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Google Cloud Platform for Architects

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

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788834308
Length 372 pages
Edition 1st Edition
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Authors (3):
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Loonycorn Ravi Loonycorn Ravi
Author Profile Icon Loonycorn Ravi
Loonycorn Ravi
Judy Raj Judy Raj
Author Profile Icon Judy Raj
Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Toc

Table of Contents (19) Chapters Close

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

Cloud Bigtable

Cloud Bigtable is Google's NoSQL wide-column database service similar in use case to Hadoop's HBase. It serves as the database that powers many core Google services such as Search, Analytics, Maps, and Gmail. It is a compressed, high performance, and proprietary data storage system built on top of a few Google technologies such as the Google File System, Chubby Lock Service, and SSTable.

Google describes Bigtable as a sparsely populated table that can scale to billions of rows and thousands of columns. Bigtable was designed to support applications requiring massive scalability and was intended to be used with petabytes of data. The database was designed to be deployed on clustered systems and uses a simple data model, which is the wide column store.

Data is assembled in order by row key, which is a single value in each row, and indexing of the map is arranged...

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