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Creating dynamic SQL derived tables with LookML and Liquid

Google Cloud Training

This is a Google Cloud Self-Paced Lab. In this lab you will learn how to create and update SQL derived tables to generate dynamic values.

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Syllabus

Creating dynamic SQL derived tables with LookML and Liquid

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for professionals who want to enhance their data analysis skills
Taught by Google Cloud Training, industry experts in cloud computing and analytics
Focused on a practical application of LookML and Liquid for dynamic SQL derived table creation

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Activities

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Career center

Learners who complete Creating dynamic SQL derived tables with LookML and Liquid will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They work to ensure that data is processed, transformed, and stored in a way that meets the needs of the organization. As a Data Engineer, you will be involved in all aspects of the data lifecycle. Your knowledge of Liquid and LookML will help you to create and manage dynamic SQL derived tables, which will enable you to work with complex data and build efficient data pipelines.
Data Analyst
Data Analysts play a key role in collecting, analyzing, interpreting, and presenting data to stakeholders. They use their analytical skills to identify trends, patterns, and insights that help inform decision-making. As a Data Analyst, you will often work with large and complex datasets. Your knowledge of Liquid and LookML will be essential for creating dynamic SQL derived tables, which will allow you to work with these datasets efficiently and effectively.
Database Developer
Database Developers are responsible for designing, developing, and maintaining database systems. They work to ensure that databases are scalable, reliable, and meet the needs of the organization. As a Database Developer, you will have a strong understanding of database design and administration. Your knowledge of Liquid and LookML will help you to create and manage dynamic SQL derived tables, which will enable you to work with complex data and build efficient database systems.
Analytical Developer
Analytical Developers specialize in creating databases, data warehouses, and data analysis tools. They often work in conjunction with Business Analysts, Data Scientists, and other team members to purpose technical solutions that meet business needs. As an Analytical Developer, your foundational knowledge of Liquid and LookML will be crucial for providing structured and consistent solutions. Furthermore, this course will help you build a solid foundation in creating dynamic SQL derived tables, which will allow you to work with large and complex datasets with ease.
Database Administrator
Database Administrators are responsible for deploying, maintaining, and managing an organization's database systems. They work to ensure the stability, integrity, and performance of the organization's data. As a Database Administrator, you will play a vital role in ensuring the reliability and availability of your organization's data. You will be able to leverage your knowledge of Liquid and LookML to create and manage dynamic SQL derived tables, which will enhance your ability to work with complex data and meet the needs of your users.
Business Analyst
Business Analysts work with stakeholders to understand their business needs and develop solutions that meet those needs. They use a variety of techniques, including data analysis, process mapping, and stakeholder interviews, to gather and document requirements. As a Business Analyst, you will need to have a strong understanding of business processes and requirements. Your knowledge of Liquid and LookML will help you to create and manage dynamic SQL derived tables, which will allow you to work with complex data and develop solutions that meet the needs of stakeholders.
Data Scientist
Data Scientists use their expertise in mathematics, statistics, and computer science to extract insights and knowledge from data. They work with a variety of data sources and technologies to build models and develop solutions that address business problems. As a Data Scientist, you will need to have a strong understanding of data analysis and modeling techniques. Your knowledge of Liquid and LookML will help you to create and manage dynamic SQL derived tables, which will allow you to work with large and complex datasets.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to build software solutions that meet the needs of users. As a Software Engineer, you may work on projects that involve data analysis and visualization. Your knowledge of Liquid and LookML will help you to create and manage dynamic SQL derived tables, which will allow you to work with large and complex datasets.
Web Developer
Web Developers design, develop, and maintain websites and web applications. They work with a variety of programming languages and technologies to build websites that are user-friendly, responsive, and meet the needs of users. As a Web Developer, you may work on projects that involve data visualization. Your knowledge of Liquid and LookML will help you to create and manage dynamic SQL derived tables, which will allow you to work with large and complex datasets.
Operations Manager
Operations Managers are responsible for the day-to-day operations of an organization. They work with a variety of departments, including finance, human resources, and marketing, to ensure that the organization runs smoothly. As an Operations Manager, you may use data to track the performance of your organization. Your knowledge of Liquid and LookML may be useful for creating and managing dynamic SQL derived tables, which can help you to analyze data and make informed decisions about your operations.
Product Manager
Product Managers are responsible for the planning, development, and launch of new products and features. They work with a variety of stakeholders, including engineers, designers, and marketers, to bring products to market that meet the needs of users. As a Product Manager, you will need to have a strong understanding of product development and management. Your knowledge of Liquid and LookML may be useful for creating and managing dynamic SQL derived tables, which can help you to analyze data and make informed decisions about product development.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. They work with customers to resolve issues, provide training, and build relationships. As a Customer Success Manager, you may use data to track the satisfaction of your customers. Your knowledge of Liquid and LookML may be useful for creating and managing dynamic SQL derived tables, which can help you to analyze data and make informed decisions about your customer success strategies.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with a variety of stakeholders, including project team members, clients, and stakeholders, to ensure that projects are completed on time, within budget, and to the satisfaction of stakeholders. As a Project Manager, you may use data to track the progress of your projects. Your knowledge of Liquid and LookML may be useful for creating and managing dynamic SQL derived tables, which can help you to analyze data and make informed decisions about your projects.
Sales Manager
Sales Managers are responsible for leading and managing sales teams. They work with sales representatives to develop and execute sales strategies, set sales targets, and close deals. As a Sales Manager, you may use data to track the performance of your sales team. Your knowledge of Liquid and LookML may be useful for creating and managing dynamic SQL derived tables, which can help you to analyze data and make informed decisions about your sales strategies.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns that promote products and services. They work with a variety of marketing channels, including social media, email, and paid advertising, to reach target audiences. As a Marketing Manager, you may use data to track the performance of your marketing campaigns. Your knowledge of Liquid and LookML may be useful for creating and managing dynamic SQL derived tables, which can help you to analyze data and make informed decisions about your marketing campaigns.

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 dynamic SQL derived tables with LookML and Liquid.
Provides a comprehensive overview of the principles and practices of designing data-intensive applications. It covers various topics such as data modeling, data storage, and data processing.
Provides a deep dive into the design and implementation of data-intensive applications. Very useful to provide more depth to the existing course.
Provides insight into the internal workings and performance characteristics of SQL Server, Very useful as a reference tool or to provide background knowledge on SQL Server, commonly used as a textbook at academic institutions and in the industry.
Provides a comprehensive guide to machine learning using Python. It covers various machine learning algorithms and techniques.
Offers a comprehensive overview of data mining techniques. It covers various topics such as data pre-processing, feature selection, and machine learning algorithms.
Provides a theoretical foundation for SQL. Very useful as a reference tool or to provide more depth to the existing course.
Offers a gentle introduction to data science, covering topics such as data exploration, machine learning, and data visualization. This can serve as a supplemental resource for those who want to gain a broader understanding of data science.
Provides valuable insights into common SQL pitfalls and how to avoid them. Very useful as a current reference or to provide more depth to the existing course.
While this course focuses on Looker, this book can be a valuable resource for those who want to learn about Power BI, another leading data visualization tool.

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