Google Cloud Dataflow

Intermediate
6m 37s
24
5/5

Are you interested in harnessing the power of serverless data processing?  In this lesson, you will learn how to code your own data pipeline using Apache Beam, and then run it on Google Cloud Dataflow. 

Learning Objectives 

  • What a data pipeline is 

  • How to deploy a pre-built pipeline to Dataflow using a template 

  • How to build your own custom data pipeline 

  • How to deploy a custom pipeline to Dataflow using Apache Beam 

Intended Audience 

  • Data Professionals 

  • Machine Learning Engineers 

  • Cloud Developers 

  • Anyone preparing for a Google Cloud certification 

Prerequisites 

  • Access to a GCP account 

About the Author
Avatar
Daniel Mease, opens in a new tab
Google Cloud Content Creator
Students
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Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.

Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.

When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.

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