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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

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

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

As a data engineer, it would be great if you could 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:

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

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