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You're reading from  Data Engineering with Google Cloud Platform

Product typeBook
Published inMar 2022
Reading LevelBeginner
PublisherPackt
ISBN-139781800561328
Edition1st Edition
Languages
Python
Tools
Google Cloud Platform
Concepts
Data Analysis
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Author (1)
Adi Wijaya
Adi Wijaya
author image
Adi Wijaya

Adi Widjaja is a strategic cloud data engineer at Google. He holds a bachelor's degree in computer science from Binus University and co-founded DataLabs in Indonesia. Currently, he dedicates himself to big data and analytics and has spent a good chunk of his career helping global companies in different industries.
Read more about Adi Wijaya

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Technical requirements

Before we begin the chapter, make sure you have the following prerequisites ready.

In this chapter's exercises, we will use these GCP services: Dataproc, GCS, BigQuery, and Cloud Composer. If you never open any of these services in your GCP console, open it and enable the API.

Make sure you have your GCP console, Cloud Shell, and Cloud Shell Editor ready.

Download the example code and the dataset here: https://github.com/PacktPublishing/Data-Engineering-with-Google-Cloud-Platform/tree/main/chapter-5.

Be aware of the cost that might occur from Dataproc and the Cloud Composer cluster. Make sure you delete all the environments after the exercises to prevent any unexpected costs.

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Data Engineering with Google Cloud Platform
Published in: Mar 2022Publisher: PacktISBN-13: 9781800561328
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Adi Wijaya

Adi Widjaja is a strategic cloud data engineer at Google. He holds a bachelor's degree in computer science from Binus University and co-founded DataLabs in Indonesia. Currently, he dedicates himself to big data and analytics and has spent a good chunk of his career helping global companies in different industries.
Read more about Adi Wijaya

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