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Hands on Google Cloud SQL and Cloud ...

Sabharwal, Navin.

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Hands on Google Cloud SQL and Cloud Spanner = deployment, administration and use cases with Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hands on Google Cloud SQL and Cloud Spanner/ by Navin Sabharwal, Shakuntala Gupta Edward.
Reminder of title:	deployment, administration and use cases with Python /
Author:	Sabharwal, Navin.
other author:	Edward, Shakuntala Gupta.
Published:	Berkeley, CA :Apress : : 2020.,
Description:	xvi, 331 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: Google Cloud Platform -- Chapter 2: Cloud SQL -- Chapter 3: Working with CloudSQL -- Chapter 4: Administering CloudSQL instances -- Chapter 5: Cloud Spanner -- Chapter 6: Cloud Spanner Explained -- Chapter 7: Working with Cloud Spanner -- Chapter 8: Best Practices.
Contained By:	Springer eBooks
Subject:	Relational databases. -
Online resource:	https://doi.org/10.1007/978-1-4842-5537-7
ISBN:	9781484255377

Hands on Google Cloud SQL and Cloud Spanner = deployment, administration and use cases with Python /
Sabharwal, Navin.

Hands on Google Cloud SQL and Cloud Spannerdeployment, administration and use cases with Python /[electronic resource] :by Navin Sabharwal, Shakuntala Gupta Edward. - Berkeley, CA :Apress :2020. - xvi, 331 p. :ill., digital ;24 cm.

Chapter 1: Google Cloud Platform -- Chapter 2: Cloud SQL -- Chapter 3: Working with CloudSQL -- Chapter 4: Administering CloudSQL instances -- Chapter 5: Cloud Spanner -- Chapter 6: Cloud Spanner Explained -- Chapter 7: Working with Cloud Spanner -- Chapter 8: Best Practices.

Discover the methodologies and best practices for getting started with Google Cloud Platform relational services - CloudSQL and CloudSpanner. The book begins with the basics of working with the Google Cloud Platform along with an introduction to the database technologies available for developers from Google Cloud. You'll then take an in-depth hands on journey into Google CloudSQL and CloudSpanner, including choosing the right platform for your application needs, planning, provisioning, designing and developing your application. The book provides sample applications using Python to connect to CloudSQL and CloudSpanner, and uses features provided by the engines. Practical best practices are provided for implementation in the last chapter. which allow you to try out the examples and extend them in interesting ways. Hands On Google Cloud SQL and Cloud Spanner is a great starting point to apply GCP data offerings in your technology stack and the code used allows you to try out the examples and extend them in interesting ways. You will: Get started with Big Data technologies on the Google Cloud Platform Review CloudSQL and Cloud Spanner from basics to administration Apply best practices and use Google's CloudSQL and CloudSpanner offering Work with code in Python notebooks and scripts.

ISBN: 9781484255377

Standard No.: 10.1007/978-1-4842-5537-7doiSubjects--Topical Terms:

539565
Relational databases.

LC Class. No.: QA76.9.D3 / S234 2020

Dewey Class. No.: 005.756

Hands on Google Cloud SQL and Cloud Spanner = deployment, administration and use cases with Python /
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245 1 0 $a Hands on Google Cloud SQL and Cloud Spanner $h [electronic resource] : $b deployment, administration and use cases with Python / $c by Navin Sabharwal, Shakuntala Gupta Edward.
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505 0 $a Chapter 1: Google Cloud Platform -- Chapter 2: Cloud SQL -- Chapter 3: Working with CloudSQL -- Chapter 4: Administering CloudSQL instances -- Chapter 5: Cloud Spanner -- Chapter 6: Cloud Spanner Explained -- Chapter 7: Working with Cloud Spanner -- Chapter 8: Best Practices.
520 $a Discover the methodologies and best practices for getting started with Google Cloud Platform relational services - CloudSQL and CloudSpanner. The book begins with the basics of working with the Google Cloud Platform along with an introduction to the database technologies available for developers from Google Cloud. You'll then take an in-depth hands on journey into Google CloudSQL and CloudSpanner, including choosing the right platform for your application needs, planning, provisioning, designing and developing your application. The book provides sample applications using Python to connect to CloudSQL and CloudSpanner, and uses features provided by the engines. Practical best practices are provided for implementation in the last chapter. which allow you to try out the examples and extend them in interesting ways. Hands On Google Cloud SQL and Cloud Spanner is a great starting point to apply GCP data offerings in your technology stack and the code used allows you to try out the examples and extend them in interesting ways. You will: Get started with Big Data technologies on the Google Cloud Platform Review CloudSQL and Cloud Spanner from basics to administration Apply best practices and use Google's CloudSQL and CloudSpanner offering Work with code in Python notebooks and scripts.
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