Cloud Spanner - Defining Schemas and Understanding Query Plans

In this Project, you will:

Load data into tables. Use pre-defined Python client library code to load data.

Query data with client libraries. Make updates to the database schema.

Add a Secondary Index.

Examine Query plans.

1.5 hours
Beginner
No download needed
Shareable certificate
English
Desktop only

This is a self-paced lab that takes place in the Google Cloud console. In this lab you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.

Skills you will develop

  • Database (DBMS)

  • Data Management

  • Google Cloud Platform

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Google Cloud

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