Developing Data Models with LookML Course

The course is a comprehensive course that will teach the learners the skills needed to create powerful, scalable and efficient data models using the modeling language of Looker which is LookML. During this program, the participants will be exposed to the fundamentals of structuring data, the formation of views, relationships, and optimal performance to business intelligence solutions. The course includes the basics of LookML, model and explore settings, dimension and measure creation, SQL runners, version control, and the best practices of reusable and maintainable analytics code.

Learners will have practical experience with the workflow of the data of Looker, which will allow them to build correct data models that facilitate more advanced reporting and dashboards. At the conclusion of the course, participants can be expected to map business needs into properly designed LookML models, and make contributions to healthy data ecosystems that promote the use of data-informed decision-making at the organizational level.

The type of training would be best suited to data analysts, BI developers, and professionals who are interested in developing their experience in data modeling and analytics engineering. The training is presented in a high standard and is also practical based learning to make sure that it can be applicable in real world. the program will be delivered by of SSDN Technologies, a leading training company in India, offering structured and industry-relevant training programs aligned with modern data analytics needs. 
 


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Learning Options for You

  • Live Training (Duration : 40 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of SQL and relational databases
  • Familiarity with data modeling concepts
  • Awareness of business intelligence or reporting workflows
  • Optional: Experience using Looker dashboards and explores

Learning Objectives

This course offers comprehensive training on designing, organizing, and managing data models using LookML in Looker. Participants learn core LookML structures, including views, explores, dimensions, measures, and persistent derived tables. The program covers model architecture, joins, data governance, parameterization, reusable logic, and best practices for performance optimization. It also includes version control workflows, testing, project organization, and deployment processes. By the end, participants can build scalable, maintainable LookML models that power trusted analytics and self-service exploration across an organization.

Target Audience

  • Data analysts responsible for building analytics layers
  • BI developers creating Looker semantic models
  • Data engineers defining centralized business logic
  • Analytics teams maintaining enterprise reporting systems
  • Organizations adopting Looker for self-service analytics

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