1 day course

Partner of the Year

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Certificate of Attendance

As a Google Cloud Partner, Jellyfish has been selected to run this one-day Developing Data Models with Look ML course.

During the session, we’ll show you how to develop scalable, performant LookML (Looker Modelling Language) models that provide your business users with the standardized, ready-to-use data.

By the end of the course, you’ll be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.

Our Developing Data Models with LookML course is available as a private training session that can be delivered via Virtual Classroom or at a location of your choice in South Africa.

Course overview

Who should attend:

This course is suitable for data developers who are responsible for data curation and management within their organizations, as well as data analysts interested in learning how data developers use LookML to curate and manage data in their organization’s Looker instance.

What you'll learn:

By the end of this course, you 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 data groups in Looker to speed up SQL queries

Prerequisites

To get the most out of this course, you should have a basic understanding of SQL, Git, and the Looker business user experience. If you have no previous experience as a data explorer in Looker, we recommend you first complete the Analysing and Visualising Data in Looker course.

Course agenda

Module 1: Introduction to Looker & LookML

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

Module 2: Creating Dimensions & Measures

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

Module 3: Project Version Control

Git within Looker, project version control
Implement version control with Git to manage and track changes in LookML projects

Module 4: Model Files

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

Module 5: Derived Tables

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

Module 6: Caching & Datagroups

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