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Google Cloud Training
This is a Google Cloud Self-Paced Lab. In this lab, you create SQL derived and native derived tables in LookML to define new tables that do not already exist in the underlying database.
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OpenCourser.com/course/d9zglo/creating
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What's inside
Syllabus
Creating Derived Tables Using LookML
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for beginners new to SQL derived tables
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Save Creating Derived Tables Using LookML 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 Creating Derived Tables Using LookML with these
activities:
Review the basics of SQL and LookML
Show steps
Strengthen your foundational understanding of SQL and LookML before diving into derived tables.
Show steps
-
Go through online tutorials or documentation on SQL and LookML
-
Review your notes or previous coursework on SQL and LookML
Explore Google Cloud's documentation on derived tables
Show steps
Review the official Google Cloud documentation to gain a deeper understanding of derived tables and how to use them effectively.
Show steps
-
Visit the Google Cloud Derived Tables documentation page
-
Read through the sections on creating and using derived tables in LookML
-
Try out the code examples provided in the documentation
Create derived tables using LookML
Show steps
Practice creating and using derived tables in LookML to solidify your understanding.
Show steps
-
Create a new LookML model in the Google Cloud Looker interface
-
Write LookML code to create a derived table
-
Use the derived table in a Looker visualization
-
Try creating different types of derived tables
-
Experiment with using derived tables to solve complex data analysis problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a workshop on derived tables
Show steps
Enhance your understanding of derived tables by attending a workshop led by industry experts.
Show steps
-
Research and identify workshops related to derived tables
-
Register for a workshop
-
Attend the workshop and actively participate
Solve coding challenges related to derived tables
Show steps
Test your understanding of derived tables by solving coding challenges that involve their implementation.
Show steps
-
Find coding challenges related to derived tables on platforms like LeetCode or HackerRank
-
Attempt to solve the coding challenges on your own
-
Review your solutions and identify areas for improvement
-
Discuss your solutions with other learners or mentors
Write a blog post or article about derived tables
Show steps
Share your knowledge of derived tables by writing a blog post or article that explains their benefits and how to use them.
Show steps
-
Choose a topic related to derived tables
-
Research and gather information on the topic
-
Write an outline for your blog post or article
-
Draft your content
-
Edit and proofread your work
-
Publish your blog post or article
Contribute to open-source projects related to derived tables
Show steps
Make a meaningful contribution to the open-source community by working on projects related to derived tables.
Show steps
-
Identify open-source projects related to derived tables
-
Choose a project to contribute to
-
Fork the project repository
-
Make changes to the codebase
-
Submit a pull request
Mentor a junior developer or data analyst on derived tables
Show steps
Share your expertise and help others build their knowledge of derived tables through mentorship.
Show steps
-
Identify a junior developer or data analyst who is interested in learning about derived tables
-
Set up a mentorship schedule and plan
-
Share your knowledge and experience with the mentee
-
Provide guidance and support as the mentee works on projects involving derived tables
Review the basics of SQL and LookML
Show steps
Strengthen your foundational understanding of SQL and LookML before diving into derived tables.
Show steps
Show steps
Show steps
- Go through online tutorials or documentation on SQL and LookML
- Review your notes or previous coursework on SQL and LookML
Explore Google Cloud's documentation on derived tables
Show steps
Review the official Google Cloud documentation to gain a deeper understanding of derived tables and how to use them effectively.
Show steps
Show steps
Show steps
- Visit the Google Cloud Derived Tables documentation page
- Read through the sections on creating and using derived tables in LookML
- Try out the code examples provided in the documentation
Create derived tables using LookML
Show steps
Practice creating and using derived tables in LookML to solidify your understanding.
Show steps
Show steps
Show steps
- Create a new LookML model in the Google Cloud Looker interface
- Write LookML code to create a derived table
- Use the derived table in a Looker visualization
- Try creating different types of derived tables
- Experiment with using derived tables to solve complex data analysis problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a workshop on derived tables
Show steps
Enhance your understanding of derived tables by attending a workshop led by industry experts.
Show steps
Show steps
Show steps
- Research and identify workshops related to derived tables
- Register for a workshop
- Attend the workshop and actively participate
Solve coding challenges related to derived tables
Show steps
Test your understanding of derived tables by solving coding challenges that involve their implementation.
Show steps
Show steps
Show steps
- Find coding challenges related to derived tables on platforms like LeetCode or HackerRank
- Attempt to solve the coding challenges on your own
- Review your solutions and identify areas for improvement
- Discuss your solutions with other learners or mentors
Write a blog post or article about derived tables
Show steps
Share your knowledge of derived tables by writing a blog post or article that explains their benefits and how to use them.
Show steps
Show steps
Show steps
- Choose a topic related to derived tables
- Research and gather information on the topic
- Write an outline for your blog post or article
- Draft your content
- Edit and proofread your work
- Publish your blog post or article
Contribute to open-source projects related to derived tables
Show steps
Make a meaningful contribution to the open-source community by working on projects related to derived tables.
Show steps
Show steps
Show steps
- Identify open-source projects related to derived tables
- Choose a project to contribute to
- Fork the project repository
- Make changes to the codebase
- Submit a pull request
Mentor a junior developer or data analyst on derived tables
Show steps
Share your expertise and help others build their knowledge of derived tables through mentorship.
Show steps
Show steps
Show steps
- Identify a junior developer or data analyst who is interested in learning about derived tables
- Set up a mentorship schedule and plan
- Share your knowledge and experience with the mentee
- Provide guidance and support as the mentee works on projects involving derived tables
Career center
Learners who complete Creating Derived Tables Using LookML will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Create derived tables in LookML to build a data infrastructure for analysis. It allows you to define new tables based on existing data sources, helping you organize and prepare data for efficient data analysis and reporting. This course provides a strong foundation for Data Engineers who need to manage and transform data to meet specific business requirements.
Data Analyst
Data Analyst
Build derived tables in LookML to enhance data analysis and reporting capabilities. Derived tables allow you to create new tables based on existing data sources, enabling you to explore and analyze data from different perspectives. This course provides valuable knowledge for Data Analysts who need to leverage LookML to gain deeper insights from data.
Business Intelligence Analyst
Business Intelligence Analyst
Create derived tables in LookML to support business intelligence initiatives. Derived tables help you define new tables based on existing data, allowing you to tailor data for specific business needs. This course offers a solid foundation for Business Intelligence Analysts who aim to leverage LookML to improve decision-making through data-driven insights.
Data Scientist
Data Scientist
Develop derived tables in LookML to facilitate advanced data science tasks. Derived tables enable you to create new tables based on existing data sources, allowing you to explore and analyze data from different angles. This course provides valuable knowledge for Data Scientists who seek to enhance their data manipulation and analysis skills using LookML.
Database Administrator
Database Administrator
Create derived tables in LookML to enhance database management capabilities. Derived tables allow you to define new tables based on existing data, helping you organize and optimize data storage. This course provides a solid foundation for Database Administrators who aim to leverage LookML to improve database performance and efficiency.
Data Architect
Data Architect
Develop derived tables in LookML to contribute to data architecture and design. Derived tables enable you to create new tables based on existing data sources, allowing you to define data models that meet specific business requirements. This course offers valuable knowledge for Data Architects who seek to enhance their skills in data modeling and architecture using LookML.
Software Engineer
Software Engineer
Utilize derived tables in LookML to support software development projects. Derived tables allow you to create new tables based on existing data sources, helping you integrate data into software applications. This course provides a good foundation for Software Engineers who aim to leverage LookML to enhance data management and analysis capabilities within software systems.
Data Integration Specialist
Data Integration Specialist
Create derived tables in LookML to facilitate data integration projects. Derived tables enable you to define new tables based on multiple data sources, allowing you to consolidate and transform data for analysis. This course offers valuable knowledge for Data Integration Specialists who seek to leverage LookML to streamline data integration processes and improve data quality.
Data Governance Analyst
Data Governance Analyst
Develop derived tables in LookML to support data governance initiatives. Derived tables allow you to create new tables based on existing data sources, helping you define data standards and ensure data quality. This course provides a solid foundation for Data Governance Analysts who aim to leverage LookML to improve data governance and compliance.
Business Analyst
Business Analyst
Create derived tables in LookML to enhance business analysis capabilities. Derived tables enable you to define new tables based on existing data, allowing you to tailor data for specific business needs. This course offers valuable knowledge for Business Analysts who seek to leverage LookML to improve decision-making through data-driven insights.
Data Warehouse Engineer
Data Warehouse Engineer
Develop derived tables in LookML to contribute to data warehouse design and implementation. Derived tables allow you to create new tables based on existing data sources, helping you optimize data storage and performance. This course provides a good foundation for Data Warehouse Engineers who aim to leverage LookML to enhance data warehouse capabilities and efficiency.
Database Developer
Database Developer
Create derived tables in LookML to support database development projects. Derived tables allow you to create new tables based on existing data, helping you define data models and optimize database performance. This course offers valuable knowledge for Database Developers who seek to leverage LookML to enhance data management and analysis capabilities within database systems.
Statistician
Statistician
Develop derived tables in LookML to facilitate statistical analysis and modeling. Derived tables allow you to create new tables based on existing data, helping you prepare data for statistical analysis and modeling. This course provides a good foundation for Statisticians who aim to leverage LookML to enhance their data manipulation and analysis skills.
Financial Analyst
Financial Analyst
Create derived tables in LookML to support financial analysis and reporting. Derived tables allow you to create new tables based on existing financial data, helping you analyze financial performance and make informed decisions. This course offers valuable knowledge for Financial Analysts who seek to leverage LookML to improve their data analysis and reporting capabilities.
Operations Research Analyst
Operations Research Analyst
Develop derived tables in LookML to support operations research and optimization modeling. Derived tables allow you to create new tables based on existing data, helping you prepare data for optimization and decision-making. This course provides a good foundation for Operations Research Analysts who aim to leverage LookML to enhance their data manipulation and analysis skills.
For more career information including salaries, visit:
OpenCourser.com/course/d9zglo/creating
Reading list
We've selected nine 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 Derived Tables Using LookML.
Provides a comprehensive overview of SQL, focusing on data analysis and business intelligence. It covers essential concepts and techniques, making it a valuable resource for understanding the fundamentals of SQL and its application in data management.
This classic book provides a comprehensive framework for designing and implementing data warehouses. It covers various aspects, including data modeling, ETL processes, and performance optimization. It is highly recommended for anyone interested in gaining a deep understanding of data warehouse concepts and best practices.
Offers a practical guide to data modeling, covering conceptual modeling, logical modeling, and physical modeling. It provides clear explanations and examples, making it a valuable resource for understanding the principles and techniques of data modeling.
This official documentation from Looker provides detailed technical information on the Looker platform, including its features, APIs, and development tools. It is essential for anyone looking to build custom applications or integrations with Looker.
Provides a comprehensive overview of data integration, covering various aspects, including data sources, data quality, and data governance. It offers valuable insights into the challenges and best practices of data integration in modern data architectures.
Save
This comprehensive guide provides a detailed overview of data visualization techniques, covering various types of charts, graphs, and dashboards. It offers practical insights into the principles and best practices of effective data visualization for communicating insights.
Provides a comprehensive guide to using Python for data science, covering data manipulation, analysis, visualization, and machine learning. It valuable resource for anyone looking to apply Python in data science projects.
Offers a practical guide to applying data science in business contexts. It covers various aspects, including data mining, predictive modeling, and decision-making. It valuable resource for anyone looking to leverage data science for business growth and improvement.
Save
This comprehensive book provides a detailed overview of the R programming language, covering data analysis, visualization, and statistical modeling. It valuable resource for anyone looking to master R and apply it in data science projects.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/d9zglo/creating
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