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Talend : Data Integration Developer Course Overview

Talend : Data Integration Developer Course Overview

The Talend Data Integration Developer course is a comprehensive training program designed to equip learners with the skills and knowledge required to effectively use Talend Open Studio for Data Integration. This course covers a wide range of topics, from basic operations to advanced techniques, ensuring participants can handle real-world data integration challenges.

Module 1 introduces participants to the essentials, including how to get started with the software, manipulate files, interact with databases, utilize repository metadata, and process data effectively.

Module 2 delves deeper, exploring how to manage contexts and variables, build executables and Docker images, control job execution, and handle errors.

Module 3 focuses on integrating web services, creating a master sales table from various data sources, connecting to remote repositories, and leveraging SVN for version control.

Finally, Module 4 tackles advanced topics such as remote job execution, resource management, debugging, the Activity Monitoring Console (AMC), parallel processing, joblets, unit testing, and implementing change data capture.

Through these modules, learners will gain hands-on experience and practical insights that will empower them to become proficient Talend Data Integration developers, laying the foundation for successful careers in data integration and management.

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Target Audience for Talend : Data Integration Developer

The "Talend: Data Integration Developer" course is designed for professionals seeking to master Data Processing and integration using Talend.


  • Data Integration Developers
  • ETL Developers
  • Business Intelligence Professionals
  • Data Analysts
  • Data Architects
  • Database Administrators
  • Data Engineers
  • IT Consultants specializing in data projects
  • Software Engineers looking to diversify into data integration
  • System Integrators
  • Technical Project Managers overseeing data projects


Learning Objectives - What you will Learn in this Talend : Data Integration Developer?

Brief Introduction to Course Learning Outcomes and Concepts Covered

The Talend Data Integration Developer course equips learners with the skills to effectively use Talend for data integration tasks, enabling them to transform, move, and synchronize data across various systems and formats.

Learning Objectives and Outcomes

  • Understanding Talend Data Integration: Gain foundational knowledge of Talend Studio and its environment for designing data integration processes.
  • File Processing: Learn to manipulate files using Talend, including reading from and writing to different file formats.
  • Database Integration: Acquire skills in connecting to databases, performing CRUD operations, and managing database connections through Talend.
  • Repository Metadata Management: Understand how to leverage repository metadata to streamline development and enhance maintainability.
  • Data Transformation: Develop proficiency in processing and transforming data using Talend components and connectors.
  • Context Variables Usage: Master the use of context variables to parameterize jobs, facilitating flexible and dynamic job configuration.
  • Building and Deployment: Learn to build executables and Docker images from data integration jobs and deploy them for production use.
  • Execution Control and Error Handling: Gain expertise in controlling job execution flows and implementing robust error handling mechanisms.
  • Web Services and Remote Connectivity: Learn to interact with web services and set up connections with remote repositories for collaborative development.
  • Advanced Techniques: Explore advanced topics such as remote job execution, resource monitoring, parallel execution, joblets, Unit Testing, and change data capture to optimize and ensure the reliability of data integration jobs.

By completing this course, students will be able to design, develop, test, and deploy Talend data integration solutions, addressing real-world data management challenges.

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