Talend Data Integration: Build & Automate Workflows

Overview

Learners will be able to install Talend Data Integration Studio, create and execute jobs, connect to databases, filter data, and implement advanced components like TMap, TJoin, and TFilter to solve real-world ETL challenges. This beginner-friendly course provides a step-by-step journey from setup to advanced data integration workflows. By completing the course, learners will gain practical, hands-on experience in managing data from multiple sources, applying best practices in job design, and building efficient workflows for database operations. Each module is designed to build confidence progressively—from simple “Hello World” jobs to complex transformations—ensuring learners master both foundational and advanced concepts. What makes this course unique is its clear structure, project-based demonstrations, and a focus on real-world use cases that bridge theory with practice. Learners will not only understand Talend’s core components but also be able to apply them in professional scenarios, making them job-ready for ETL and data integration roles.

Syllabus

Getting Started with Talend Studio

This module introduces learners to Talend Data Integration Studio and guides them through essential setup tasks. Learners will download and install the open-source edition, create their first project, and understand job design basics. The module emphasizes best practices for naming, versioning, and running simple jobs, building a strong foundation for further learning.

Data Handling and Database Integration

This module focuses on working with diverse data sources and integrating databases into Talend workflows. Learners will practice filtering data, reading from files, connecting to MySQL databases, and applying best practices in data integration. The emphasis is on hands-on data handling skills essential for building efficient ETL processes.

Advanced Components and Use Cases

This module introduces advanced Talend components like TMap, TJoin, and TFilter, along with real-world use cases. Learners will gain skills in database operations, complex data transformations, and combining datasets for ETL solutions. The module concludes with practical scenarios that prepare learners to solve real-world data integration challenges.