Virtual Class
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Jan
1
Developing Data Models with LookML
January 1 @ 8:00 AM - 5:00 PM AEST
Virtual Class
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Developing Data Models with LookML
This instructor led live training 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.
What you Will learn
- 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 optimize SQL query performance
What's Included?
Instructor Live Training
An instructor will answer your questions
OFFICIAL GOOGLE CLOUD CONTENT
Course content reflects the latest google cloud class
hands on labs
Real world hands on labs provided by Qwiklabs and supported by instructor
CertIficate of completion
Receive official certificate on completion of 80% of labs
Who's this course for?
- 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.
Level
- Intermediate
Language
- Delivered in English
Duration
- 1 x 8 hour session
Prerequisites
- basic understanding of SQL
- basic understanding of Git
- basic understanding of 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.
products
- Looker
Not covered
- Analyzing data in Explores
- Creating and sharing visualizations and dashboards
- Looker administrative features and functions
Course Content
Topics
- LookML basics, Looker development environment
Objectives
- 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
Activities
- 1 demo, 1 quiz
Topics
- Dimensions, measures
Objectives
- Create dimensions and measures to curate data attributes used by business users
Activites
- 2 demos, 1 quiz, 1 lab
Topics
- Git within Looker, project version control
Objectives
- Implement version control with Git to manage and track changes in LookML
projects - Send LookML changes from a development branch to production
Activities
- 1 quiz
Topics
- SQL within Looker, Explores, joins, symmetric aggregations, filters
Objectives
- 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 business users
Activities
- 1 quiz
Topics
- Derived tables, best practices
Objectives
- Define the two types of derived tables in Looker
- Create ephemeral and persistent derived tables
- List best practices for creating derived tables
Activities
- 2 demos, 1 quiz, 1 lab
Topics
- Caching, datagroups
Objectives
- Explain how Looker uses caching to optimize SQL query performance
- Use datagroups to manage caching policies in Looker
Activities
- 1 demo, 1 quiz
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Have Questions?
No worries. Send us a quick message and we’ll be happy to answer any questions you have.
Ref: C-LOOKDM-I-02