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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

Estimating the cost of your end-to-end data solution in GCP

While trying out the exercises in this book, we've briefly discussed the cost that might be incurred when using various GCP services. You may have already been billed by some of the resources, so you may be wondering, "How much will it cost in a full production system?" This question is important and is often asked by stakeholders. 

As a data engineer, it will be great if you can estimate the end-to-end data solution cost upfront. To estimate the cost in GCP, first, we need to understand that not all GCP services use the same pricing calculation. 

Note

The pricing model that's described in this book is based on the latest information at the time of writing. Google Cloud can change the pricing model for any service at any time.

There are three types of pricing models:

  • Machine (VM)-based: There are GCP resources that are billed with the machines. The bills that are generated...
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