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Data Engineering with Google Cloud Platform

You're reading from Data Engineering with Google Cloud Platform

Product type Book

Published in Mar 2022

Publisher Packt

ISBN-13 9781800561328

Pages 440 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Adi Wijaya

Table of Contents (17) Chapters

Preface

1. Section 1: Getting Started with Data Engineering with GCP

2. Chapter 1: Fundamentals of Data Engineering

3. Chapter 2: Big Data Capabilities on GCP

4. Section 2: Building Solutions with GCP Components

5. Chapter 3: Building a Data Warehouse in BigQuery

6. Chapter 4: Building Orchestration 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 for Making Data-Driven Decisions with Data Studio

10. Chapter 8: Building Machine Learning Solutions on Google Cloud Platform

11. Section 3: Key Strategies for Architecting Top-Notch Data Pipelines

12. Chapter 9: User and Project Management in GCP

13. Chapter 10: Cost Strategy in GCP

14. Chapter 11: CI/CD on Google Cloud Platform for Data Engineers

15. Chapter 12: Boosting Your Confidence as a Data Engineer

16. Other Books You May Enjoy

Technical requirements

In this chapter's exercises, we will use the following GCP services:

IAM
BigQuery
Google Cloud Storage (GCS)
Data Catalog

If you've never opened any of these services in your GCP console before, open them and enable the Application Programming Interface (API). We will also use an open source software called Terraform. It's downloadable from their public website at https://www.terraform.io/downloads.html. The step-by-step installation will be discussed in the Exercise – creating and running basic Terraform scripts section.

Make sure you have your GCP console, Cloud Shell, and Cloud Shell Editor ready.

Download the example code and the dataset here: https://github.com/PacktPublishing/Data-Engineering-with-Google-Cloud-Platform/tree/main/chapter-9/code.

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Authors (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.

See other products by Adi Wijaya

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