1.

Record Nr.

UNINA9910369902003321

Autore

Sabharwal Navin

Titolo

Hands On Google Cloud SQL and Cloud Spanner : Deployment, Administration and Use Cases with Python / / by Navin Sabharwal, Shakuntala Gupta Edward

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020

ISBN

9781484255377

1484255372

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (342 pages)

Disciplina

005.7585

Soggetti

Application software

Python (Computer program language)

Open source software

Computer and Information Systems Applications

Python

Open Source

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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. .

Sommario/riassunto

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.