We may earn an affiliate commission when you visit our partners.
Google Cloud Training
This is a Google Cloud Self-Paced Lab. In this lab, you will build dimensions and measures and practice these features in LookML to learn different types of dimensions and measures Looker supports.
Register for this course and see more details by visiting:
OpenCourser.com/course/09o41k/creating
Here's a deal for you
Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Get offer
What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Practice building dimensions and measures to learn different types Looker supports
This Google Cloud Self-Paced Lab is modular and paced for individualized learning
Suitable for learners with no prior knowledge of LookML
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Practical lookml foundations for data modeling
According to learners, this course offers a fantastic introduction and solid foundation for creating measures and dimensions using LookML. Students particularly appreciate the incredibly clear explanations and the hands-on labs, which are highlighted as practical and effective for solidifying understanding. Many found it concise and efficient, allowing for quick skill building and immediate application to work projects. However, some learners noted it can feel too basic for those with prior experience and might require supplementary study for complex real-world scenarios. It also assumes some prior SQL and data warehousing knowledge.
Offers a strong basic introduction, but less depth for advanced users.
"A fantastic introduction to LookML dimensions and measures. Highly recommended for anyone starting with Looker!"
"Found it a bit too basic and slow-paced for my experience level. If you're completely new, it might be fine..."
"It's a good starting point, but you'll need to supplement with more complex scenarios for practical work."
"I was looking for something more advanced. The explanations were clear, just not challenging enough."
Course content is presented with exceptional clarity.
"The explanations were incredibly clear, and the hands-on labs really solidified my understanding."
"It broke down complex topics into digestible chunks. I can now confidently create my own LookML models."
"It clearly explains the different types of dimensions and measures. I feel much more confident with LookML after this."
Provides practical exercises for immediate skill application.
"The hands-on labs really solidified my understanding."
"Very practical and to the point. The exercises are well-designed and help you apply what I learn immediately."
"I was able to use these concepts in my work project the very next day."
"The labs are interactive and provide immediate feedback. I learned a lot in a short amount of time."
Requires some prior SQL and data warehousing background.
"The course is okay, but it assumes you have a bit of prior knowledge with SQL and data warehousing concepts."
"I struggled a bit without that background. More pre-req guidance would be good."
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 Creating Measures and Dimensions Using LookML with these
activities:
Organize Class Notes
Show steps
Review and organize your class notes to improve recall and understanding of dimensions and measures.
Show steps
-
Gather all class notes and materials
-
Create a system for organizing and categorizing the notes
-
Review and summarize key concepts
Create Basic Dimensions and Measures
Show steps
Practice creating basic dimensions and measures in LookML to solidify your understanding of their functionality.
Show steps
-
Create a new Looker project
-
Define a dimension based on a field in your data source
-
Define a measure based on a calculation
Explore LookML Examples
Show steps
Review LookML examples to gain insights into different ways of using dimensions and measures.
Show steps
-
Browse the Looker documentation for LookML examples
-
Explore the Looker community forum for user-shared examples
Three other activities
Expand to see all activities and additional details
Show all six activities
Answer LookML Questions in Forums
Show steps
Share your knowledge and enhance your understanding by assisting others with LookML questions in forums.
Show steps
-
Join Looker community forums
-
Identify and answer questions related to dimensions and measures
Build a LookML Model
Show steps
Create a LookML model for a real-world dataset to apply your knowledge of dimensions and measures.
Show steps
-
Choose a dataset that you are familiar with
-
Define dimensions and measures based on the dataset's structure
-
Write LookML code to define the model
Participate in a Looker Challenge
Show steps
Join a Looker challenge to test your skills and learn from others.
Show steps
-
Find a Looker challenge that aligns with your interests
-
Form a team or work individually
-
Develop a solution using LookML and Looker
Organize Class Notes
Show steps
Review and organize your class notes to improve recall and understanding of dimensions and measures.
Show steps
Show steps
Show steps
- Gather all class notes and materials
- Create a system for organizing and categorizing the notes
- Review and summarize key concepts
Create Basic Dimensions and Measures
Show steps
Practice creating basic dimensions and measures in LookML to solidify your understanding of their functionality.
Show steps
Show steps
Show steps
- Create a new Looker project
- Define a dimension based on a field in your data source
- Define a measure based on a calculation
Explore LookML Examples
Show steps
Review LookML examples to gain insights into different ways of using dimensions and measures.
Show steps
Show steps
Show steps
- Browse the Looker documentation for LookML examples
- Explore the Looker community forum for user-shared examples
Three other activities
Expand to see all activities and additional details
Show all six activities
Answer LookML Questions in Forums
Show steps
Share your knowledge and enhance your understanding by assisting others with LookML questions in forums.
Show steps
Show steps
Show steps
- Join Looker community forums
- Identify and answer questions related to dimensions and measures
Build a LookML Model
Show steps
Create a LookML model for a real-world dataset to apply your knowledge of dimensions and measures.
Show steps
Show steps
Show steps
- Choose a dataset that you are familiar with
- Define dimensions and measures based on the dataset's structure
- Write LookML code to define the model
Participate in a Looker Challenge
Show steps
Join a Looker challenge to test your skills and learn from others.
Show steps
Show steps
Show steps
- Find a Looker challenge that aligns with your interests
- Form a team or work individually
- Develop a solution using LookML and Looker
Career center
Learners who complete Creating Measures and Dimensions Using LookML will develop knowledge and skills
that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst studies data to find insights that help organizations increase their revenues or improve their efficiency. This course will help you build a foundation for a career as a Business Intelligence Analyst by teaching you how to create measures and dimensions, two essential concepts in data analysis.
Data Analyst
Data Analyst
A Data Analyst collects, processes, and analyzes data to help organizations make informed decisions. This course will help you build a foundation for a career as a Data Analyst by teaching you how to create measures and dimensions, two essential concepts in data analysis.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains the systems that store and process data for organizations. This course will help you build a foundation for a career as a Data Engineer by teaching you how to create measures and dimensions, two essential concepts in data modeling.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems and develop new products and services. This course will help you build a foundation for a career as a Data Scientist by teaching you how to create measures and dimensions, two essential concepts in data analysis.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to help companies make investment decisions. This course will help you build a foundation for a career as a Financial Analyst by teaching you how to create measures and dimensions, two essential concepts in financial analysis.
Market Researcher
Market Researcher
A Market Researcher collects and analyzes data about consumers and markets to help companies develop new products and services. This course will help you build a foundation for a career as a Market Researcher by teaching you how to create measures and dimensions, two essential concepts in market research.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical models to help organizations improve their efficiency and productivity. This course will help you build a foundation for a career as an Operations Research Analyst by teaching you how to create measures and dimensions, two essential concepts in operations research.
Product Manager
Product Manager
A Product Manager is responsible for the development and marketing of a product. This course will help you build a foundation for a career as a Product Manager by teaching you how to create measures and dimensions, two essential concepts in product management.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. This course will help you build a foundation for a career as a Quantitative Analyst by teaching you how to create measures and dimensions, two essential concepts in quantitative analysis.
Risk Analyst
Risk Analyst
A Risk Analyst assesses the risks that organizations face and develops strategies to mitigate those risks. This course will help you build a foundation for a career as a Risk Analyst by teaching you how to create measures and dimensions, two essential concepts in risk analysis.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course will help you build a foundation for a career as a Software Engineer by teaching you how to create measures and dimensions, two essential concepts in software engineering.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to help organizations make informed decisions. This course will help you build a foundation for a career as a Statistician by teaching you how to create measures and dimensions, two essential concepts in statistical analysis.
Systems Analyst
Systems Analyst
A Systems Analyst designs and implements computer systems to help organizations improve their efficiency and productivity. This course will help you build a foundation for a career as a Systems Analyst by teaching you how to create measures and dimensions, two essential concepts in systems analysis.
Web Analyst
Web Analyst
A Web Analyst analyzes data about website traffic to help organizations improve their website's performance. This course will help you build a foundation for a career as a Web Analyst by teaching you how to create measures and dimensions, two essential concepts in web analytics.
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data to help organizations communicate their findings to a wider audience. This course will help you build a foundation for a career as a Data Visualization Specialist by teaching you how to create measures and dimensions, two essential concepts in data visualization.
For more career information including salaries, visit:
OpenCourser.com/course/09o41k/creating
Reading list
We've selected 12 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
Creating Measures and Dimensions Using LookML.
Save
This guide provides a collection of best practices for getting the most out of Looker.
Provides a practical framework for designing agile data warehouses that are responsive to changing business needs. It explores iterative development techniques and best practices for building data warehouses that support rapid decision-making.
As a foundational book, this provides a solid understanding of data warehousing concepts and methodologies. It explores various data structures, modeling techniques, and best practices, providing valuable background knowledge for comprehending the concepts covered in this course.
Offers a comprehensive guide to creating effective data visualizations, exploring various design principles and best practices. It helps you understand how to convey insights clearly and effectively through visual representations.
Offers a business-oriented perspective on data modeling, focusing on how data can support decision-making and drive organizational success. It provides practical guidance for creating data models that align with business objectives.
Offers a practical guide to creating interactive data visualizations using Python and JavaScript. It covers various libraries and techniques for building charts, dashboards, and other visualizations.
Save
Provides a practical guide to data visualization techniques and tools. It covers various types of charts, graphs, and other visualizations, offering guidance on choosing the right visualization for different types of data.
This classic book provides comprehensive coverage of data warehouse design and implementation, offering practical guidance and best practices. It explores various data modeling techniques and technologies, helping you build robust and scalable data warehouses.
This textbook provides a comprehensive introduction to data science concepts and techniques. It covers various aspects of data science, including data collection, analysis, and visualization, offering a solid foundation for further exploration.
This guide provides a technical overview of Looker for developers, including how to use the Looker API and SDKs.
This online forum great place to ask questions and get help from other Looker users.
The official Looker documentation great resource for learning about all aspects of Looker.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/09o41k/creating
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser