Developing Data Models with LookML

Name: Developing Data Models with LookML
Price: 1000.00 INR

Learn how to use LookML to make data accessible to business users on this one-day course.

1 day course

Supporting material

Google Cloud 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.

This course shows you how to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardised, ready-to-use data.

Upon completing the session, you will be able to start building and maintaining LookML models to curate and manage data in your organisation’s Looker instance.

Jellyfish has recently been named a Google Cloud Specialisation Partner of the Year. This title recognises our commitment to provide world-leading Cloud-based Training solutions that help our clients succeed.

Course overview

Who should attend:

Data developers who are responsible for data curation and management within their organisations and Data analysts interested in learning how data developers use LookML to curate and manage data in their organisation’s Looker instance.

Walk away with the ability 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.

Course Agenda

Module 1: Introduction to Looker and 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 and 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 utilises 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 and Datagroups

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

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