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Google Cloud Platform Cookbook

You're reading from   Google Cloud Platform Cookbook Implement, deploy, maintain, and migrate applications on Google Cloud Platform

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788291996
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Legorie Rajan PS Legorie Rajan PS
Author Profile Icon Legorie Rajan PS
Legorie Rajan PS
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Toc

Table of Contents (9) Chapters Close

Preface 1. Compute 2. Storage and Databases FREE CHAPTER 3. Networking 4. Security 5. Machine Learning and Big Data 6. Management Tools 7. Best Practices 8. Other Books You May Enjoy

Introduction

In this chapter, we'll discover some use cases for Google's Cloud Storage offerings. Storage is one of the main pillars of any workload to be hosted on Google Cloud Platform (GCP). GCP offers various options for data to be stored. The nature of the data, nature of the workload, scalability and latency needs to dictate the choice of the storage. We'll cover a few examples on Google Storage, Cloud Spanner, Cloud Bigtable, BigQuery and Cloud Datastore.

In addition to Node.js, we'll use Python for a few recipes in this chapter.

The following page is a wonderful guide for choosing a storage option for your particular workload https://cloud.google.com/storage-options/.
You have been reading a chapter from
Google Cloud Platform Cookbook
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788291996
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