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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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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 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. 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

User and Project Management in GCP

In this chapter, we will learn how to design and structure users and projects in Google Cloud Platform (GCP). By understanding user and project management in GCP, you will learn how to turn a development solution into a production-ready one.

In a production-ready solution, it’s very important to manage security by only allowing access to the right users. However, to do it efficiently, we need to understand the principle and strategy.

Managing production-ready solutions is almost impossible without understanding how a GCP project works. Understanding how to design GCP projects is another important aspect of an efficient solution.

In addition, this chapter will also include an example approach to provision GCP’s services automatically using an infrastructure-building tool, Terraform.

Specifically, in this chapter, we will cover the following topics:

  • Understanding Identity and Access Management (IAM) in GCP
  • Planning...
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