Developing Data Models with LookML Course Overview

Developing Data Models with LookML Course Overview

The "Developing Data Models with LookML" course is designed for individuals interested in mastering the Looker platform's data modeling capabilities. This course provides an in-depth understanding of LookML training and equips learners with the skills to build robust data models that are essential for making informed business decisions. Through a structured learning path, participants will explore Looker's development environment, understand the basics of LookML, and learn to create dimensions and measures.

The course delves into project version control using Git, enabling learners to manage LookML projects effectively. It also covers SQL within Looker, teaching how to craft model files with Explores, joins, and filters to facilitate user queries. Furthermore, attendees will gain hands-on experience with derived tables and best practices, ensuring they can optimize performance with caching and datagroups. By the end of the course, students will be proficient in LookML, ready to deliver powerful data insights within their organizations.

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Target Audience for Developing Data Models with LookML

Koenig Solutions' Developing Data Models with LookML course is designed for professionals seeking to master data modeling and analytics using Looker.


  • Data Analysts
  • Business Intelligence (BI) Developers
  • Data Scientists
  • Business Analysts
  • Data Engineers
  • SQL Developers
  • BI Architects
  • Analytics Managers
  • Data Analytics Consultants
  • IT Professionals with a focus on data analytics or business intelligence
  • Database Administrators (DBAs) looking to expand their skill set into data modeling
  • Product Managers working closely with data-driven decision-making tools
  • Technical Project Managers overseeing BI projects
  • Data Visualization Specialists
  • Looker Developers
  • Professionals preparing for Looker Certification exams


Learning Objectives - What you will Learn in this Developing Data Models with LookML?

Introduction to Learning Outcomes and Concepts:

Gain practical skills in LookML development to build robust data models in Looker. Learn LookML basics, implement version control, design models, and manage caching strategies.

Learning Objectives and Outcomes:

  • Understand the fundamentals of LookML and the Looker development environment.
  • Define the role of Looker in data curation and its key functionalities.
  • Comprehend and apply LookML terms and building blocks to construct data models.
  • Utilize the Looker IDE to effectively modify and manage LookML projects.
  • Create dimensions and measures tailored for specific business user needs.
  • Implement version control using Git within Looker for LookML project management.
  • Develop SQL-based model files, including Explores, joins, and symmetric aggregations, to facilitate accurate data exploration.
  • Design and integrate advanced filters to refine data access for end users.
  • Differentiate between ephemeral and persistent derived tables and apply best practices for their creation.
  • Use datagroups to optimize Looker's caching mechanisms for efficient query performance.

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