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Employing Best Practices for Improving the Usability of LookML Projects

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to improve the usability and sustainability of LookML projects.

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What's inside

Syllabus

Employing Best Practices for Improving the Usability of LookML Projects

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Helps developers make data more accessible to facilitate more data-driven decisions
Promotes sustainable LookML practices to improve resource utilization and reduce environmental impact
Hands-on labs provide practical experience with concepts and techniques

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Activities

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Career center

Learners who complete Employing Best Practices for Improving the Usability of LookML Projects will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts translate raw data into insights that drive business decisions. With LookML, a business intelligence and data visualization tool, this course can help you develop the skills needed to write complex data models, create visualizations, and analyze data to uncover patterns and trends. As a Data Analyst, you would use this knowledge to transform data into actionable insights for your organization.
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that can help businesses make better decisions. The concepts and skills learned in this course will provide a solid foundation for a career as a Business Intelligence Analyst. You will learn how to use LookML to build data models, create visualizations, and analyze data to extract meaningful insights that can drive business growth.
Data Scientist
Data Scientists use machine learning and statistical modeling to solve complex business problems. This course will help you build the foundation necessary to succeed in this field. You will learn about data modeling, data visualization, and data analysis techniques that are essential for Data Scientists.
Data Engineer
Data Engineers design and build the infrastructure that supports data-driven organizations. This course will introduce you to the principles of data engineering and provide hands-on experience with LookML, a tool for building data models and visualizations. With these skills, you can build a strong foundation for a career as a Data Engineer and contribute to the success of data-driven businesses.
Data Architect
Data Architects design and manage the data infrastructure for organizations. This course will provide you with the knowledge and skills needed to succeed in this role. You will learn about data modeling, data governance, and data security, all of which are essential concepts for Data Architects.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will introduce you to the fundamentals of software engineering and provide hands-on experience with LookML, a tool for building data models and visualizations. These skills can be valuable for Software Engineers who work on data-driven applications.
Product Manager
Product Managers are responsible for the planning, development, and launch of new products. This course will provide you with the skills needed to succeed in this role. You will learn about market research, product design, and data analysis, all of which are essential concepts for Product Managers.
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing campaigns. This course will introduce you to the principles of marketing analytics and provide hands-on experience with LookML, a tool for building data models and visualizations. These skills can be valuable for Marketing Analysts who want to use data to drive more effective marketing campaigns.
Financial Analyst
Financial Analysts use data to make investment decisions. This course will introduce you to the principles of financial analysis and provide hands-on experience with LookML, a tool for building data models and visualizations. These skills can be valuable for Financial Analysts who want to use data to make more informed investment decisions.
Operations Research Analyst
Operations Research Analysts use data to solve complex business problems. This course will introduce you to the principles of operations research and provide hands-on experience with LookML, a tool for building data models and visualizations. These skills can be valuable for Operations Research Analysts who want to use data to improve the efficiency of their operations.
Actuary
Actuaries use data to assess risk and uncertainty. This course will provide you with the skills needed to succeed in this role. You will learn about probability, statistics, and data analysis, all of which are essential concepts for Actuaries.
Statistician
Statisticians use data to solve problems and make informed decisions. This course will provide you with the skills needed to succeed in this role. You will learn about probability, statistics, and data analysis, all of which are essential concepts for Statisticians.
Epidemiologist
Epidemiologists use data to study the causes and spread of disease. This course will introduce you to the principles of epidemiology and provide hands-on experience with LookML, a tool for building data models and visualizations. These skills can be valuable for Epidemiologists who want to use data to improve public health.
Health Economist
Health Economists use data to analyze the cost and effectiveness of healthcare interventions. This course will introduce you to the principles of health economics and provide hands-on experience with LookML, a tool for building data models and visualizations. These skills can be valuable for Health Economists who want to use data to improve the efficiency of healthcare systems.
Biostatistician
Biostatisticians use data to solve problems in the life sciences. This course will provide you with the skills needed to succeed in this role. You will learn about probability, statistics, and data analysis, all of which are essential concepts for Biostatisticians.

Reading list

We've selected eight 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 Employing Best Practices for Improving the Usability of LookML Projects.
Provides a comprehensive overview of BigQuery, Google's cloud-based data warehouse. It covers a wide range of topics, including data ingestion, data processing, and data analytics.
Provides a comprehensive overview of the design of data-intensive applications. It covers a wide range of topics, including data modeling, data storage, and data processing.
Provides a comprehensive overview of big data principles and best practices. It covers a wide range of topics, including data engineering, data analytics, and data visualization.
Provides a comprehensive overview of data visualization with Tableau. It covers a wide range of topics, including data preparation, chart design, and dashboard design.
Provides a comprehensive overview of SQL, the most widely used language for data analysis. It valuable resource for anyone who wants to learn how to use SQL to query and manipulate data.
Provides a comprehensive overview of data warehousing fundamentals, including data modeling, data integration, and data quality. It valuable resource for anyone who wants to learn how to design and build data warehouses.
Provides a comprehensive overview of data visualization, including the principles of design, the different types of charts and graphs, and how to use data visualization to communicate data effectively.

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