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You're reading from Google Cloud Platform for Architects Design and manage powerful cloud solutions

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788834308

Length 372 pages

Edition 1st Edition

Tools

Google Cloud Platform

Concepts

Cloud Computing

Authors (3):

Loonycorn Ravi

Judy Raj

Vitthal Srinivasan

View More author details

Table of Contents (19) Chapters

Preface

1. The Case for Cloud Computing FREE CHAPTER

2. Introduction to Google Cloud Platform

3. Compute Choices – VMs and the Google Compute Engine

4. GKE, App Engine, and Cloud Functions

5. Google Cloud Storage – Fishing in a Bucket

6. Relational Databases

7. NoSQL Databases

8. BigQuery

9. Identity and Access Management

10. Managing Hadoop with Dataproc

11. Load Balancing

12. Networking in GCP

13. Logging and Monitoring

14. Infrastructure Automation

15. Security on the GCP

16. Pricing Considerations

17. Effective Use of the GCP

18. Other Books You May Enjoy

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Summary

This chapter explores the two main NoSQL database services from Google Cloud Platform:

Bigtable
Datastore

Bigtable is optimized for fast scans: range queries or select all queries along a single column, and with very large datasets, on the order of petabytes in size. Datastore, on the other hand, is meant for far smaller data, on the order of terabytes, where the use case involves fast lookups independent of dataset size.

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Authors (3)

Judy Raj

Judy Raj is a Google Certified Professional Cloud Architect, and she has great experience with the three leading cloud platforms, namely AWS, Azure, and the GCP. She has also worked with a wide range of technologies in machine learning, data science, IoT, robotics, and mobile and web app development. She is currently a technical content engineer in Loonycorn. She holds a degree in computer science and engineering from Cochin University of Science and Technology. Being a driven engineer fascinated with technology, she is a passionate coder, an AI enthusiast, and a cloud aficionado.

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Loonycorn Ravi

Janani Ravi is a certified Google Cloud Architect and Data Engineer. She has earned her master's degree in electrical engineering from Stanford. She is currently in Loonycorn, a technical video content studio, of which she is a cofounder. Prior to co-founding Loonycorn, she worked at various leading companies, such as Google and Microsoft, for several years as a software engineer.

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Vitthal Srinivasan

Vitthal Srinivasan is a Google Cloud Platform Authorized Trainer and certified Google Cloud Architect and Data Engineer. Vitthal holds master's degrees in math and electrical engineering from Stanford and an MBA from INSEAD. He has worked at Google as well as at other large firms, such as Credit Suisse and Flipkart. He is currently in Loonycorn, a technical video content studio, of which he is a cofounder.

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