Google Cloud
Developing Data Models with LookML (GC-DDM-LOOK)
Model data for self-service analytics in Looker.
1 dayIntermediate1 modules
About this course
Model data for self-service analytics in Looker. In one day you will learn LookML building blocks, model dimensions and measures, build explores and derived tables, and assemble executive dashboards.
What you'll learn
- Define LookML basic terms and building blocks
- Model new dimensions and measures using LookML
- Use dashboards to combine key queries and visualizations into a one page executive view
- Model files of LookML projects to design and build custom Explores for business users
- Use derived tables in Looker to create new custom tables that do not yet exist in the underlying database.
- Articulate how caching works in Looker and how developers can use datagroups to manage caching policies.
Curriculum
1 modules
- Introducing Looker and LookML
- Data Modeling Using LookML
- Modeling Explores for Your Users
- Working with Derived Tables
- Course Resources
Who it's for
Data analysts and BI developers using Looker.
Before you start
- To get the most out of this course, participants should have a basic understanding of SQL, Git, and the Looker business user experience. For learners with no previous experience as data explorers in Looker, it is recommended to first complete Analyzing and Visualizing Data in Looker.
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