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Optimizing Performance of LookML Queries

Google Cloud Training

This is a Google Cloud Self-Paced Lab. In this lab, you'll learn the best methods to optimize query performance in Looker.

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This is a Google Cloud Self-Paced Lab. In this lab, you'll learn the best methods to optimize query performance in Looker.

Looker is a modern data platform in Google Cloud that you can use to analyze and visualize your data interactively. You can use Looker to do in-depth data analysis, integrate insights across different data sources, build actionable data-driven workflows, and create custom data applications.

Big, complex queries can be costly, and running them repeatedly strains your database, thereby reducing performance. Ideally, you want to avoid re-running massive queries if nothing has changed, and instead, append new data to existing results to reduce repetitive requests. Although there are many ways to optimize performance of LookML queries, this lab focuses on the most commonly used methods to optimize query performance in Looker: persistent derived tables, aggregate awareness, and performantly joining views.

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What's inside

Syllabus

Optimizing Performance of LookML Queries

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers optimizing query performance of LookML queries, which is relevant to data analysts and engineers
Offered by Google Cloud Training, an experienced provider in the field
Involves hands-on labs and interactive materials for practical application
May require prior knowledge and experience in data analysis, Looker, and similar technologies

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Optimizing Performance of LookML Queries with these activities:
Organize and review course materials and resources
Stay organized and ensure you have a comprehensive understanding of the course materials by organizing and reviewing them.
Show steps
  • Compile all lecture notes, assignments, and other course materials.
  • Review the materials regularly to reinforce your learning.
  • Create summaries or flashcards to aid memorization.
Review fundamental concepts of query optimization
Refresh your knowledge of fundamental query optimization concepts to strengthen your foundation for this course.
Browse courses on Query Optimization
Show steps
  • Read through the course syllabus and identify key concepts.
  • Review textbooks or online resources on database principles and query optimization.
  • Attempt practice problems or quizzes to test your understanding.
Participate in a study group to discuss query optimization strategies
Collaborate with peers to share insights, troubleshoot challenges, and reinforce your understanding of query optimization strategies.
Browse courses on Query Optimization
Show steps
  • Join or form a study group with other students in the course.
  • Prepare by reviewing the course materials and identifying areas for discussion.
  • Actively participate in group discussions and share your perspectives.
  • Work together to solve problems and provide feedback on each other's queries.
Nine other activities
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Implement query optimization techniques with practice problems
Practice query optimization techniques by completing practice problems to solidify your understanding of the concepts taught in the course.
Show steps
  • Review the course materials on query optimization techniques.
  • Attempt the practice problems provided.
  • Compare your solutions to the provided answer key.
  • Identify areas for improvement and seek clarification from the instructor or a tutor as needed.
Follow Looker Tutorial on Query Optimization
Provides guided instruction on how to optimize Looker queries.
Browse courses on Performance Optimization
Show steps
  • Read the tutorial documentation.
  • Follow the step-by-step instructions.
  • Complete the practice exercises.
Explore advanced query optimization techniques with Looker documentation
Expand your knowledge of query optimization by exploring advanced techniques documented in Looker's documentation.
Browse courses on Query Optimization
Show steps
  • Identify areas in your LookML queries that could benefit from optimization.
  • Review the Looker documentation on advanced query optimization techniques.
  • Implement the recommended techniques in your queries.
  • Monitor the performance of your optimized queries.
Participate in a Peer Group to Discuss Query Optimization
Provides opportunities to share knowledge and learn from others.
Browse courses on Query Optimization
Show steps
  • Join a peer group focused on query optimization.
  • Participate in discussions and share your experiences.
  • Collaborate on projects and learn from others.
Optimize Looker Queries Using Persistent Derived Tables
Provides hands-on experience in applying one of the key techniques for optimizing query performance in Looker.
Show steps
  • Create a persistent derived table to store pre-computed data.
  • Query the persistent derived table to improve performance.
  • Compare the query performance with and without using the persistent derived table.
Join Views to Improve Looker Query Performance
Provides practice in using another important technique for optimizing query performance in Looker.
Browse courses on Query Optimization
Show steps
  • Create a view to join multiple tables.
  • Query the view to improve performance.
  • Compare the query performance with and without using the view.
Build a dashboard with optimized LookML queries
Apply your query optimization skills to build a dashboard that effectively visualizes data using optimized LookML queries.
Show steps
  • Gather the necessary data and identify the key metrics to be visualized.
  • Design the dashboard layout and select appropriate visualizations.
  • Develop optimized LookML queries to retrieve the data.
  • Build the dashboard and integrate the optimized queries.
  • Test and iterate on the dashboard to ensure optimal performance.
Attend a workshop on advanced Looker query techniques
Deepen your knowledge and skills in advanced Looker query techniques by attending a specialized workshop.
Browse courses on Query Optimization
Show steps
  • Identify and register for a workshop that aligns with your learning goals.
  • Attend the workshop and actively participate in the sessions.
  • Engage with the instructors and other attendees to exchange knowledge.
  • Implement the techniques discussed in the workshop to enhance your Looker query optimization skills.
Write a Blog Post on Query Optimization in Looker
Encourages students to synthesize their understanding of query optimization in Looker and share it with others.
Browse courses on Query Optimization
Show steps
  • Research and gather information on query optimization techniques in Looker.
  • Write a blog post outlining the key techniques and best practices for optimizing Looker queries.
  • Publish the blog post and share it with others.

Career center

Learners who complete Optimizing Performance of LookML Queries will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts study data using a variety of software and techniques. They turn raw information into actionable insights to aid business leaders in decision-making and problem-solving. This course discusses the best methods to optimize query performance in Looker, which is a modern data platform used for data analysis and visualization. By learning these optimization techniques, aspiring Data Analysts can ensure the efficient and accurate analysis of large datasets, leading to more informed decision-making and improved business outcomes.
Business Analyst
Business Analysts bridge the gap between business stakeholders and technical teams. They play a crucial role in understanding business needs and translating them into technical requirements. This course, which focuses on optimizing query performance in Looker, can be highly beneficial for Business Analysts. By gaining proficiency in these techniques, aspiring Business Analysts can effectively collaborate with data teams to ensure that data-driven insights are delivered efficiently and accurately, supporting informed decision-making and business growth.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They ensure that data is collected, processed, and stored in a way that makes it accessible and useful for analysis. This course, which covers methods for optimizing query performance in Looker, can be valuable for aspiring Data Engineers. By understanding these techniques, they can optimize data pipelines to handle large and complex queries efficiently, ensuring the timely delivery of insights for data-driven decision-making.
Database Administrator
Database Administrators are responsible for managing and maintaining database systems. They ensure data integrity, security, and performance. This course, which focuses on optimizing query performance in Looker, can provide valuable knowledge for aspiring Database Administrators. By understanding these techniques, they can optimize database configurations and ensure efficient query execution, maximizing data accessibility and reliability for various stakeholders.
Data Scientist
Data Scientists utilize advanced statistical and machine learning techniques to extract insights from data. They develop and implement predictive models to support decision-making. This course, which covers optimization techniques for Looker queries, may be useful for aspiring Data Scientists. By leveraging these techniques, they can efficiently retrieve and analyze large datasets, enabling them to build more accurate and timely predictive models.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work closely with other technical professionals to ensure the efficient and reliable operation of software systems. This course, which focuses on optimizing Looker query performance, may be helpful for aspiring Software Engineers. By understanding these techniques, they can contribute to the development of software applications that efficiently manage and analyze data, supporting informed decision-making and improved user experiences.
Data Architect
Data Architects design and manage data systems. They ensure that data is organized and accessible in a way that supports business needs. This course, which covers techniques for optimizing query performance in Looker, may be useful for aspiring Data Architects. By learning these techniques, they can design data systems that efficiently handle complex queries, ensuring timely access to data for analysis and decision-making.
Systems Engineer
Systems Engineers design, deploy, and maintain complex technical systems. They ensure the efficient and reliable operation of these systems to support business operations. This course, which focuses on optimizing query performance in Looker, may be helpful for aspiring Systems Engineers. By understanding these techniques, they can contribute to the design and management of systems that efficiently handle data-intensive tasks, ensuring the availability and performance of critical applications.
Cloud Architect
Cloud Architects design and manage cloud computing infrastructure. They ensure that cloud-based systems are scalable, reliable, and cost-effective. This course, which covers techniques for optimizing Looker query performance, may be useful for aspiring Cloud Architects. By understanding these techniques, they can design and manage cloud infrastructure that efficiently supports data analysis and visualization, enabling businesses to make informed decisions and drive growth.
Data Governance Specialist
Data Governance Specialists establish and enforce policies and procedures for managing data assets. They ensure that data is used ethically and responsibly in line with regulatory requirements. This course, which focuses on optimizing query performance in Looker, may be useful for aspiring Data Governance Specialists. By understanding these techniques, they can develop and implement governance strategies that enable efficient access to data while maintaining data integrity and compliance.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course, which covers techniques for optimizing query performance in Looker, may be useful for aspiring Information Security Analysts. By understanding these techniques, they can contribute to the design and implementation of security measures that protect data from unauthorized access and ensure the confidentiality, integrity, and availability of information systems.
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to communicate insights and trends. They help users understand complex data and make informed decisions. This course, which focuses on optimizing query performance in Looker, may be useful for aspiring Data Visualization Specialists. By understanding these techniques, they can develop data visualizations that efficiently display large datasets, enabling users to quickly identify patterns and make informed decisions.
Report Developer
Report Developers create and maintain reports that summarize and analyze data. They ensure that reports are accurate, timely, and visually appealing. This course, which covers techniques for optimizing query performance in Looker, may be useful for aspiring Report Developers. By understanding these techniques, they can develop reports that efficiently retrieve and present data, enabling users to make informed decisions based on up-to-date and accurate information.
Data Quality Analyst
Data Quality Analysts assess the accuracy, completeness, and consistency of data. They work to improve data quality by identifying and correcting errors and inconsistencies. This course, which focuses on optimizing query performance in Looker, may be useful for aspiring Data Quality Analysts. By understanding these techniques, they can develop and implement data quality processes that efficiently identify and resolve data issues, ensuring the reliability and accuracy of data for analysis and decision-making.
Database Designer
Database Designers create and maintain database schemas. They ensure that databases are structured efficiently and can handle the demands of data storage and retrieval. This course, which covers techniques for optimizing query performance in Looker, may be useful for aspiring Database Designers. By understanding these techniques, they can design databases that efficiently support complex queries and ensure optimal performance for data-intensive applications.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Optimizing Performance of LookML Queries.
Although the focus of this book is on optimizing MySQL queries, it provides general principles that can be applied to optimizing queries in Looker, as well.
Provides a foundation in data warehousing concepts, which can be helpful for understanding how to optimize Looker queries.
Provides a detailed explanation of how SQL queries are executed, which can be helpful for understanding how to optimize Looker queries.
Provides a collection of common SQL antipatterns, which can be helpful for avoiding performance problems.

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