Hands on Google Cloud SQL and Cloud Spanner - by Navin Sabharwal & Shakuntala Gupta Edward Paperback

Book Synopsis

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.

From the Back Cover

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

About the Author

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 AzureNavin 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.