Developing Data Models with LookML [GCP-1708]

Course Description

This Developing Data Models with LookML course is an intermediate-level training that introduces the fundamentals of LookML for Looker developers and provides guided demos and hands-on practice with writing LookML code.

Objectives

Upon completion of the Developing Data Models with LookML course, students will be able 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

Content

The course includes presentations, demonstrations, and hands-on labs.Module 1: Introduction to Looker and LookML

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.

Module 2: Creating Dimensions and Measures

Create dimensions and measures to curate data attributes used by business users.

Module 3: Project Version Control

Implement version control with Git to manage and track changes in LookML projects.

Module 4: Model Files

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.

Module 5: Derived Tables

Define the two types of derived tables in Looker.
Create ephemeral and persistent derived tables.
List best practices for creating derived tables.

Module 6: Caching and Datagroups

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

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.

Certification

No certification available.

Prerequisites

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.

Schedules

Please contact us for upcoming schedules. Email Us