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Data Engineering with Google Cloud Platform

You're reading from Data Engineering with Google Cloud Platform A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud

Product type Paperback

Published in Apr 2024

Publisher Packt

ISBN-13 9781835080115

Length 476 pages

Edition 2nd Edition

Languages

SQL

Tools

Google Cloud Platform

Concepts

Data Engineering

Author (1):

Adi Wijaya

View More author details

Table of Contents (19) Chapters

Preface

1. Part 1: Getting Started with Data Engineering with GCP FREE CHAPTER

2. Chapter 1: Fundamentals of Data Engineering

3. Chapter 2: Big Data Capabilities on GCP

4. Part 2: Build Solutions with GCP Components

5. Chapter 3: Building a Data Warehouse in BigQuery

6. Chapter 4: Building Workflows for Batch Data Loading Using Cloud Composer

7. Chapter 5: Building a Data Lake Using Dataproc

8. Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow

9. Chapter 7: Visualizing Data to Make Data-Driven Decisions with Looker Studio

10. Chapter 8: Building Machine Learning Solutions on GCP

11. Part 3: Key Strategies for Architecting Top-Notch Solutions

12. Chapter 9: User and Project Management in GCP

13. Chapter 10: Data Governance in GCP

14. Chapter 11: Cost Strategy in GCP

15. Chapter 12: CI/CD on GCP for Data Engineers

16. Chapter 13: Boosting Your Confidence as a Data Engineer

17. Index

Why subscribe?

18. Other Books You May Enjoy

Technical requirements

For this chapter’s exercises, we will use the following GCP services:

Cloud Build
Google Cloud Repositories
Google Container Registry
Cloud Composer (optionally)

If you have never opened any of these services in your GCP console, open them and enable the necessary APIs. Make sure that you have your GCP console, Cloud Shell, and Cloud Editor ready.

You can download the example code and the dataset for this chapter here: https://github.com/PacktPublishing/Data-Engineering-with-Google-Cloud-Platform-Second-Edition/tree/main/chapter-12/code.

The rest of the chapter is locked

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Authors (1)

Adi Wijaya

Adi Wijaya

Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google. Adi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. He's deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives.

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