Talend ETL: Design, Optimize & Apply Workflows

Overview

By the end of this course, learners will be able to design ETL workflows in Talend, manage metadata for consistency, integrate multiple data sources, apply custom Java logic, and optimize jobs with filters, child jobs, and logging. The course equips learners to analyze business problems, implement data pipelines, and document workflows for collaboration and scalability. This project-based course begins with Talend fundamentals, introducing components, job creation, and routines. Learners then apply their skills to a real-world Credit Card Transactions case study, importing Excel data, storing it in SQLite, and extending functionality with Java. The course concludes with an Operations Optimization project, where learners design advanced workflows, filter records, modularize jobs, and monitor performance through logging. Unlike generic tutorials, this course combines hands-on projects with real-world datasets to build both technical skills and problem-solving confidence. Whether you are a data engineer, ETL developer, or analytics professional, this course will help you apply, optimize, and document Talend workflows effectively, preparing you for enterprise-level data integration challenges.

Syllabus

Talend Basics and Job Creation

This module introduces learners to the fundamentals of Talend, including its interface, features, job creation, metadata management, and reusable routines. Learners will gain a solid foundation in building ETL workflows, understanding Talend components, and extending functionality with Java-based routines.

Credit Card Transactions Project

This module applies Talend concepts to a real-world credit card transactions case study. Learners will define the problem statement, integrate Excel as a data source, store records in SQLite, and enhance workflows with custom Java logic to meet business requirements.

Retail Operations and Optimization

This module explores advanced job design and optimization in retail operations. Learners will design jobs, create documentation, use filters, modularize workflows with child jobs, and apply logging components to enhance reliability and maintainability of ETL processes.