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
Instructor: Google Cloud Training
Sponsored by Google People Development
(13 reviews)
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.
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