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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
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Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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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

Creating and operating an HBase table using Cloud Bigtable

You can use the create command to create an employee table, and within it we will add a column family: personal. As Bigtable is a columnar store where all columns are logically grouped into column families, a table should have at least one column family.

Running the list command now should confirm that exactly one table, the employee, table has been set up, as shown here:

  1. To insert our first row into this table, we will need to specify a row key, the column family, and the name of the column where this insert should occur. The row key uniquely identifies a row and is used to index all the columns and column values that are present in one row. It is this index row key that allows very fast lookup operations and quick scan operations in HBase and Bigtable. When we insert a value in a particular row we need to specify....
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