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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.

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What's inside

Syllabus

Creating Measures and Dimensions Using LookML

Good to know

Know what's good
, what to watch for
, 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

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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 Creating Measures and Dimensions Using LookML with these activities:
Organize Class Notes
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
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
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
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
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
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

Career center

Learners who complete Creating Measures and Dimensions Using LookML will develop knowledge and skills that may be useful to these careers:
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.
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 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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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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.
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.

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