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 organization’s Looker instance.

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.
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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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Delegates will learn how to

  • 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
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Module 1: Introduction to Looker and LookML
Topics: LookML basics, Looker development environment
  • 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
Activities: 1 demo, 1 quiz
Module 2: Creating Dimensions and Measures
Topics: Dimensions, measures
Objectives: Create dimensions and measures to curate data attributes used by business users
Activities: 2 demos, 1 lab
Module 3: Project Version Control
Topics: Git within Looker, project version control
Objectives: Implement version control with Git to manage and track changes in LookML projects
Activities: -
Module 4: Model Files
Topics: SQL within Looker, Explores, joins, symmetric aggregations, filters
  • 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 end users
Activities: 1 quiz
Module 5: Derived Tables
Topics: Derived tables, best practices
  • Define the two types of derived tables in Looker
  • Create ephemeral and persistent derived tables
  • List best practices for creating derived tables
Activities: 2 demos, 1 lab
Module 6: Caching and Datagroups
Topics: Caching, datagroups
  • Explain how Looker uses caching to speed up SQL queries
  • Use datagroups to manage caching policies in Looker
Activities: 1 demo
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