- Define LookML basic terms and building blocks
- Use the Looker Integrated Development Environment (IDE) and project version control to modify LookML projects
- Create dimensions and measures to curate data attributes used by business users
- Create and design Explores to make data accessible to business users
- Use derived tables to instantaneously create new tables
- Use caching and datagroups in Looker to speed up SQL queries
- This class is intended for the following audience:
- Data developers who are responsible for data curation and management within their organizations.
- Data analysts interested in learning how data developers use LookML to curate and manage data in their organization’s Looker instance
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.
- LookML basics, Looker development environment
- Dimensions, measures
- Git within Looker, project version control
- SQL within Looker, Explores, joins, symmetric aggregations, filters
- Derived tables, best practices
- Caching, datagroups