Developing Data Models with LookML

Who this course is for?

• 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.

Prerequisite

• 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.

Course Outline

• Module 1: Introduction to Looker and LookML
  • Define Looker and the functionality it provides for curating data
  • Define LookML basic terms and building blocks
  • Use the Looker Integrated Development Environment (IDE) to modify LookML projects
• Module 2: Creating Dimensions and Measures
  • Create dimensions and measures to curate data attributes used by business users
• Module 3: Project Version Control
  • Implement version control with Git to manage and track changes in LookML projects
  • Send LookML changes from a development branch to production
• Module 4: Model Files
  • Explain how Looker utilizes SQL on the back end to translate user requests to query results
  • Create and design Explores to make data accessible to business users
  • Use joins to establish relationships between data tables
  • Leverage symmetric aggregation to ensure the accuracy of aggregated metrics
  • Implement filters to preselect data provided to business users
• Module 5: Derived Tables
  • Define the two types of derived tables in Looker
  • Create ephemeral and persistent derived tables
  • List best practices for creating derived tables