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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
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Author (1)
Adi Wijaya
Adi Wijaya
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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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Summary

In this chapter, we've gone through a lot of practice in terms of how to use BigQuery to build a data warehouse. In general, we've covered the three main aspects of how to use the tools, how to load the data to BigQuery, and the data modeling aspect of a data warehouse.

By following all the steps in this chapter, you will have a better understanding of the data life cycle and you will understand that data moves from place to place. We also practiced the ELT process in this chapter, extracting data from the MySQL database, loading it to BigQuery, and doing some transformations to answer business questions. And on top of that, we did it all on a fully managed service in the cloud, spending zero time worrying about any infrastructure aspects.

By way of a footnote for this chapter, I want to remind you that, even though we have covered the common practice of using BigQuery, we haven't covered all of its features. There are a lot of other features in BigQuery...

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Data Engineering with Google Cloud Platform
Published in: Mar 2022Publisher: PacktISBN-13: 9781800561328

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