ETL Testing
Complete ETL Testing Curriculum (Data Warehouse & SQL Based Automation)
Covered Topics
- Data Warehousing Concepts & Architecture
- ETL Testing Lifecycle & Tasks
- SQL for ETL Validation
- Tools (Informatica PowerCenter, DataStage, UNIX, Control-M)
- Project, Agile, STLC, and Career Preparation
ETL
- Course Timeline: 55–60 weekday
- Focus Area: Tosca RealTime Training
- Eligibility For: Open to all learners
- Includes: 100% Job Placement Assistance
Key Points
- Module-wise Course Structure
- Training Key Points
- Certifications / Suggested Path
- Who Can Join / Pre-requisites
- Detailed & Advanced Curriculum for ETL Testing (Concepts + SQL + Tools + Real-Time Project)
Training Key Points
- Resume Preparation (ETL + SQL + Data Warehouse)
- Interview Questions Discussion (Basic → Advanced)
- Mock Interviews
- Real-Time Banking/Data Warehouse Project Explanation
- Placement Assistance
- Daily Practice Tasks
- Preparation Strategy
- “Tell Me About Yourself” – ETL Testing Profile
Why Choose Ignitesofttech ETL Testing Classes?
About ETL Testing
ETL (Extract, Transform, Load) Testing is a specialized testing process performed on Data Warehouses, Data Migration Projects, and Business Intelligence Systems. Unlike application testing, ETL testing validates data extraction from source systems, transformation logic, and loading into data marts or DW using SQL and ETL tools.
It focuses on ensuring data accuracy, completeness, performance, transformation logic validation, SCD validations, batch job testing, and data quality checks. ETL testers work with large datasets, SQL queries, and tools like Informatica PowerCenter, IBM DataStage, and Control-M.
Learn to analyze requirements, design ETL test cases, perform database validations, check transformation rules, perform SCD testing, and validate end-to-end data pipelines—a high-demand career for Data QA Engineers.
Who Should Join?
- Freshers with interest in Data
- Manual Testers & QA Engineers
- SQL Testers / DB Testers
- BPO / Non-IT Professionals
- Developers / Support Engineers moving into Data Testing
Pre-requisites
NO PRIOR ETL tool knowledge required
BASIC SQL will be taught during course
NO CODING required – only SQL & data concepts
Complete ETL Testing Course Curriculum – 30 Modules
Part 1 – Data Warehouse Concepts (Modules 1–5)
- What is Data Warehouse & its Need
- OLTP vs OLAP
- Data Warehouse Architecture
- Data Marts & ODS
- Dimensional Modeling
- Fact vs Dimension Tables
- Normalization & De-normalization
- Star Schema
- Snowflake Schema
- Fact Types (Transaction, Snapshot, Accumulating)
- Types of Dimensions
- Surrogate Keys
- SCD Type 1
- SCD Type 2 (Date, Flag, Version)
- SCD Type 3
- Real-Time implementation and testing
- Waterfall Model
- Agile Methodologies
- V-Model for ETL Testing
- Test Strategy in DW Projects
- BI Overview
- Metadata
- Reporting Flow
- Real-time industry use cases
Part 2 – SQL for ETL Testing (Modules 6–12)
Module 6 – SQL Basics
- DDL, DML, DQL, TCL
- SELECT, WHERE, ORDER BY
- Comparison (BETWEEN, LIKE, IN, NULL)
Module 7 – Single Row & Conversion Functions
- UPPER, LOWER, LENGTH, SUBSTR
- TRUNC, ROUND, CEIL, FLOOR
- TO_CHAR, TO_NUMBER, TO_DATE
- NVL, CASE, DECODE
Module 8 – Joins
- INNER, LEFT, RIGHT, FULL OUTER
- CROSS JOIN
- SELF JOIN
- Complex queries & performance tuning
Module 9 – Grouping & Aggregation
- SUM, MIN, MAX, AVG, COUNT
- GROUP BY & HAVING
Module 10 – Subqueries
- Single-row & Multi-row Subqueries
- Logical operators: IN, ANY, ALL
Module 11 – Set Operators
- UNION, UNION ALL, INTERSECT, MINUS
Module 12 – Analytical Functions
- RANK, DENSE_RANK, ROW_NUMBER
- Views & Materialized Views
Part 3 – ETL Testing Concepts & Lifecycle (Modules 13–18)
Module 13 – ETL Testing Overview
- What is ETL?
- Role of ETL Tester
- How ETL Testing is Different from Functional Testing
Module 14 – ETL Testing Types
- Data Migration Testing
- Batch Job Testing
- Inbound & Outbound Testing
- Full Load vs Incremental Load Testing
Module 15 – ETL Testing Tasks
- Spec Analysis
- Test Case Design
- ETL Test Scripts Preparation
- Environment Setup
- Test Execution
Module 16 – ETL Testing Validations
- Structure & Count Validation
- Data Validation & Transformation Check
- Duplicate & Data Integrity Checks
- MINUS Query & Referential Integrity (RI) validation
- Default & Derived Values Check
Module 17 – Testing Phases
- Extraction Phase
- Transformation Phase
- Loading Phase
Module 18 – SCD Testing Techniques
- Validating SCD Type 1
- SCD Type 2 updates
- Versioning and historical data testing
Part 4 – ETL Tools & DevOps Integration (Modules 19–24)
Module 19 – ETL Tools Overview
- Informatica
- IBM DataStage
- Ab Initio
Module 20 – Informatica PowerCenter Architecture
- Designer
- Repository Manager
- Workflow Manager
- Workflow Monitor
Module 21 – Transformations
- Lookup, Filter, Joiner
- Aggregator, Sequence Generator
- Router, Update Strategy
- Source Qualifier
Module 22 – Workflow Manager
- Sessions, Tasks, Mapplets
- Constraint-based load ordering
- Scheduling Workflow
- Parameterization
Module 23 – UNIX Basics
- Basic UNIX Commands
- Validating flat files
- Running workflows using shell scripts
Module 24 – Control-M (Scheduling Tool)
- Job Scheduling
- Batch monitoring
- Failover Strategy
Part 5 – Project, Reports & Career Preparation (Modules 25–30)
Module 25 – Real-Time ETL Project
- Banking / Insurance DW Project
- Test Planning & Reporting
- Bug Tracking & Resolution
Module 26 – BI Report Testing
- Cognos Reporting
- SQL Query validation in reports
- Dashboard Testing
Module 27 – Performance Testing
- Load Testing Concepts
- Test case design for heavy data loads
Module 28 – Agile in ETL Projects
- Scrum Ceremonies
- User stories to ETL test cases
Module 29 – Career Preparation
- Resume Creation (ETL Tester / Data QA)
- “Tell me about yourself” – ETL profile
- Interview Question Bank
- Mock Interviews
Module 30 – Placement Assistance
- Profile shortlisting
- Job referrals
- Salary negotiation strategy