Data Integration & ETL with Talend Open Studio: Zero to Hero

Add value to your data - with Talend Open Studio for Data Integration, ETL, Data Warehouse DWH, Business Intelligence BI

4.51 (1753 reviews)

Udemy

platform

English

language

Development Tools

What you will learn

Connect to Various Data Sources: Integrate files, databases, XML, web services, Google Drive, and more with different data formats in real-world scenarios.

Build Data Integration Processes: Design and implement end-to-end workflows using practical examples and case studies to solidify your skills.

Master Key Data Transformations: Learn core transformations like mapping, joins, aggregations, and sorting to clean and manipulate data efficiently.

Orchestrate Data Processes: Use preJobs, postJobs, variables, and hierarchies to combine processes into scalable, maintainable workflows.

Course Gallery

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Data Integration & ETL with Talend Open Studio: Zero to Hero – Screenshot 2 — Screenshot 2 – Data Integration & ETL with Talend Open Studio: Zero to Hero

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Data Integration & ETL with Talend Open Studio: Zero to Hero – Screenshot 4 — Screenshot 4 – Data Integration & ETL with Talend Open Studio: Zero to Hero

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Rating & Reviews

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Comidoc Review

Our Verdict

Talend Open Studio for Data Integration, ETL, Data Warehouse DWH, Business Intelligence BI is a comprehensive course aiming to provide hands-on experience in mastering this powerful tool. With its blend of theoretical and practical knowledge across various real-world scenarios, the course has proved helpful for learners with prior ETL backgrounds. However, some users have expressed concerns around the fast speech pace and inconsistent explanations. Therefore, those new to data integration tools might wish to explore additional resources or courses simultaneously, while gaining a firm grasp of prerequisite concepts before diving into this.\n

What We Liked

Covers a wide range of practical examples and case studies for connecting to various data sources using Talend Open Studio.
In-depth explanations and demonstrations of key data transformations such as mapping, joins, aggregations, and sorting.
The course is well-structured with a good pace, making it easy to follow along.

Potential Drawbacks

Explanations could be more thorough regarding the big picture and real-world use cases.
Some users found the instructor's speech to be fast and delivery broken which made following along challenging.
A few instances where pre-made jobs were demonstrated without clear explanations of processes leading up to them.