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Hands On Google Cloud SQL and Cloud Spanner: Deployment, Administration and Use Cases with Python de Navin Sabharwal

Hands On Google Cloud SQL and Cloud Spanner: Deployment, Administration and Use Cases with Python

Autor Navin Sabharwal, Shakuntala Gupta Edward
en Limba Engleză Paperback – 19 dec 2019
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. 

Sample applications are given that use Python to connect to CloudSQL and CloudSpanner, along with helpful features provided by the engines. You''ll also implement practical best practices in the last chapter. 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 interestingways.

What You'll Learn
  • 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
Who This Book Is For

Application architects, database architects, software developers, data engineers, cloud architects.


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Specificații

ISBN-13: 9781484255360
ISBN-10: 1484255364
Pagini: 331
Ilustrații: XVI, 331 p. 272 illus.
Dimensiuni: 178 x 254 mm
Greutate: 0.6 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States

Cuprins

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. 

Notă biografică

Navin Sabharwal is an innovator, thought leader, author, and consultant in the areas of AI, machine learning, cloud computing, Big Data Analytics, software product development. Responsible for IP development & service delivery in the areas of AI and machine learning, automation products, GCP, cloud computing, public cloud AWS and Microsoft Azure
Navin has created niche award-winning products and solutions and has filed numerous patents in diverse fields such as IT services, assessment engines, ranking algorithms, capacity planning engines, and knowledge management. 

Shakuntala Gupta Edward is an accomplished consultant in areas of data and analytics with 16 years of experience. Shakuntala is a Big Data architect and is responsible for database design, database architecture, best practices for big data technologies, product development using database, Big Data, NOSQL, analytics and machine learning technologies. 

Textul de pe ultima copertă

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 GCPdata 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

Caracteristici

Architectural guidance on CloudSQL and CloudSpanner for application architects to choose the right solution Offers in-depth coverage of deployment, administration and use cases for CloudSQL and CloudSpanner Provides application code to connect and use CloudSQL and Cloud Spanner