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Building Your First Amazon Redshift Data Warehouse

Russ Thomas

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.

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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.

This course is no longer available. Find something similar by browsing:
Amazon Redshift Data Warehousing SQL Data Visualization Data Security Big Data Cloud Computing

What's inside

Syllabus

Course Overview
Answering the Question: "Why Amazon Redshift?"
Populating Redshift
Connecting, Querying, and Consuming Data
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Traffic lights

Read about what's good
what should give you pause
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

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Reviews summary

Building redshift: a solid professional foundation

According to students, this course provides a strong and practical introduction to building a data warehouse with Amazon Redshift. Learners particularly praise the clear explanations from the instructor, Russ Thomas, and the effective hands-on demos that facilitate learning by doing. The course covers foundational aspects like architecture, data population, querying, and security, making it ideal for those new to Redshift. While it excels at delivering its promise of building a 'first' data warehouse, some advanced practitioners note that it lacks deeper dives into complex optimization or cutting-edge features. Additionally, a few suggest the content could benefit from periodic updates to align with the rapid evolution of AWS services.
Thoroughly covers foundational Redshift concepts including architecture and security.
"I found the content on Redshift architecture and internal workings incredibly insightful."
"Good coverage of security too."
"It covers the fundamentals very well, including populating data and connecting data visualization tools."
Instructor Russ Thomas provides clear and knowledgeable explanations.
"Russ does a great job explaining the concepts from scratch."
"Russ is a knowledgeable and clear instructor."
"The instructor's explanations were generally good."
Features highly effective and practical hands-on exercises and demos.
"The hands-on demos really helped me build my first data warehouse step-by-step."
"The labs are well-paced and effective, allowing me to apply what I learned immediately."
"I appreciated the focus on real-world application."
Provides a clear and effective entry point to Amazon Redshift.
"This course is a fantastic introduction to Amazon Redshift."
"Excellent primer for anyone needing to get up to speed with Redshift quickly."
"The course delivers exactly what it promises: building my first Redshift DW."
May assume some prior AWS or general cloud knowledge.
"I struggled a bit with some of the prerequisites regarding AWS IAM. It assumes a little more prior AWS knowledge than I had."
"Good for beginners, but those with some experience might find parts too basic."
Some content may require updates to reflect recent AWS changes.
"While the course covers the basics, some of the information felt a bit outdated with recent AWS changes."
"It needs to be updated to reflect the latest Redshift features and best practices."
Could benefit from more in-depth coverage of advanced optimization.
"I felt it could have gone deeper into optimization techniques for larger datasets."
"I wish there were more advanced examples for complex queries or specific use cases."
"The course did not delve deep enough into advanced Redshift features like concurrency scaling or materialized views."

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
Connect with peers to discuss Redshift concepts, share knowledge, and work through challenges together.
Browse courses on Collaboration
Show steps
  • Find or create a study group
  • Set regular meeting times
  • Prepare topics for discussion
Attend a Redshift Workshop
Attend a workshop to enhance your Redshift skills, learn best practices, and connect with experts.
Show steps
  • Find a relevant workshop
  • Register and attend the workshop
  • Take notes and ask questions
Connect to Redshift using SQL Workbench/J
Practice connecting to Redshift using SQL Workbench/J to familiarize yourself with the interface and commands.
Show steps
  • Install SQL Workbench/J
  • Configure the Redshift connection
  • Run basic SQL queries
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create and Populate Tables
Gain hands-on experience with creating tables, loading data, and performing data manipulation operations in Redshift.
Show steps
  • Create a sample table
  • Insert data into the table
  • Query the table to verify data
Follow Tutorials on Redshift Optimization
Seek out and follow tutorials to learn effective techniques for optimizing Redshift performance and efficiency.
Show steps
  • Identify areas for optimization
  • Research and find relevant tutorials
  • Follow the tutorials step-by-step
Build a Data Visualization Dashboard
Create a visual representation of your Redshift data to enhance data insights and improve decision-making.
Browse courses on Data Visualization
Show steps
  • Design the dashboard layout
  • Connect the dashboard to Redshift
  • Create visualizations
  • Publish and share the dashboard
Volunteer as a Redshift Mentor
Share your knowledge and skills by volunteering as a mentor, helping others to learn and grow within the Redshift community.
Browse courses on Mentoring
Show steps
  • Identify mentoring opportunities
  • Prepare materials and resources
  • Connect with and support mentees
Contribute to Redshift Open Source Projects
Dive deeper into Redshift by contributing to open source projects, enhancing your understanding and making valuable contributions.
Browse courses on Open Source
Show steps
  • 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 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 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 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 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 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 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.
See salaries and explore the career path for Data Integration Engineer
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.
See salaries and explore the career path for Cloud Architect
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.
See salaries and explore the career path for Business Analyst
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.
See salaries and explore the career path for Data Science Manager
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.
See salaries and explore the career path for Data Governance Analyst
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.
See salaries and explore the career path for Software Engineer
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

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 Building Your First Amazon Redshift Data Warehouse.
Cover image
Designing Data-Intensive Applications
Save
Introduces the concepts and techniques for building reliable, scalable, efficient systems. It covers data modeling, partitioning, replication, and other important topics.
Designing Data-Intensive Applications: The Big...
Paperback
$$
Designing Data-Intensive Applications: The Big...
Kindle Edition
$$
Cover image
Big Data
Save
Provides a deep dive into the principles and technologies behind big data systems. It covers topics such as data processing, storage, and analytics.
Big Data: Principles and best practices of scalable...
Paperback
$$
(Deutsch) Big Data: Entwicklung und Programmierung von...
Perfect Paperback
$$$
Big Data: Principles and best practices of scalable...
Kindle Edition
$$
Cover image
Data Warehousing Fundamentals for IT Professionals
Save
Provides a comprehensive overview of data warehousing concepts and techniques, including data modeling, ETL, and data quality.
Data Warehousing Fundamentals for IT Professionals
Hardcover
$$$
Data Warehousing Fundamentals: A Comprehensive...
Hardcover
$$
Data Warehousing Fundamentals for IT Professionals
Kindle Edition
$$$$
Cover image
AWS Certified Solutions Architect Official Study...
Save
An official study guide for the AWS Certified Solutions Architect exam. It covers the core concepts of AWS cloud computing, including data warehousing.
AWS Certified Solutions Architect Official Study...
Paperback
$$$
Cover image
Hadoop: The Definitive Guide
Save
A comprehensive reference guide to Hadoop, including its architecture, components, and use cases. It is particularly useful for readers who want to build and manage Hadoop clusters.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Advanced Analytics with PySpark
Save
Covers advanced analytics techniques for Hadoop, including machine learning, data mining, and predictive modeling.
Advanced Analytics with PySpark: Patterns for...
Paperback
$$
Advanced Analytics with PySpark
Kindle Edition
$$
Cover image
Cloud Computing
Save
Provides a comprehensive overview of cloud computing concepts and technologies, including virtualization, storage, and networking.
Cloud Computing: Concepts, Technology, Security &...
Kindle Edition
$
Cloud Computing: Concepts, Technology, Security,...
Kindle Edition
$$
Cover image
Fundamentals of Database Systems, Global Edition
Save
A classic textbook that covers the fundamental concepts of database systems. It useful reference for understanding the underlying principles of data warehousing.
Fundamentals of Database Systems, Global Edition
Paperback
$$$
Cover image
Learning Snowflake SQL and Scripting
Save
A beginner-friendly guide to SQL, the standard language for querying and manipulating data in relational databases.
Learning Snowflake SQL and Scripting: Generate,...
Paperback
$$
Learning Snowflake SQL and Scripting
Kindle Edition
$$

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Course image
Time
160 hours
Level
Intermediate
Via
Pluralsight
Instructor
Russ Thomas
Language
English
This course belongs to a collection called AWS Big Data. It's comprised of nine courses:
  1. Getting Started with AWS Athena
  2. Implementing Amazon S3 Storage on AWS
  3. Building Your First Amazon Redshift Data Warehouse (viewing)
  4. Developing Stream Processing Applications with AWS Kinesis
  5. AWS Big Data in Production
  6. Serverless Analytics on AWS
  7. Big Data on AWS: The Big Picture
  8. Handling and Analyzing Data with AWS Elastic MapReduce
  9. Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS
Traffic lights
Read about what's good
what should give you pause
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
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