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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

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

Continuous integration and continuous deployment (CI/CD) is a common concept for DevOps engineers, but most of the time, data engineers need to understand and be able to apply this practice to their development endeavors. This chapter will cover the necessary concepts of CI/CD and provide examples of how to apply CI/CD to our Cloud Composer example from Chapter 4, Building Orchestration for Batch Data Loading Using Cloud Composer. Upon completing this chapter, you will understand what CI/CD is, why and when it's needed in data engineering, and what GCP services are needed for it.

In this chapter, we will cover the following topics:

Introduction to CI/CD
Understanding CI/CD components with GCP services
Exercise – Implementing CI using Cloud Build
Exercise – Deploying Cloud Composer jobs using Cloud Build

Let's look at the technical requirements for the exercises in...

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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.

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