Talend
0 weeks
·Live Course
Your Instructor
Sahil Goyal
Course Overview
This comprehensive Talend Data Integration course is designed to equip participants with a strong foundation in ETL (Extract, Transform, Load) processes, Business Intelligence principles, and hands-on experience using Talend Open Studio. Spread across five intensive days, the program begins with an in-depth exploration of data warehousing concepts, dimensional modeling, metadata, and BI architectures including Kimball and Inmon approaches.
Participants will then transition into mastering Talend's powerful ETL capabilities, learning how to design and execute data pipelines, work with a wide range of data sources (flat files, databases, XML, etc.), perform complex transformations, and handle errors efficiently. The course also covers advanced topics such as context variable management, data aggregation, and job orchestration.
Additionally, learners will gain exposure to Big Data technologies using Hadoop, HDFS, Hive, and Pig within Talend, enabling them to manage and transform large datasets in distributed environments. The program concludes with a real-world case study that integrates various concepts, where learners build a master sales data pipeline from multiple sources.
What you'll get out of this course
Learners will gain a strong conceptual understanding of ETL processes and the role of Business Intelligence in modern enterprises. Topics include BI architecture, data warehouse structures, metadata management, and modeling methodologies like Kimball and Inmon. This foundation enables participants to comprehend how raw data transforms into meaningful insights.
The course will enable participants to design data warehouse structures using dimensional modeling techniques. They will understand how to implement Slowly Changing Dimensions (Types 1, 2, and 3), work with Star and Snowflake schemas, and use summary tables to optimize reporting. This knowledge ensures effective data organization for scalable analytics solutions.
Participants will learn to create, run, and manage ETL jobs using Talend Open Studio. Hands-on experience includes reading and writing from flat files, XML, and databases like MySQL and Oracle. Learners will use components like tMap for data mapping, filtering, and transformation, along with metadata management to streamline job design.
Learners will explore advanced features of Talend such as context groups for job parameterization, aggregation techniques for summarizing data, and robust error-handling using built-in components. These practices promote flexible, reusable, and fault-tolerant job designs suitable for enterprise environments.
The course introduces Big Data integration through Hadoop, HDFS, Hive, and Pig connectors within Talend. Learners will also engage in a capstone case study that involves integrating multiple data sources, applying transformations, and creating master data tables. Finally, they will learn to export/import jobs and deploy them across different environments for real-world application.
Course content
Week 1
5 items
Your Instructor
Sahil Goyal
Frequently Asked Questions
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