Artículos relacionados a Hands On Google Cloud SQL and Cloud Spanner: Deployment,...
Hands On Google Cloud SQL and Cloud Spanner: Deployment, Administration and Use Cases with Python - Tapa blanda
Sinopsis
Chapter 1: Google Cloud Platform
Chapter Goal: 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 offerings
1.3 Getting started with the platform
1.4 Accessing Google Cloud Platform
Chapter 2: Cloud SQL
Chapter Goal: Introduce the readers to Google's fully managed SQL database service - CloudSQL.
Sub - Topics
2.1 Relational data model
2.2 Introduction to Cloud SQL
2.3 Getting started with CloudSQL
2.4 Provisioning a MySQL instance
2.5 Provisioning a PostgreSQL instance
Chapter 3: Working with CloudSQL
Chapter Goal: Enable users to work with CloudSQL.
Sub - Topics
3.1 Getting started with Cloud Shell
3.2 Using CloudSQL with Python
Chapter 4: Administering CloudSQL instances
Chapter Goal: 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 Backups
4.2 Replication
4.3 Security
Chapter 5: Cloud Spanner
Chapter Goal: 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 NewSQL
5.2 Introduction to Google Cloud Spanner
5.3 Origin
5.4 Spanner and CAP theorem
5.5 Best fit
Chapter 6: Cloud Spanner Explained
Chapter Goal: 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 objects
6.2 Architecture overview
6.3 Replica types
6.4 Operations
6.5 Understanding Operations with an example
Chapter 7: Working with Cloud Spanner
Chapter Goal: 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 Instance
7.2 Create database and schema7.3 Reading and writing data using Cloud Shell
7.4 Using CloudSpanner with Python
7.5 Wrap up
Chapter 8: Best Practices
Chapter Goal: Cover crucial pointers which enables the users to work the way out around the drawbacks or limitations of the offerings
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