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.

Cloud Spanner - Defining Schemas and Understanding Query Plans
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Cloud Spanner - Defining Schemas and Understanding Query Plans

Instructor: Google Cloud Training
Included with
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What you'll learn
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.
Skills you'll practice
Tools you'll use
Details to know

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How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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