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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

Understanding CI/CD components with GCP services

There are some steps in the CI/CD practice. Each step may involve different tools or GCP services. To understand this concept better, let's take a look at the following diagram:

Figure 11.1 – The CI/CD steps and the GCP services involved

The diagram shows the high-level steps of a complete CI/CD. At each step, there is a corresponding GCP service that can handle that step. For example, the first step is Source Code. In GCP, you can create a GitHub repository using a service called Cloud Source Repository. Later, in the Exercise – implementing continuous integration using Cloud Build section, we will learn how to create one. For now, let's understand the steps and what GCP services are involved:

  1. The CI process starts from Source Code. This Source Code should always be managed in a GitHub repository. It can be in GitHub, GitLab, or any other Git provider. As we mentioned previously...
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