🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
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Cloud Hero: Looker Intermediate Developer

Extend views and explores, promoting code modularity and reusability. Confront data model troubleshooting head-on, leveraging Looker's built-in tools to identify and fix errors. Explore best practices for crafting user-friendly LookML projects, ensuring a smooth experience for both business users and developers. Learn about caching and data groups, optimizing Looker performance and reducing database load. By conquering these challenges, you'll be well-equipped to build robust, efficient, and user-centric Looker data models.

Google Cloud
✓ Official training Google CloudLevel Intermediate⏱️ 0.5 day (4h)

What you will learn

  • Extend views and explores, promoting code modularity and reusability.
  • Confront data model troubleshooting head-on, leveraging Looker's built-in tools to identify and fix errors.
  • Explore best practices for crafting user-friendly LookML projects, ensuring a smooth experience for both business users and developers.
  • Learn about caching and data groups, optimizing Looker performance and reducing database load.
  • By conquering these challenges, you'll be well-equipped to build robust, efficient, and user-centric Looker data models.

Prerequisites

  • Familiarity with LookML is necessary.

Target audience

  • Someone who is looking to scale, optimize, and troubleshoot complex LookML data models.

Training Program

4 modules to master the fundamentals

Topics covered
  • →Modularizing LookML Code
  • →Extends
Activities

GSP936 - Modularizing LookML Code with Extends (60 mins)

Topics covered
  • →Troubleshooting Data Models
  • →Looker
Activities

GSP1019 - Troubleshooting Data Models in Looker (60 mins)

Topics covered
  • →Best Practices
  • →Improving Usability
  • →LookML Projects
Activities

GSP1020 - Employing Best Practices for Improving the Usability of LookML Projects (60 mins)

Topics covered
  • →Caching
  • →Datagroups
  • →LookML
Activities

GSP893 - Caching and Datagroups with LookML (45 mins)

Related Trainings

Google Cloud

Analyzing and Visualizing Data in Looker

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. You learn to leverage Looker's modern analytics platform to find and explore relevant content in your organization's Looker instance. You also discover how to ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision-making.

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Fundamental
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Upcoming sessions

No date suits you?

We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

Register for a custom date

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Serious Game / Business Game — Game-based learning simulating professional challenges.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Troubleshooting / Problem Solving — Diagnosing and fixing a breakdown, bug, or malfunction.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

LookML developers (level 200) who already build in Looker and want to make their projects more modular, more reliable and faster.
You will be able to modularize LookML code with extends, troubleshoot data models using Looker's built-in tools, apply usability best practices to a LookML project, and control performance with caching and datagroups.
Cloud Hero is Google Cloud's gamified lab format: instead of following slides, you work through a series of hands-on labs on real Google Cloud projects, scored as you progress. The competitive framing is what keeps a room of practitioners engaged for a whole session.
The session runs 162 hands-on labs: modularizing LookML code with extends, troubleshooting data models in Looker, usability best practices for LookML projects, and caching and datagroups with LookML.
This course is contracted via Google Cloud only: it cannot be purchased directly from SFEIR Institute. Contact us to learn how to order it through Google Cloud.
Yes. Cloud Hero is an official Google Cloud format, delivered here by SFEIR Institute, a certified Google Cloud Training Partner and Google Cloud Training Partner of the Year 2025.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities. Because this course is contracted via Google Cloud, contact us to review the options that apply to your situation.

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