High-performance Data Warehousing with Amazon Redshift from Pluralsight

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.

What's inside

Syllabus

Course Overview

Understanding What Makes Amazon Redshift Fast

Increasing Redshift Data Load Speeds

Designing Redshift Objects for Performance

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

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

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Review the fundamental principles of Big Data to refresh your understanding and prepare for this course.

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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

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Collaborate with peers to discuss concepts, share insights, and reinforce your understanding of the course material.

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Find a study group or create your own
Set regular meeting times
Take turns presenting and discussing different topics

Practice writing SQL queries

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Reinforce your understanding of SQL queries through practice to improve your proficiency and efficiency.

Browse courses on SQL Queries

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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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Attend a Redshift workshop

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Gain hands-on experience and learn advanced techniques by attending a Redshift workshop or training session.

Browse courses on Big Data Analytics

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Research and identify relevant Redshift workshops
Register for the workshop
Attend the workshop and actively participate

Design a data warehousing solution

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Apply your knowledge to a practical scenario by designing a data warehousing solution using Redshift.

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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

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Apply your skills to a real-world project by building a data analytics dashboard using Redshift.

Browse courses on Data Visualization

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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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Cloud Engineer

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.

See salaries and explore the career path for Data Scientist

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.

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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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Systems Analyst

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.

See salaries and explore the career path for Information Architect

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.

See salaries and explore the career path for DevOps Engineer

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Database Administrator

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.

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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.

See salaries and explore the career path for IT Manager

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.

See salaries and explore the career path for Information Systems Manager

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.

See salaries and explore the career path for IT Director

High-performance Data Warehousing with Amazon Redshift

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