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Google Cloud Training
This is a Google Cloud Self-Paced Lab. In this lab, you will learn how to modularize LookML code with Extends.
Register for this course and see more details by visiting:
OpenCourser.com/course/4gnuyu/modularizing
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What's inside
Syllabus
Modularizing LookML Code with Extends
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops LookML modularization principles and techniques, which are essential for organizing and structuring LookML code for improved efficiency and maintainability
Imparts knowledge on extending LookML code, enhancing its reusability and flexibility for complex data modeling scenarios
Suitable for data analysts and business intelligence professionals seeking to enhance their LookML skills and optimize their data visualization and analysis processes
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Save Modularizing LookML Code with Extends to your list so you can find it easily later:
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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 Modularizing LookML Code with Extends with these
activities:
Review the basics of LookML
Show steps
Strengthen your foundation by revisiting the fundamental concepts of LookML, ensuring you have a solid understanding before delving into Extends.
Browse courses on
LookML
Show steps
-
Go through your previous notes or course materials on LookML.
-
Review online tutorials or documentation to refresh your memory.
-
Complete practice exercises or quizzes to assess your understanding.
Review course notes, assignments, and quizzes
Show steps
Solidify your understanding of the course material by reviewing and synthesizing your notes, assignments, and quizzes.
Show steps
-
Gather all your course materials, including notes, assignments, and quizzes.
-
Review the materials thoroughly, identifying key concepts and areas where you need further clarification.
-
Summarize and organize the information in a way that makes sense to you.
Find a mentor who can guide you in using LookML Extensions
Show steps
Connecting with an experienced mentor can provide valuable insights and support as you learn about LookML Extensions.
Show steps
-
Attend industry events or online forums to connect with potential mentors.
-
Reach out to individuals in your network who have experience with LookML Extensions.
-
Clearly articulate your goals and what you hope to gain from a mentorship.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Learn modular design principles
Show steps
Review the fundamental concepts of modular design, including the benefits, best practices, and potential pitfalls.
Browse courses on
Modular Design
Show steps
-
Review articles and tutorials on modular design principles.
-
Identify opportunities to apply modular design principles in your own work.
-
Practice implementing modular design patterns in sample projects.
Join a study group or online community focused on LookML Extensions
Show steps
Engaging with peers in a study group or online community can foster collaboration and provide diverse perspectives on using LookML Extensions.
Browse courses on
Peer Support
Show steps
-
Identify or create a study group or online community dedicated to LookML Extensions.
-
Participate actively in discussions, share your experiences, and ask questions.
-
Organize workshops or presentations to share knowledge with the group.
Follow tutorials on using Extends in LookML
Show steps
Gain hands-on experience with Extends by following guided tutorials that demonstrate its usage and benefits.
Show steps
-
Find tutorials that cover the specific use cases you are interested in.
-
Follow the tutorials step-by-step and implement the techniques in your own projects.
-
Experiment with different ways to use Extends to improve your LookML code.
Solve coding challenges involving LookML Extends
Show steps
Sharpen your problem-solving skills by attempting coding challenges that focus on applying LookML Extends to real-world scenarios.
Show steps
-
Identify coding challenges or practice problems that involve using LookML Extends.
-
Attempt to solve the challenges on your own, utilizing the documentation and resources available.
-
Compare your solutions with others and seek feedback to improve your approach.
Attend a workshop on LookML Extends
Show steps
Advance your knowledge and skills by attending a workshop specifically designed to cover LookML Extends.
Show steps
-
Find and register for a workshop that aligns with your learning goals.
-
Attend the workshop, actively participate in discussions, and take notes.
-
Implement the techniques and strategies learned in your own projects.
Write a blog post or article on the benefits of using Extends in LookML
Show steps
Enhance your understanding by explaining the benefits and use cases of LookML Extends through creating a blog post or article.
Show steps
-
Research the topic thoroughly to gather insights and examples.
-
Write a draft of your blog post or article, outlining the key points.
-
Edit and refine your writing, ensuring clarity and conciseness.
-
Publish your article on a relevant platform to share your knowledge.
Develop a personal project that utilizes LookML Extensions
Show steps
Embarking on a personal project that leverages LookML Extensions will challenge you to apply what you've learned and create something tangible.
Browse courses on
Project-Based Learning
Show steps
-
Brainstorm ideas for a project that aligns with your interests and learning goals.
-
Design and plan your project, outlining the specific use cases for LookML Extensions.
-
Implement your project, utilizing LookML Extensions to enhance its functionality.
-
Evaluate your project's outcomes and identify areas for improvement.
Participate in a coding competition that involves LookML Extends
Show steps
Test your skills and gain recognition by participating in a coding competition that challenges you to apply LookML Extends in innovative ways.
Show steps
-
Identify and register for a coding competition that involves LookML Extends.
-
Prepare for the competition by practicing and honing your skills.
-
Participate in the competition, giving your best effort and striving for excellence.
Review the basics of LookML
Show steps
Strengthen your foundation by revisiting the fundamental concepts of LookML, ensuring you have a solid understanding before delving into Extends.
Browse courses on
LookML
Show steps
Show steps
Show steps
- Go through your previous notes or course materials on LookML.
- Review online tutorials or documentation to refresh your memory.
- Complete practice exercises or quizzes to assess your understanding.
Review course notes, assignments, and quizzes
Show steps
Solidify your understanding of the course material by reviewing and synthesizing your notes, assignments, and quizzes.
Show steps
Show steps
Show steps
- Gather all your course materials, including notes, assignments, and quizzes.
- Review the materials thoroughly, identifying key concepts and areas where you need further clarification.
- Summarize and organize the information in a way that makes sense to you.
Find a mentor who can guide you in using LookML Extensions
Show steps
Connecting with an experienced mentor can provide valuable insights and support as you learn about LookML Extensions.
Show steps
Show steps
Show steps
- Attend industry events or online forums to connect with potential mentors.
- Reach out to individuals in your network who have experience with LookML Extensions.
- Clearly articulate your goals and what you hope to gain from a mentorship.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Learn modular design principles
Show steps
Review the fundamental concepts of modular design, including the benefits, best practices, and potential pitfalls.
Browse courses on
Modular Design
Show steps
Show steps
Show steps
- Review articles and tutorials on modular design principles.
- Identify opportunities to apply modular design principles in your own work.
- Practice implementing modular design patterns in sample projects.
Join a study group or online community focused on LookML Extensions
Show steps
Engaging with peers in a study group or online community can foster collaboration and provide diverse perspectives on using LookML Extensions.
Browse courses on
Peer Support
Show steps
Show steps
Show steps
- Identify or create a study group or online community dedicated to LookML Extensions.
- Participate actively in discussions, share your experiences, and ask questions.
- Organize workshops or presentations to share knowledge with the group.
Follow tutorials on using Extends in LookML
Show steps
Gain hands-on experience with Extends by following guided tutorials that demonstrate its usage and benefits.
Show steps
Show steps
Show steps
- Find tutorials that cover the specific use cases you are interested in.
- Follow the tutorials step-by-step and implement the techniques in your own projects.
- Experiment with different ways to use Extends to improve your LookML code.
Solve coding challenges involving LookML Extends
Show steps
Sharpen your problem-solving skills by attempting coding challenges that focus on applying LookML Extends to real-world scenarios.
Show steps
Show steps
Show steps
- Identify coding challenges or practice problems that involve using LookML Extends.
- Attempt to solve the challenges on your own, utilizing the documentation and resources available.
- Compare your solutions with others and seek feedback to improve your approach.
Attend a workshop on LookML Extends
Show steps
Advance your knowledge and skills by attending a workshop specifically designed to cover LookML Extends.
Show steps
Show steps
Show steps
- Find and register for a workshop that aligns with your learning goals.
- Attend the workshop, actively participate in discussions, and take notes.
- Implement the techniques and strategies learned in your own projects.
Write a blog post or article on the benefits of using Extends in LookML
Show steps
Enhance your understanding by explaining the benefits and use cases of LookML Extends through creating a blog post or article.
Show steps
Show steps
Show steps
- Research the topic thoroughly to gather insights and examples.
- Write a draft of your blog post or article, outlining the key points.
- Edit and refine your writing, ensuring clarity and conciseness.
- Publish your article on a relevant platform to share your knowledge.
Develop a personal project that utilizes LookML Extensions
Show steps
Embarking on a personal project that leverages LookML Extensions will challenge you to apply what you've learned and create something tangible.
Browse courses on
Project-Based Learning
Show steps
Show steps
Show steps
- Brainstorm ideas for a project that aligns with your interests and learning goals.
- Design and plan your project, outlining the specific use cases for LookML Extensions.
- Implement your project, utilizing LookML Extensions to enhance its functionality.
- Evaluate your project's outcomes and identify areas for improvement.
Participate in a coding competition that involves LookML Extends
Show steps
Test your skills and gain recognition by participating in a coding competition that challenges you to apply LookML Extends in innovative ways.
Show steps
Show steps
Show steps
- Identify and register for a coding competition that involves LookML Extends.
- Prepare for the competition by practicing and honing your skills.
- Participate in the competition, giving your best effort and striving for excellence.
Career center
Learners who complete Modularizing LookML Code with Extends will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge of data to provide insights and help businesses make better decisions. This course can help aspiring Data Analysts learn how to modularize LookML code using Extends, a skill that is highly valued in the field. By taking this course, learners can build a foundation in LookML and gain experience with a tool that is widely used in the industry.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. This course can help aspiring Data Engineers learn how to modularize LookML code using Extends, a skill that is in high demand in the field. By taking this course, learners can gain experience with LookML and build a foundation in data engineering.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This course can help aspiring Business Intelligence Analysts learn how to modularize LookML code using Extends, a skill that is essential for success in the field. By taking this course, learners can gain experience with LookML and build a foundation in business intelligence.
Data Scientist
Data Scientist
Data Scientists use data to solve complex problems and create new insights. This course can help aspiring Data Scientists learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in data science.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help aspiring Software Engineers learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in software engineering.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course can help aspiring Database Administrators learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in database administration.
Data Architect
Data Architect
Data Architects design and build data systems. This course can help aspiring Data Architects learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in data architecture.
Data Visualization Engineer
Data Visualization Engineer
Data Visualization Engineers design and create data visualizations. This course can help aspiring Data Visualization Engineers learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in data visualization engineering.
Big Data Engineer
Big Data Engineer
Big Data Engineers design and build big data systems. This course can help aspiring Big Data Engineers learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in big data engineering.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. This course can help aspiring Machine Learning Engineers learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in machine learning engineering.
Data Scientist Intern
Data Scientist Intern
Data Scientist Interns learn about the field of data science and gain experience working on real-world data science projects. This course can help aspiring Data Scientist Interns learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in data science.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. This course can help aspiring Business Analysts learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in business analysis.
Data Management Analyst
Data Management Analyst
Data Management Analysts design and implement data management systems. This course can help aspiring Data Management Analysts learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in data management.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies. This course can help aspiring Data Governance Analysts learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in data governance.
Data Ethics Analyst
Data Ethics Analyst
Data Ethics Analysts develop and implement data ethics policies. This course may help aspiring Data Ethics Analysts learn how to modularize LookML code using Extends, a skill that is increasingly important in the field. By taking this course, learners can gain experience with LookML and build a foundation in data ethics.
For more career information including salaries, visit:
OpenCourser.com/course/4gnuyu/modularizing
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
Modularizing LookML Code with Extends.
Provides a comprehensive overview of LookML, the modeling language used in Looker. It covers the basics of LookML, including data modeling, exploration, and visualization. This book useful reference for data analysts who want to learn more about LookML.
Provides a comprehensive guide to Looker for data analysts, covering topics such as data exploration, data visualization, and data analysis. This book valuable resource for data analysts who want to use Looker to get insights from their data.
Save
Provides a collection of best practices for using Looker, including tips on data modeling, exploration, and visualization. This book useful resource for data analysts and engineers who want to get the most out of Looker.
Provides a guide for developers who want to build custom applications and integrations with Looker. This book useful resource for developers who want to extend the functionality of Looker.
Provides a comprehensive overview of data warehouse design.
Save
Provides a comprehensive overview of R for data science.
Provides a comprehensive overview of machine learning for data science.
Save
Provides a comprehensive overview of deep learning for data science.
Provides a comprehensive overview of data visualization with Tableau.
Provides a comprehensive overview of business intelligence with Power BI.
Save
Provides a comprehensive overview of SQL for data analysis.
Provides a comprehensive overview of Python for data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4gnuyu/modularizing
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops LookML modularization principles and techniques, which are essential for organizing and structuring LookML code for improved efficiency and maintainability
Imparts knowledge on extending LookML code, enhancing its reusability and flexibility for complex data modeling scenarios
Suitable for data analysts and business intelligence professionals seeking to enhance their LookML skills and optimize their data visualization and analysis processes
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