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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

Section 3: Key Strategies for Architecting Top-Notch Data Pipelines

The final part of this book will talk about anything on top of how to use the products. A good data engineer not only knows how to develop a solution, but also decides important aspects outside the solution itself; for example, creating a GCP project is easy, but how many projects should you create? What is the purpose of the projects? Should I assign one or multiple users to the project? Those are just a few of the many important questions to be considered and decided in order to build top-notch solutions for an organization.

This will include the thought process behind how to decide user and project structures, how to estimate the cost of the solutions, and how to make sure the development can be tested and deployed automatically using the CI/CD concept. Finally, if you have followed all the learning chapters, you should have acquired a lot of in-depth technical knowledge, and in the final chapter, we will review...

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