This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
Serverless Data Processing with Dataflow: Foundations
Serverless Data Processing with Dataflow: Foundations
This course is part of multiple programs.
Instructor: Google Cloud Training
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Gain insight into a topic and learn the fundamentals.
94 reviews
Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace
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Assessments
4 assignments
Taught in English
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There are 6 modules in this course
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Showing 3 of 94
GB
Reviewed on Mar 13, 2022
Was mistaken about the objective of this course, its actually a very good basis, just would refine the qwiklabs challenges, its mostly an cook recipe
ZP
Reviewed on Jul 29, 2024
Very useful to know. I found this course very interesting.
RR
Reviewed on Jun 12, 2022
Lab is relatively scarce in relation to many concepts introduced in this course. More labs should be designed to help learners internalise the knowledge.
