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Creating dynamic SQL derived tables with LookML and Liquid

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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What's inside

Syllabus

Creating dynamic SQL derived tables with LookML and Liquid

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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

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 dynamic SQL derived tables with LookML and Liquid with these activities:

Review core concepts related to SQL derived tables

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Strengthen your foundational understanding of SQL derived tables, LookML, and Liquid by revisiting key concepts and principles.

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Go through your course materials and notes
Review online articles and documentation
Participate in discussions or forums to clarify your understanding

Engage in peer discussion on real-world applications of dynamic SQL derived tables

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Collaborate with peers to exchange ideas, share experiences, and discuss practical applications of dynamic SQL derived tables, enriching your understanding.

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Join or create a study group
Identify a topic for discussion
Prepare and present your perspectives
Engage in active listening and ask clarifying questions

Practice creating SQL derived tables using LookML and Liquid

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This hands-on exercise will help you strengthen your understanding of creating dynamic SQL derived tables and enhance your proficiency in using LookML and Liquid.

Browse courses on LookML

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Set up your practice environment
Create a sample dataset
Work through examples of creating derived tables with LookML and Liquid
Experiment with different scenarios to observe the impact on derived table results

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Create a comprehensive study guide for dynamic SQL derived tables

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Organize and consolidate your learning resources into a structured study guide, enhancing your ability to revisit and reinforce key concepts.

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Gather relevant materials, including course notes, articles, and tutorials
Organize the materials into logical sections and subsections
Summarize and synthesize the information
Create practice exercises or review questions to test your understanding

Explore advanced tutorials on dynamic SQL derived tables

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Enhance your knowledge and skills by working through comprehensive tutorials that cover advanced techniques and best practices for creating and managing dynamic SQL derived tables.

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Locate relevant tutorials online or through recommended resources
Follow the tutorials step-by-step to apply advanced concepts
Experiment with the techniques and scenarios presented in the tutorials

Develop a data visualization to illustrate dynamic SQL derived table results

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Reinforce your understanding by creating a visual representation of the results obtained from dynamic SQL derived tables, allowing you to identify patterns and insights more effectively.

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Choose an appropriate visualization tool
Connect the tool to your data source
Create a data visualization based on the derived table results
Analyze and interpret the visualization to draw meaningful conclusions

Build a small-scale project that utilizes dynamic SQL derived tables

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Apply your knowledge of dynamic SQL derived tables by implementing them in a practical project, solidifying your understanding and enhancing your employability.

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Identify a problem or opportunity that can be addressed using dynamic SQL derived tables
Design and plan your project, including data sources, tools, and evaluation metrics
Implement your project, ensuring proper use of dynamic SQL derived tables
Test and evaluate your project's functionality and effectiveness

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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

Designing Data-Intensive Applications

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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.

Creating dynamic SQL derived tables with LookML and Liquid

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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