Hands On Google Cloud SQL and Cloud Spanner

1. Front Matter

   Pages i-xvi

   PDF

2. Getting Started with GCP

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 1-26

3. Cloud SQL

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 27-55

4. Working with CloudSQL

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 57-128

5. Administering CloudSQL

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 129-183

6. Cloud Spanner

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 185-193

7. Cloud Spanner Explained

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 195-228

8. Getting Started with Spanner

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 229-312

9. Best Practices

   • Navin Sabharwal, Shakuntala Gupta Edward

   Pages 313-324

10. Back Matter

    Pages 325-331

    PDF

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.

• Google Cloud Platform
• Cloud SQL
• Cloud Spanner
• MySQL
• PostgreSQL
• Cloud Shell

• New Delhi, India

  Navin Sabharwal

• Ghaziabad, India

  Shakuntala Gupta Edward

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. 

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