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Data Engineering with Google Cloud Platform

Data Engineering with Google Cloud Platform - Second Edition

By : Adi Wijaya
4.5 (6)
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Data Engineering with Google Cloud Platform

Data Engineering with Google Cloud Platform

4.5 (6)
By: Adi Wijaya

Overview of this book

The second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.
Table of Contents (19 chapters)
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1
Part 1: Getting Started with Data Engineering with GCP
4
Part 2: Build Solutions with GCP Components
11
Part 3: Key Strategies for Architecting Top-Notch Solutions

Big Data Capabilities on GCP

When people first dive into Google Cloud Platform (GCP), it’s common for them to find themselves amid a wealth of exciting products and services. Yet, this excitement can occasionally give way to a sense of being overwhelmed.

GCP offers a broad range of services for multiple disciplines, such as application development, microservices, security, AI, and of course, big data. But even for big data products, there are multiple options from which you can choose.

As an analogy, GCP is like a supermarket. A supermarket has everything that you need to support your daily life. For example, if you plan to cook pasta and come to a supermarket to buy the ingredients, no one will tell you what ingredients you should buy; or even if you know which ingredients you want to buy, you will still be offered the ingredients by different brands, price tags, and producers. If you fail to make the right decision, you will end up cooking bad pasta. In GCP, it’...

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Data Engineering with Google Cloud Platform
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