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Data Engineering with Google Cloud Platform

You're reading from   Data Engineering with Google Cloud Platform A practical guide to operationalizing scalable data analytics systems on GCP

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800561328
Length 440 pages
Edition 1st Edition
Languages
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Author (1):
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Adi Wijaya Adi Wijaya
Author Profile Icon Adi Wijaya
Adi Wijaya
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Getting Started with Data Engineering with GCP
2. Chapter 1: Fundamentals of Data Engineering FREE CHAPTER 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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