Developing Data Models with LookML

    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.

    Objectives

    In this course, participants will learn the following skills:

    • 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

    Audience

      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

    Prerequisites

    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.

    Duration

    1 day

    Investment

    Check the next open public class in our enrollment page.
    If you are interested in a private training class for your company, contact us.
    Developing Data Models with LookML dependencies with other courses and certifications
    Developing Data Models with LookML dependencies with other courses and certifications

    Course Outline

    • Define Looker and the functionality it provides for curating data
    • Define LookML basic terms and building blocks
    • Discuss how to modify LookML projects using the Looker Integrated Development Environment (IDE)
    • Create dimensions and measures to curate data attributes used by business users.
    • Discuss how to implement version control with Git to manage and track changes in LookML projects
    • Explain how to send LookML changes from a development branch to production
    • Explain how Looker utilizes SQL on the back end to translate user requests to query results
    • Describe how to create and design Explores to make data accessible to business users
    • Identify join parameters that can be used to establish relationships between data tables
    • Discuss the use of symmetric aggregation to ensure the accuracy of aggregated metrics
    • Describe how to implement filters to preselect data provided to business users
    • Define the two types of derived tables in Looker
    • Create ephemeral and persistent derived tables
    • List best practices for creating derived tables
    • Explain how Looker uses caching to optimize SQL query performance
    • Describe how datagroups manage caching policies in Looker
    Check our schedule and enroll