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  • Book Overview & Buying Data Engineering with Google Cloud Platform
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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
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4
Part 2: Build Solutions with GCP Components
11
Part 3: Key Strategies for Architecting Top-Notch Solutions

Part 1: Getting Started with Data Engineering with GCP

This part will talk about the purpose, value, and concepts of big data and cloud computing and how Google Cloud platform (GCP) products are relevant for data engineering. You will learn about a data engineer’s core responsibilities, how they differ from data scientists, and how to facilitate the flow of data through an organization to derive insights.

This part has the following chapters:

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83
Tech Concepts
36
Programming languages
73
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Data Engineering with Google Cloud Platform
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