Building Your First Amazon Redshift Data Warehouse from Pluralsight

Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high performance column-oriented SQL engine. Join data pro Russ Thomas on a demo-heavy dive into Redshift and build your first data warehouse on AWS.

Amazon Redshift brings the power of scale-out architecture to the world of traditional data warehousing. In Building Your First Amazon Redshift Data Warehouse, you will explore this low cost, cloud based storage that can be scaled up or down to meet your true size and performance needs. First, you will learn to stand up and configure a sample data warehouse. Next, you will explore the internal workings and architecture of Redshift and what makes it so fast. Finally, you will get hands on experience connecting, querying, and building BI and data viz products as well as learn how to secure, maintain, and administer your new platform. By the end of this course, you will be able to scale from gigabytes to petabytes on this high performance column-oriented SQL engine.

What's inside

Syllabus

Course Overview

Answering the Question: "Why Amazon Redshift?"

Populating Redshift

Connecting, Querying, and Consuming Data

Securing Your Data Warehouse

Exploring Advanced System Topics

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for beginners and developers looking to build data warehouses in AWS

Taught by experienced data pro Russ Thomas, enhancing the course credibility

Provides hands-on experience with connecting, querying, and building BI and data visualization products

Covers the architectural aspects and internal workings of Amazon Redshift, making it valuable for those seeking in-depth technical knowledge

May require students to have prior knowledge of data warehousing and SQL, as it's not explicitly stated as a prerequisite

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 Building Your First Amazon Redshift Data Warehouse with these activities:

Join a Redshift Study Group

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Connect with peers to discuss Redshift concepts, share knowledge, and work through challenges together.

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Find or create a study group
Set regular meeting times
Prepare topics for discussion

Attend a Redshift Workshop

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Attend a workshop to enhance your Redshift skills, learn best practices, and connect with experts.

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Find a relevant workshop
Register and attend the workshop
Take notes and ask questions

Connect to Redshift using SQL Workbench/J

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Practice connecting to Redshift using SQL Workbench/J to familiarize yourself with the interface and commands.

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Install SQL Workbench/J
Configure the Redshift connection
Run basic SQL queries

Five other activities

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Create and Populate Tables

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Gain hands-on experience with creating tables, loading data, and performing data manipulation operations in Redshift.

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Create a sample table
Insert data into the table
Query the table to verify data

Follow Tutorials on Redshift Optimization

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Seek out and follow tutorials to learn effective techniques for optimizing Redshift performance and efficiency.

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Identify areas for optimization
Research and find relevant tutorials
Follow the tutorials step-by-step

Build a Data Visualization Dashboard

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Create a visual representation of your Redshift data to enhance data insights and improve decision-making.

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Design the dashboard layout
Connect the dashboard to Redshift
Create visualizations
Publish and share the dashboard

Volunteer as a Redshift Mentor

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Share your knowledge and skills by volunteering as a mentor, helping others to learn and grow within the Redshift community.

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Identify mentoring opportunities
Prepare materials and resources
Connect with and support mentees

Contribute to Redshift Open Source Projects

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Dive deeper into Redshift by contributing to open source projects, enhancing your understanding and making valuable contributions.

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Find open source projects related to Redshift
Identify areas where you can contribute
Fork the project and make your changes
Submit a pull request

Career center

Learners who complete Building Your First Amazon Redshift Data Warehouse will develop knowledge and skills that may be useful to these careers:

Data Warehouse Architect

Data Warehouse Architects design and manage data warehouses, which are used to store and analyze large amounts of data. This course may be particularly useful for aspiring Data Warehouse Architects, as it provides hands-on experience with Amazon Redshift, a leading data warehousing solution.

See salaries and explore the career path for Data Warehouse Architect

Data Warehouse Engineer

Data Warehouse Engineers build and maintain data warehouses, which are used to store and analyze large amounts of data. This course may be particularly useful for aspiring Data Warehouse Engineers, as it provides hands-on experience with Amazon Redshift, a leading data warehousing solution.

See salaries and explore the career path for Data Warehouse Engineer

Data Scientist

Data Scientists use data to solve business problems and make informed decisions. This course may be particularly useful for those interested in becoming Data Scientists, as it provides hands-on experience with Amazon Redshift, a powerful tool for data analysis and visualization.

See salaries and explore the career path for Data Scientist

Big Data Engineer

Big Data Engineers build and maintain big data solutions, which are used to process and analyze large amounts of data. This course may be particularly useful for aspiring Big Data Engineers, as it provides hands-on experience with Amazon Redshift, a leading big data platform.

See salaries and explore the career path for Big Data Engineer

Data Analyst

Data Analysts use data to identify trends, patterns, and insights. This course may be particularly useful for those interested in becoming Data Analysts, as it provides hands-on experience with Amazon Redshift, a powerful tool for data analysis and visualization.

See salaries and explore the career path for Data Analyst

Big Data Architect

Big Data Architects design and manage big data solutions, which are used to process and analyze large amounts of data. This course may be useful for aspiring Big Data Architects, as it provides a foundation in Amazon Redshift, a popular database technology for big data processing.

See salaries and explore the career path for Big Data Architect

Data Engineer

Data Engineers are responsible for building and maintaining data pipelines that collect, process, and store data. This course may be particularly useful for those interested in becoming Data Engineers, as it provides hands-on experience with Amazon Redshift, a widely used data warehousing solution.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators are responsible for managing and maintaining databases, ensuring that they are performant, secure, and reliable. This course may be useful for aspiring Database Administrators, as it provides a foundation in Amazon Redshift, a powerful and scalable database platform.

See salaries and explore the career path for Database Administrator

Data Integration Engineer

Data Integration Engineers design and build data pipelines that integrate data from multiple sources. This course may be useful for aspiring Data Integration Engineers, as it provides a foundation in Amazon Redshift, a database platform that is often used in data integration scenarios.

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Data Science Manager

Data Science Managers lead and manage data science teams. This course may be useful for aspiring Data Science Managers, as it provides a foundation in Amazon Redshift, a database platform that is commonly used in data science projects.

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Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. This course may be useful for aspiring Data Governance Analysts, as it provides a foundation in Amazon Redshift, a data platform that supports data governance initiatives.

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Business Analyst

Business Analysts use data to understand business needs and develop solutions. This course may be useful for aspiring Business Analysts, as it provides a foundation in Amazon Redshift, a powerful tool for data analysis and visualization.

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Cloud Architect

Cloud Architects design and manage cloud computing solutions. This course may be useful for aspiring Cloud Architects, as it provides a foundation in Amazon Redshift, a powerful cloud-based data platform.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who are interested in working with data, as it provides a foundation in Amazon Redshift, a popular database platform for data warehousing and analysis.

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Data Architect

Data Architects are responsible for designing and managing data systems that meet the needs of an organization. This course may be useful for aspiring Data Architects, as it provides a foundation in Amazon Redshift, a powerful cloud data platform that can be used to build scalable and performant data warehouses.

See salaries and explore the career path for Data Architect