Caching and Datagroups with LookML | #GSP893 | #qwiklabs

Looker is a modern data platform in Google Cloud that you can use to analyze and visualize your data interactively. You can use Looker to do in-depth data analysis, integrate insights across different data sources, build actionable data-driven workflows, and create custom data applications.

Looker is constantly generating SQL queries and sending them to the connected database. Whenever someone runs a query in Looker, the SQL results are cached and stored in an encrypted file on the Looker instance.

Caching leverages the saved results from previously executed queries so that the same query is not run on the database repeatedly. This helps reduce database load. Caching also helps optimize Looker performance. In this lab, you learn how caching works in Looker and explore how to use LookML datagroups to define caching policies.

Lab Link:
https://www.cloudskillsboost.google/paths/18/course_templates/651/labs/469568

Видео Caching and Datagroups with LookML | #GSP893 | #qwiklabs канала Shabnam Hamidi