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Russ Thomas

Amazon Redshift has an excellent performance reputation, but not by accident. This course focuses on performance and related topics such as architecture, design, configuration best practices, query plans, performance monitoring, and troubleshooting.

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Amazon Redshift has an excellent performance reputation, but not by accident. This course focuses on performance and related topics such as architecture, design, configuration best practices, query plans, performance monitoring, and troubleshooting.

One of the greatest selling points of Amazon Redshift is its high-performance potential. While some of these performance aspects are a natural part of the architecture, there are many others that require proper understanding and application of knowledge. In this course, High-performance Data Warehousing with Amazon Redshift, you’ll learn the keys to getting the highest performance possible out of Amazon Redshift. First, you’ll learn how to implement distribution styles across your nodes to support massively parallel processing. Next, you’ll discover many best practices produced by the AWS labs team to troubleshoot your cluster and deliver lightning-fast aggregates. Finally, you'll develop performance monitoring dashboards using Redshift features such as workload management (WLM) and AWS services such as cloud formation and cloud watch. When you're finished with this course, you'll have a foundational understanding of architecture, design, and configuration best practices in Amazon Redshift.

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What's inside

Syllabus

Course Overview
Understanding What Makes Amazon Redshift Fast
Increasing Redshift Data Load Speeds
Designing Redshift Objects for Performance
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Writing Lightening Fast Queries, Aggregates, and Reports
Monitoring and Troubleshooting Redshift Performance Issues

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches how to execute Redshift data loads in an effective manner to save time and resources
Instructs on how to construct Redshift objects to make them more capable
Delivers a series of exercises to improve your performance when writing queries, aggregates, and reports
Takes an applicable approach to monitoring and troubleshooting Redshift performance issues
Instructs on designing tables and writing queries to take advantage of massively parallel processing
Teaches you how to implement workload management and AWS services to monitor your cluster

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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 High-performance Data Warehousing with Amazon Redshift with these activities:
Review Big Data concepts
Review the fundamental principles of Big Data to refresh your understanding and prepare for this course.
Show steps
  • Review articles on Big Data concepts
  • Take an online quiz on Big Data principles
  • Watch a video tutorial on Big Data basics
Join a study group
Collaborate with peers to discuss concepts, share insights, and reinforce your understanding of the course material.
Show steps
  • Find a study group or create your own
  • Set regular meeting times
  • Take turns presenting and discussing different topics
Practice writing SQL queries
Reinforce your understanding of SQL queries through practice to improve your proficiency and efficiency.
Browse courses on SQL Queries
Show steps
  • Solve SQL practice problems on an online platform
  • Review SQL query examples
  • Create your own SQL queries for a sample dataset
Three other activities
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Show all six activities
Attend a Redshift workshop
Gain hands-on experience and learn advanced techniques by attending a Redshift workshop or training session.
Browse courses on Big Data Analytics
Show steps
  • Research and identify relevant Redshift workshops
  • Register for the workshop
  • Attend the workshop and actively participate
Design a data warehousing solution
Apply your knowledge to a practical scenario by designing a data warehousing solution using Redshift.
Show steps
  • Define the requirements and scope of the data warehouse
  • Choose the appropriate Redshift architecture and configuration
  • Design the data model and tables
  • Load and test the data
  • Document the design and implementation
Build a data analytics dashboard
Apply your skills to a real-world project by building a data analytics dashboard using Redshift.
Browse courses on Data Visualization
Show steps
  • Identify the business requirements and metrics
  • Design the dashboard layout and visualizations
  • Extract and transform the data from Redshift
  • Build the dashboard using a visualization tool
  • Deploy the dashboard and monitor its performance

Career center

Learners who complete High-performance Data Warehousing with Amazon Redshift will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers collect and manage large volumes of structured and unstructured data. They use their knowledge of data engineering and programming to help integrate disparate sources of data into a single, cohesive system. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Cloud Engineer
Cloud Engineers build, maintain, and manage cloud-based systems. They use their expertise in cloud computing and infrastructure to develop and implement cloud-based solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Data Scientist
Data Scientists use their skills in machine learning, statistics, and programming to extract insights from data. They can work with data engineers and database administrators to develop and implement data-driven solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Cloud Architect
Cloud Architects design, build, and manage cloud-based solutions. They use their expertise in cloud computing and infrastructure to develop and implement cloud-based solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They use their expertise in machine learning, statistics, and programming to develop and deploy models that can solve business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Data Architect
Data Architects bridge the gap between business stakeholders and IT departments. Data Architects can work in teams with other technology professionals, such as database administrators, to design, build, and manage data systems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Systems Analyst
Systems Analysts analyze and design information systems. They use their expertise in systems analysis and design to develop and implement information systems that meet the needs of an organization. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Information Architect
Information Architects design and develop information systems. They use their expertise in information science and technology to develop and implement information systems that meet the needs of an organization. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
DevOps Engineer
DevOps Engineers work with software engineers and IT operations to build, deploy, and maintain software applications. They use their expertise in software development and IT operations to develop and implement DevOps solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Software Engineer
Software Engineers design, develop, and maintain software applications. They can work with data engineers and database administrators to develop and implement software solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Database Administrator
Database Administrators use their expertise in technology and data management to create, maintain, and manage databases. They ensure these databases are secure, operating efficiently, and recovering from any issues as rapidly as possible. This course, High-performance Data Warehousing with Amazon Redshift, may help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Web Developer
Web Developers design, develop, and maintain websites. They can work with data engineers and database administrators to develop and implement web-based solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
IT Manager
IT Managers plan, organize, and direct the activities of an organization's IT department. They use their expertise in technology and management to develop and implement IT solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
Information Systems Manager
Information Systems Managers plan, organize, and direct the activities of an organization's information systems department. They use their expertise in information systems and management to develop and implement information systems solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.
IT Director
IT Directors oversee the overall IT strategy and operations of an organization. They use their expertise in technology and management to develop and implement IT solutions to business problems. This course can help prepare you for this role by providing a foundational understanding of Amazon Redshift, including architecture, design, and configuration best practices.

Reading list

We've selected six 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 High-performance Data Warehousing with Amazon Redshift.
Provides prerequisite knowledge on data warehousing design.
A more advanced text by noted data architect Martin Kleppmann. This text would be of particular value to students seeking a deeper understanding of the technical underpinnings and architectures of modern, scalable data systems like Redshift.
A classic text on data warehouse design that would be particularly valuable to students who are interested in the design or modeling of enterprise data warehouses. This text is not specific to Redshift, but can provide valuable background on the tasks that Redshift can facilitate.
A text that would be beneficial for students who are seeking a deeper understanding of relational database design. While not specifically about data warehouses, the information in this book is applicable to the design of a Redshift data warehouse.
An official guide from Amazon Web Services providing a quick introduction to Amazon Redshift, covering its features and basic usage.

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