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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.

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.

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

Module 1: Introduction to Looker and LookML

Topics: LookML basics, Looker development environment

Objectives:

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

Objectives:

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

Objectives:

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

Objectives:

Explain how Looker uses caching to speed up SQL queries
Use datagroups to manage caching policies in Looker

Activities: 1 demo

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

04 August 2024