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Course Overview
LookML not only serves as the foundation for visualization assets in Looker, but is also capable of dynamic aggregations, incrementally refreshed persistent derived tables, and more. In this course you will practice the skills to be an advanced Looker Developer through guided lectures and independent exercises using sample data.
Who Should Attend
Data Scientists and Data Analysts
Course Objectives
- Customize and incrementally refresh SQL and native derived tables
- Incorporate Liquid for dynamic SQL, formatting, templated filters, and parameters in Looker
- Use extends and refinements in Looker to modularize and organize your LookML
- Troubleshoot LookML code and improve performance
- Apply Looker best practices to your LookML projects
- Manage Looker deployments using DevOps practices
- Embed Looker content into web applications
Course Outline
- Looker Admin and LookML Fundamentals
- Diving Deeper into Derived Tables
- Creating Dynamic LookML with Liquid
- Creating Modular LookML
- Testing, Debugging, and DevOps
- Looker Best Practices
- Embedded Looker Analyics