LookML Data Modeling: Build Scalable Analytics in Looker

Raw data is only valuable when it is structured, accessible, and trusted by decision-makers. LookML provides the key to transforming complex database schemas into intuitive, reusable data models that empower business users to explore data independently. This text-based course guides you from the fundamental concepts of Looker modeling to deploying production-ready LookML code. You will learn to construct robust data relationships, establish a single source of truth for your business metrics, and optimize query performance to keep your analytics running fast. What you'll learn: - Understand foundational LookML structures, including projects, models, views, and explores. - Define precise dimensions, measures, and join relationships to accurately reflect business logic. - Apply modern modular patterns using extends and refinements to write dry, maintainable code. - Configure caching policies and aggregate awareness to optimize query performance and control database costs. - Manage your code securely using Git-based version control workflows. - Troubleshoot and validate LookML models to ensure data quality and schema consistency. The course begins with core terminology and basic syntax before moving into advanced join patterns, calculation techniques, and performance optimization strategies. Through clear written explanations and structured code examples, you will build the confidence to manage enterprise-grade data models. This course is designed for data analysts, business intelligence developers, and database administrators who are new to LookML. No prior experience with Looker modeling is required, though a basic understanding of SQL is helpful. Start building reliable, self-service data models for your organization today.