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Optimizing Performance of LookML Queries
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Optimizing Performance of LookML Queries

This course is part of Creating Business Value with Data and Looker Specialization.

Course Cost

Free course

Intermediate

Skill Level

1.5 Hours

Self-paced lessons

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.

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

Looker
LookML
query optimization
derived tables
aggregate awareness
Explore refinement
Google Cloud Platform
performance tuning
data analysis

This course includes:

90 Minutes PreRecorded video

Access on Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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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

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Optimizing Performance of LookML Queries

Intermediate

Skill Level

1.5 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.