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Developing Data Models with LookML

SS Course: 62946

Course Overview

This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organizations Looker instance.                                                                  

Scheduled Classes

08/19/24 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)

What You'll Learn

Define LookML basic terms and building blocks
  • Modify LookML projects using the Looker Integrated Development Environment (IDE) and project version control
  • Create dimensions and measures to curate data attributes used by business users
  • Create and design Explores to make data accessible to business users
  • Create new tables instantaneously using derived tables
  • Optimize SQL query performance using caching and datagroups in Looker


Viewing outline for:
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


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.

      Who Should Attend

      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 organizations Looker instance.

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