Developing Data Models with LookML
Discover the key to making your data more accessible to business users by learning how to build, curate and manage your Looker Modelling Language (LookML) models on this one-day course.
Book this courseCourse Overview
1 day course
Certificate of Attendance
Private
Partner of the Year
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 live online or at a location of your choice in the UK.
What you'll learn
By the end of this course, you will be able to:
Define LookML basic terms and building blocks
Create dimensions and measures to curate data attributes used by business users
Use derived tables to instantaneously create new tables
Use the Looker Integrated Development Environment (IDE) and project version control to modify LookML projects
Create and design Explores to make data accessible to business users
Use caching and data groups in Looker to speed up SQL queries
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
Who it's for
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.
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 Analyzing and Visualizing Data in Looker course.
BOOK THIS COURSE
Enquire for a team or large group
For private sessions call our sales team