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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 learned how to use Data Studio using BigQuery as the data source. We learned how to connect the data, create charts in Explorer, and create reports for sharing the charts and information with other users. 

Through the exercises in this chapter, you have learned about not only how to create charts but also the point of view of your end users. In the exercises, you realized how important it is to create a proper data model in your datasets. Imagine if your tables didn't have proper naming conventions, weren't aggregated properly, or followed any other bad practices that can happen in a data warehouse. Since we already learned all the good data engineering practices and code from the previous chapters, it's now very easy for us to use our example tables to visualize things in Data Studio.

And lastly, as data engineers, we need to be the ones who understand and are aware of the cost implications in our data ecosystem. In this chapter...

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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