Optimizing Performance of LookML Queries
This course is part of Creating Business Value with Data and Looker Specialization.
This Google Cloud Self-Paced Lab provides comprehensive training on optimizing query performance in Looker. Through hands-on, project-based learning, you'll master essential techniques for enhancing LookML query efficiency. The course covers critical optimization methods including adding persistence and incremental updates to derived tables, implementing aggregate awareness for rolled-up or summarized data queries, and creating refinements of existing Explores. Designed for data professionals with some related experience, this interactive lab allows you to practice real-world job skills in an actual Google Cloud environment without requiring any downloads or installations. You'll gain practical experience solving job-related tasks through step-by-step instructions, learning directly from Google Cloud Training experts. The course emphasizes hands-on learning, enabling you to immediately apply optimization techniques that improve query performance and efficiency in Looker deployments.
Instructors:
English
4 languages available
Powered by
What you'll learn
Understand when and how to add persistence and incremental updates to derived tables
Use aggregate awareness to optimize queries on rolled up or summarized data
Create a refinement of an existing Explore
Learn best methods to optimize query performance in Looker
Gain hands-on experience in Google Cloud environment
Apply optimization techniques to real-world scenarios
Skills you'll gain
This course includes:
90 Minutes PreRecorded video
Access on Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There is 1 module in this course
This comprehensive Google Cloud lab teaches the best methods to optimize query performance in Looker through hands-on practice. You'll learn to enhance LookML queries by understanding when and how to add persistence and incremental updates to derived tables, significantly improving data refresh efficiency. The course covers aggregate awareness techniques to optimize queries on rolled-up or summarized data, reducing query execution time. Additionally, you'll master creating refinements of existing Explores to extend functionality without modifying the original code, enabling better query performance and maintainability in production environments.
Optimizing Performance of LookML Queries
Module 1 · 90 Minutes to complete
Instructor
Empowering Businesses with Expert Training from Google Cloud
The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.