Course
Skills
Developing Data Models with LookML
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.
What you'll learn
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.
Table of contents
Introduction to the Course
2mins
Introduction to Looker and LookML
26mins
Modeling Dimensions and Measures
34mins
- Module 2 Introduction 1m
- Modeling dimensions 10m
- Example: Creating dimensions using LookML 7m
- Modeling measures 3m
- Example: Creating measures using LookML 4m
- Advanced logic for dimensions and measures 3m
- Lab Intro: Creating Dimensions and Measures with LookML 1m
- Pluralsight: Getting Started with GCP and Qwiklabs 4m
- Lab: Creating Dimensions and Measures with LookML 0m
- Module 2 Summary 1m
Project Version Control
11mins
Model Files
31mins
Derived Tables
38mins
- Module 5 introduction 1m
- Introduction to derived tables 7m
- Types of derived tables 3m
- Example: Creating SQL derived tables 6m
- Example: Creating native derived tables 8m
- Useful parameters for native derived tables 3m
- Persistent derived tables 8m
- Lab Intro: Creating Derived Tables with LookML 1m
- Lab: Creating Derived Tables with LookML 0m
- Module 5 Summary 1m
Caching and Datagroups
14mins
Course Summary
2mins
Course Resources
0mins
