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Serverless Data Processing with Dataflow: Foundations

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.

Intermediate
42m
(5)

Created by Google Cloud

Last Updated Jan 13, 2025

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  • Course

Serverless Data Processing with Dataflow: Foundations

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.

Intermediate
42m
(5)

Created by Google Cloud

Last Updated Jan 13, 2025

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This course is included in the libraries shown below:

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  • Data
What you'll learn

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
Intermediate
42m
(5)
Table of contents

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Google Cloud - Pluralsight course - Serverless Data Processing with Dataflow: Foundations
Google Cloud
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