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

Author (1)

Adi Wijaya

Boosting your confidence and final thoughts

One thing that I hope you have after reading this book is more confidence – the confidence to design and develop a data pipeline and, more importantly, the confidence as a data engineer using Google Cloud Platform.

I will quote the definition of the word confidence from the physiological aspect by the American Psychological Association:

"Confidence is Self-assurance: trust in one's abilities, capacities, and judgment."

By following all the chapters throughout the book, you've learned about the important GCP services related to Data Engineering and tried them out in your environment by completing the hands-on exercises provided. You've tried 19 new technologies from GCP, including BigQuery, Google Cloud Storage, Cloud Composer, DataProc, DataFlow, Pub/Sub, CloudSQL, Google Data Studio, Vertex AI pipeline, Vision AI, Translate AI, AutoML, IAM, Cloud Shell, Cloud Editor, Cloud Build, Google Container...

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Data Engineering with Google Cloud Platform

Published in: Mar 2022Publisher: PacktISBN-13: 9781800561328

Author (1)

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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