additive Facts
  • Non-Additive Facts
  • Fact-less Facts
  • What is a Star Schema?
  • What is a Snowflake Schema?
  • Galaxy Schema or Fact Constellation Schema
  • Snowflake vs. Star Schema
  • Conformed Dimensions
  • Junk Dimensions
  • Degenerate Dimensions
  • Role-Playing Dimensions
  • Slowly Changing Dimensions - Intro and Example Creation
  • Slowly Changing Dimensions (SCD) Type 1, 2, 3
  • Slowly Changing Dimensions - Summary
  • What is Data Integration?
  • What is ETL?
  • Data Acquisition
  • Data Transformation
  • ELT 
  • ETL vs ELT
  • Functional Analyst or Business Analyst
  • SME - Subject Matter Expert
  • DW BI Architect and Data Modeler
  • DWH Tech Admin
  • ETL Developers
  • BI OLAP Developers
  • ETL Testers / QA Group
  • DB UNIX Network Admins
  • Data Architect, Data Warehouse Architect, BI Architect, and Solution Architect
  • Knowledge Capture Sessions
  • Requirements
  • Architecture Phase
  • Data Model/Database
  • ETL Phase
  • Data Access Phase
  • Data Access Types - Selection
  • Data Access Types - Drilling Down
  • Data Access Types - Exception Reporting
  • Data Access Types - Calculations
  • Data Access Types - Graphics and Visualization
  • Data Access Types - Data Entry Options
  • Data Access Types - Customization
  • Data Access Types - Web-Based Reporting
  • Data Access Types - Broadcasting
  • Deploy
  • Iterative Approach
  • Introduction and Knowledge Capture Sessions
  • Test Strategy and Plan
  • Define Test Framework
  • Assess Source & Target Components
  • Test ETL - The Data Centric Method
  • System and Integration Testing
  • Regression Testing
  • Performance Testing
  • Different Categories Of DWH Projects
  • New DataWarehouse SetUp
  • Migration Testing - Includes Data Migration
  • Change Requests - For Existing Projects
  • OLAP/Dashboard/Report Testing
  • Knowledge of the project or the application
  • Analysis of the specifications provided by the clients
  • Approve requirements and design specifications
  • Create and Maintain the test strategy document
  • Design the Test Cases as per the Test plan
  • Estimate the efforts required to design the test cases and execute the project
  • Traceability of requirements to test cases
  • Define Exit and Entrance criteria
  • Creating Test Plan, Test Scenario, Test Cases & Test Scripts to validate source
  • Test data creation
  • Creating and Maintaining Reusable Scripts and Execute Test Scripts
  • Execute backend data-driven test cases
  • Client Coordination and Incorporate UAT Test cases and Identify Bugs
  • Other Roles and Responsibilities
  • INFOGRAPHIC: The Roles & Responsibilities of an ETL Tester / ETL QA Analyst
  • Database Testing vs GUI Testing
  • Structural Database Testing
  • Functional Database Testing
  • Non-Functional Database Testing
  • What is Data Testing/ETL Testing and the Challenges in ETL Testing?
  • What will be the future of ETL tools/testing as big data is getting popular?
  • Database Testing and ETL Testing
  • Differences Between Database Testing and ETL Testing
  • Database Testing During ETL Testing - Explained with a Project Setup
  • Bug Reports
  • After Finding the Defect
  • Writing the Bug Summary
  • Using Appropriate Language/Phrases
  • Steps to Reproduce the Defect
  • Including Test Data
  • Including Screen Shots
  • Severity / Priority
  • Logs
  • Introduction to the common causes for defects
  • Insufficient/Incorrect Requirements
  • Assumptions/Mis-Understanding
  • Wrong Decision During The Design
  • Good Programmers With Wrong Goals
  • Complexity
  • Time Constraints
  • Frequently Changing Business Requirements
  • Reporting the discrepancy
  • Communicating the discrepancy
  • Escalating the discrepancy
  • Generating Metrics
  • Critical Issue Severity
  • High Severity Issues
  • Medium Severity Issues
  • Low Severity Issues
  • Metadata Testing
  • Data Completeness Testing
  • Data Quality Testing - Data Duplicates
  • Data Quality Testing - Business Validation and Rules
  • Data Transformation - White Box Testing
  • Data Transformation - Black Box Testing
  • ETL Regression Testing
  • Reference Data Testing
  • Incremental ETL Testing
  • ETL Integration Testing
  • ETL Performance Testing
  • Different Types of Enterprise Databases
  • Different ETL tools available in the Market
  • Which ETL tool should you learn, if you are starting with ETL testing now?
  • Pre Installation Steps & System Pre-Requisites
  • Quick Tip: Product Availability Matrix - PAM
  • Download Software
  • Oracle 11g Installation and SQL Developer Configuration
  • Too Many Files!! Which one should I download?
  • Extract the Informatica Downloaded files
  • Power Center Server Installation
  • Power Center Client Installation
  • Administration Console Introduction
  • List of Services Available
  • Repository Service Creation
  • Setting up Integration Service
  • Repository Configuration and Folder Creation
  • Basic File directory structures
  • Client Tools and Components
  • Setting up the Database Connection at Mapping Designer and Workflow Manager
  • Let's start with the Mapping Designer
  • Mapping Designer - Finding Object Dependencies
  • The Complete Cycle - Lets build the first Mapping, Session and the Workflow
  • Transformations Overview
  • Different Categories of Transformations
  • Active Transformations
  • Passive Transformations
  • Connected Transformations and Unconnected Transformations
  • Multi Group Transformations
  • Restricted Process Transformations
  • Data Flow Rules
  • Brief Introduction to Transformations and Their Functions
  • Aggregator Transformation
  • Expression Transformation
  • Filter Transformation
  • Joiner Transformation
  • Lookup Transformation
  • Normalizer Transformation
  • Rank Transformation
  • Router Transformation
  • Sequence Generator Transformation
  • Stored Procedure Transformation
  • Sorter Transformation
  • Source Qualifier Transformation
  • Update Strategy Transformation
  • XML Source Qualifier Transformation
  • XML Parser Transformation
  • XML Generator Transformation
  • Union Transformation
  • HTTP Transformation
  • Transaction Control Transformation
  • Identity Resolution Transformation
  • Custom Transformation
  • Data Masking Transformation
  • Different Types of Functions
  • Best Ways to Get Around Functions
  • Workflow Monitor
  • Monitor Tool's Functionality & Available Options
  • Session Log
  • Test Your Understanding on Monitor and Session Logs
  • Repository Manager Activities
  • Mapplet
  • Usage of Debugger
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    ETL Testing Training for Reliable Data Pipelines — Flexible Batches For You

    StatusDateTypeScheduleTime
    SOLD OUT 30 Aug 2026 Weekend SAT - SUN (08 Weeks) 18:00 - 20:00
    FILLING FAST 4 Sep 2026 Weekday MON - FRI (08 Weeks) 08:00 - 10:00
    AVAILABLE 9 Sep 2026 Weekend SAT - SUN (08 Weeks) 10:00 - 12:00
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    FAQ

    Frequently Asked Questions

    Q: What core skills does ETL Testing Training develop? A: ETL Testing Training develops the ability to validate data integrity across extraction, transformation, and loading stages. Q: How does Zeblearn's ETL Testing Training improve data career prospects? A: Zeblearn's ETL Testing Training equips learners with certification‑ready expertise that employers seek for data pipeline roles. Q: Is prior programming knowledge required for ETL Testing Training? A: No prior programming is mandatory; the course introduces SQL and scripting concepts as they apply to ETL validation.

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