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Hands On Google Cloud SQL and Cloud Spanner: Deployment, Administration and Use Cases with Python
Chapter 1: Google Cloud PlatformChapter Enable the readers in getting started with the platform. Sub - Topics 1.1 Introduction to Google Cloud Platform (GCP)1.2 Introduction to GCPs data technologies offerings1.3 Getting started with the platform1.4 Accessing Google Cloud Platform
Chapter 2: Cloud SQLChapter Introduce the readers to Google's fully managed SQL database service - CloudSQL.Sub - Topics 2.1 Relational data model2.2 Introduction to Cloud SQL2.3 Getting started with CloudSQL 2.4 Provisioning a MySQL instance2.5 Provisioning a PostgreSQL instance
Chapter 3: Working with CloudSQLChapter Enable users to work with CloudSQL.Sub - Topics 3.1 Getting started with Cloud Shell3.2 Using CloudSQL with Python
Chapter 4: Administering CloudSQL instancesChapter Cover the administrative aspects of the database service starting from scaling, high availability, backup to security. Everything which is important from the database administration perspective a user need to be aware of. Sub - Topics 4.1 Backups4.2 Replication4.3 Security
Chapter 5: Cloud SpannerChapter Introduce the readers to the term NewSQL and then Google's very own NewSQL offerings - Cloud Spanner.Sub - Topics 5.1 What's new in NewSQL5.2 Introduction to Google Cloud Spanner5.3 Origin5.4 Spanner and CAP theorem5.5 Best fit
Chapter 6: Cloud Spanner ExplainedChapter Enable users to understand Cloud Spanner Data Model and all its important aspects such as the architectural components, replica types, read/write methodology etc. Sub - Topics 6.1 Cloud Spanner objects6.2 Architecture overview6.3 Replica types6.4 Operations6.5 Understanding Operations with an example
Chapter 7: Working with Cloud SpannerChapter Cover the creation of an instance taking a pause in understanding what happens under the hood, good to know pointers from administrative perspective, following that start working with the schema, read and write using the web console and use the instance with Python code. Sub - Topics 7.1 Create Instance7.2 Create database and schema7.3 Reading and writing data using Cloud Shell7.4 Using CloudSpanner with Python7.5 Wrap up
Chapter 8: Best PracticesChapter Cover crucial pointers which enables the users to work the way out around the drawbacks or limitations of the offerings
Chapter 2: Cloud SQLChapter Introduce the readers to Google's fully managed SQL database service - CloudSQL.Sub - Topics 2.1 Relational data model2.2 Introduction to Cloud SQL2.3 Getting started with CloudSQL 2.4 Provisioning a MySQL instance2.5 Provisioning a PostgreSQL instance
Chapter 3: Working with CloudSQLChapter Enable users to work with CloudSQL.Sub - Topics 3.1 Getting started with Cloud Shell3.2 Using CloudSQL with Python
Chapter 4: Administering CloudSQL instancesChapter Cover the administrative aspects of the database service starting from scaling, high availability, backup to security. Everything which is important from the database administration perspective a user need to be aware of. Sub - Topics 4.1 Backups4.2 Replication4.3 Security
Chapter 5: Cloud SpannerChapter Introduce the readers to the term NewSQL and then Google's very own NewSQL offerings - Cloud Spanner.Sub - Topics 5.1 What's new in NewSQL5.2 Introduction to Google Cloud Spanner5.3 Origin5.4 Spanner and CAP theorem5.5 Best fit
Chapter 6: Cloud Spanner ExplainedChapter Enable users to understand Cloud Spanner Data Model and all its important aspects such as the architectural components, replica types, read/write methodology etc. Sub - Topics 6.1 Cloud Spanner objects6.2 Architecture overview6.3 Replica types6.4 Operations6.5 Understanding Operations with an example
Chapter 7: Working with Cloud SpannerChapter Cover the creation of an instance taking a pause in understanding what happens under the hood, good to know pointers from administrative perspective, following that start working with the schema, read and write using the web console and use the instance with Python code. Sub - Topics 7.1 Create Instance7.2 Create database and schema7.3 Reading and writing data using Cloud Shell7.4 Using CloudSpanner with Python7.5 Wrap up
Chapter 8: Best PracticesChapter Cover crucial pointers which enables the users to work the way out around the drawbacks or limitations of the offerings
348 pages, Paperback
Published December 17, 2019
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