Data Engineering with Google Cloud Platform

By Adi Widjaja
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About this book

With this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards.

Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc.

The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI platform, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP.

By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP.

Publication date:
March 2022
Publisher
Packt
Pages
404
ISBN
9781800561328

About the Author

  • Adi Widjaja

    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 has dedicated himself to Big Data and Analytics and has spent a good chunk of his career helping global companies in different industries.

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Data Engineering with Google Cloud Platform
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