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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

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781835080115
Length 476 pages
Edition 2nd 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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Table of Contents (19) Chapters Close

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 18. 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 12.1 – The CI/CD steps and the GCP services involved

Figure 12.1 – 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 a Cloud Source Repository. Later, in the Exercise – implementing CI 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 with the 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, GCP...
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