Coursera

Developing Data Models with LookML (Coursera)

Offered by Google Cloud,
Developing Data Models with LookML (Coursera)

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.

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What You Will Learn

  • 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 optimize SQL query performance

Course 3 of 3 in the Creating Business Value with Data and Looker Specialization.

Syllabus

WEEK 1
Module 0: Introduction to the Course
This module introduces the course on LookML for Looker developers.
Module 1: Introduction to Looker and LookML
This module provides an overview of Looker and the Looker integrated development environment (IDE) for LookML developers.
Module 2: Modeling Dimensions and Measures
This module reviews how to model new dimensions and measures using LookML.
Module 3: Project Version Control
This module reviews how Looker integrates with Git for version control of LookML projects.

WEEK 2
Module 4: Model Files
This module provides a deeper dive into the model files of LookML projects for developers to start designing and building custom Explores for business users.
Module 5: Derived Tables
This module explains how to use derived tables in Looker to create new custom tables that do not yet exist in the underlying database.
Module 6: Caching and Datagroups
This module provides an overview of how caching works in Looker and how developers can use datagroups to manage caching policies.
Module 7: Course Summary
This module provides a summary of the topics covered in this course.

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