Talend for ETL Testers

 

🚀 Objective: This course is designed for ETL Testers to gain hands-on experience with Talend Open Studio for Data Integration and learn how to validate ETL pipelines effectively. The curriculum covers data extraction, transformation, loading, validation techniques, automation, and performance testing in ETL processes.

📅 Module 1: Introduction to Talend & ETL Basics

📌 Overview of ETL & Data Warehousing

  • What is ETL?

  • Role of ETL in Data Warehousing

  • ETL Testing vs. ETL Development

📌 Introduction to Talend Open Studio

  • Talend Architecture & Components

  • Installing and Setting up Talend

  • Talend Repository & Project Structure

📌 Basic Talend Job Development

  • Understanding Jobs, Components, and Metadata

  • Connecting to Different Data Sources (Flat Files, Databases, Cloud Storage)

  • Running and Debugging Jobs

📅 Module 2: Data Extraction & Validation

📌 Extracting Data from Multiple Sources

  • Connecting to CSV, Excel, JSON, XML, and Databases

  • Using tFileInput, tDBInput, and tREST components

📌 Validating Extracted Data

  • Checking Null Values, Duplicates, and Data Completeness

  • Using tLogRow, tFilterRow, and tMap for Data Validation

  • Automating Record Count Matching

📅 Module 3: Data Transformation Testing

📌 Understanding Data Transformations in Talend

  • Mapping Source to Target Fields using tMap

  • Applying Business Rules & Data Cleansing

  • Using Lookups, Aggregations, and Joins

📌 Testing Transformation Logic

  • Validating String Operations, Numeric Calculations, and Date Conversions

  • Handling Slowly Changing Dimensions (SCD1, SCD2, SCD3)

  • Generating Test Data for Transformation Testing

📅 Module 4: Data Loading & Validation in DWH

📌 Loading Data into Data Warehouse

  • Writing to SQL Server, MySQL, PostgreSQL, Snowflake, and Redshift

  • Using tDBOutput, tBulkExec for Bulk Load Processing

  • Implementing Incremental & Full Load Strategies

📌 Validating Data Post-Load

  • Comparing Source vs. Target Data

  • Writing SQL Queries for Data Validation

  • Ensuring Referential Integrity & Constraints

📅 Module 5: Automating ETL Testing

📌 Using Talend for Test Automation

  • Automating Data Extraction & Comparisons

  • Writing Parameterized Jobs for Regression Testing

  • Logging & Error Handling using tWarn, tDie, and tLogCatcher

📌 CI/CD Integration with Talend

  • Scheduling Jobs using Talend Scheduler, Jenkins, or Airflow

  • Version Control with Git and SVN

📅 Module 6: Performance & Error Handling

📌 Optimizing ETL Jobs

  • Best Practices for Handling Large Data Volumes

  • Indexing & Partitioning Strategies

  • Monitoring Job Performance

📌 ETL Error Handling Techniques

  • Handling Rejected Records & Missing Data

  • Using tDie, tWarn, and tLogCatcher for Debugging

  • Exception Handling & Logging Strategies

📅 Module 7: Real-World ETL Testing Project

📌 End-to-End ETL Testing Project

  • Extracting, transforming, and loading data from multiple sources

  • Writing test cases for data validation

  • Generating Test Summary Reports

🎯 Outcome of the Course:
After completing this course, participants will be able to:
✅ Validate ETL pipelines in Talend Open Studio
✅ Test data extraction, transformation, and loading efficiently
✅ Automate ETL testing with SQL & Talend Components
✅ Optimize and troubleshoot ETL performance issues


Course Duration: 20 Hrs.
Course Fee: ₹9,500