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Anthony Sequeira
Organizations want to develop a data warehouse solution that can meet the needs of the massive amount of data. This course will teach you how to make the most of AWS Redshift for the storage and retrieval of vast amounts of data.
Read more
Organizations want to develop a data warehouse solution that can meet the needs of the massive amount of data. This course will teach you how to make the most of AWS Redshift for the storage and retrieval of vast amounts of data.
Read more
Organizations want to develop a data warehouse solution that can meet the needs of the massive amount of data. This course will teach you how to make the most of AWS Redshift for the storage and retrieval of vast amounts of data.
While many AWS Solutions Architects and SysOps administrators understand the RDBMS systems, they have little experience with data warehouse solutions. In this, course, AWS Redshift: Best Practices, you’ll learn to design, deploy, and maintain AWS Redshift solutions. First, you’ll explore the basic components and architectures of Redshift. Next, you’ll discover the many best practices associated with querying and operating Redshift. Finally, you’ll learn how to secure and monitor AWS Redshift. When you’re finished with this course, you’ll have the skills and knowledge of the best practices of AWS Redshift. These skills are needed to ensure your Redshift solution is performance, operationally sound, highly available, secure, and cost effective.
Register for this course and see more details by visiting:
OpenCourser.com/course/0tl2b7/amazon
What's inside
Syllabus
Course Overview
Designing and Deploying AWS Redshift
Preparing and Migrating Data to AWS Redshift
Managing and Optimizing AWS Redshift
Read more
Syllabus
Course Overview
Designing and Deploying AWS Redshift
Preparing and Migrating Data to AWS Redshift
Managing and Optimizing AWS Redshift
Read more
Securing AWS Redshift
Monitoring and Auditing AWS Redshift
Troubleshooting AWS Redshift
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes performance, operational soundness, high availability, security, and cost-effectiveness, which aligns with industry best practices for data warehouse solutions
Instructors, Anthony Sequeira, specialize in AWS Redshift, indicating credibility and expertise in the course subject matter
Covers fundamental concepts and advanced practices for AWS Redshift, providing a comprehensive learning experience
Designed for AWS Solutions Architects and SysOps administrators, targeting professionals with relevant experience and knowledge in RDBMS systems
Provides practical skills in designing, deploying, and maintaining AWS Redshift solutions, enhancing job readiness and professional development
May require familiarity with basic data warehouse concepts and SQL as prerequisites
Save this course
Save Amazon Redshift: Best Practices to your list so you can find it easily later:
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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 Amazon Redshift: Best Practices with these
activities:
Gather AWS Redshift Resources
Show steps
Facilitates easy access to relevant materials. By compiling a collection of useful resources related to AWS Redshift, you can streamline your learning process and have quick references for future use.
Show steps
-
Search and gather documentation, articles, tutorials, and other materials
-
Organize and categorize the resources for easy navigation
Review Overview of Cloud Operations
Show steps
Activates prior knowledge of AWS and cloud operations. This will help solidify your understanding of fundamental concepts and prepare you to grasp more advanced topics in the AWS Redshift course.
Browse courses on
Cloud Operations
Show steps
-
Re-read the course overview
-
Review introductory materials from previous courses or online resources
Review RDBMS fundamentals
Show steps
Reviewing the fundamentals of RDBMS will help you better understand the concepts and principles of AWS Redshift.
Browse courses on
RDBMS
Show steps
-
Read through online documentation and tutorials on RDBMS concepts
-
Complete online quizzes and practice exercises on RDBMS
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice querying Redshift
Show steps
Regularly practicing querying Redshift will help you become more proficient in using the tool and understanding its capabilities.
Show steps
-
Set up a Redshift cluster and practice writing queries
-
Participate in online challenges and competitions that involve querying Redshift
Follow tutorials on advanced Redshift features
Show steps
Following tutorials on advanced Redshift features will help you explore the full potential of the tool and learn how to use it effectively for complex data warehousing tasks.
Show steps
-
Search for and identify tutorials on advanced Redshift features such as materialized views, columnar compression, and partitioning
-
Follow the tutorials step-by-step and practice implementing the techniques
Create a blog post or article on a Redshift-related topic
Show steps
Creating a blog post or article on a Redshift-related topic will help you solidify your understanding of the concepts and share your knowledge with others.
Show steps
-
Choose a specific Redshift-related topic that you are interested in and have a good understanding of
-
Research the topic thoroughly and gather relevant information
-
Write a well-structured and informative blog post or article
-
Publish your blog post or article on a relevant platform
Build a data warehouse using Redshift
Show steps
Building a data warehouse using Redshift will give you hands-on experience in designing, implementing, and managing a real-world data warehouse solution.
Show steps
-
Define the requirements and scope of your data warehouse
-
Design the data warehouse schema and architecture
-
Implement the data warehouse using Redshift
-
Load data into the data warehouse
-
Query and analyze the data in your data warehouse
Mentor other students who are learning Redshift
Show steps
Mentoring other students who are learning Redshift will help you deepen your understanding of the concepts, reinforce your knowledge, and develop your communication and teaching skills.
Show steps
-
Join a community or forum where students can ask questions about Redshift
-
Offer your help to students who are struggling with Redshift concepts
-
Provide guidance and support to students as they work on Redshift-related projects
Participate in data warehousing competitions
Show steps
Participating in data warehousing competitions will challenge you to apply your skills in a competitive environment and demonstrate your proficiency in Redshift and data warehousing concepts.
Show steps
-
Identify data warehousing competitions that are relevant to your skills and interests
-
Register for the competition and form a team or participate individually
-
Work on the competition project and develop a data warehousing solution using Redshift
-
Submit your solution and compete against other teams
Gather AWS Redshift Resources
Show steps
Facilitates easy access to relevant materials. By compiling a collection of useful resources related to AWS Redshift, you can streamline your learning process and have quick references for future use.
Show steps
Show steps
Show steps
- Search and gather documentation, articles, tutorials, and other materials
- Organize and categorize the resources for easy navigation
Review Overview of Cloud Operations
Show steps
Activates prior knowledge of AWS and cloud operations. This will help solidify your understanding of fundamental concepts and prepare you to grasp more advanced topics in the AWS Redshift course.
Browse courses on
Cloud Operations
Show steps
Show steps
Show steps
- Re-read the course overview
- Review introductory materials from previous courses or online resources
Review RDBMS fundamentals
Show steps
Reviewing the fundamentals of RDBMS will help you better understand the concepts and principles of AWS Redshift.
Browse courses on
RDBMS
Show steps
Show steps
Show steps
- Read through online documentation and tutorials on RDBMS concepts
- Complete online quizzes and practice exercises on RDBMS
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice querying Redshift
Show steps
Regularly practicing querying Redshift will help you become more proficient in using the tool and understanding its capabilities.
Show steps
Show steps
Show steps
- Set up a Redshift cluster and practice writing queries
- Participate in online challenges and competitions that involve querying Redshift
Follow tutorials on advanced Redshift features
Show steps
Following tutorials on advanced Redshift features will help you explore the full potential of the tool and learn how to use it effectively for complex data warehousing tasks.
Show steps
Show steps
Show steps
- Search for and identify tutorials on advanced Redshift features such as materialized views, columnar compression, and partitioning
- Follow the tutorials step-by-step and practice implementing the techniques
Create a blog post or article on a Redshift-related topic
Show steps
Creating a blog post or article on a Redshift-related topic will help you solidify your understanding of the concepts and share your knowledge with others.
Show steps
Show steps
Show steps
- Choose a specific Redshift-related topic that you are interested in and have a good understanding of
- Research the topic thoroughly and gather relevant information
- Write a well-structured and informative blog post or article
- Publish your blog post or article on a relevant platform
Build a data warehouse using Redshift
Show steps
Building a data warehouse using Redshift will give you hands-on experience in designing, implementing, and managing a real-world data warehouse solution.
Show steps
Show steps
Show steps
- Define the requirements and scope of your data warehouse
- Design the data warehouse schema and architecture
- Implement the data warehouse using Redshift
- Load data into the data warehouse
- Query and analyze the data in your data warehouse
Mentor other students who are learning Redshift
Show steps
Mentoring other students who are learning Redshift will help you deepen your understanding of the concepts, reinforce your knowledge, and develop your communication and teaching skills.
Show steps
Show steps
Show steps
- Join a community or forum where students can ask questions about Redshift
- Offer your help to students who are struggling with Redshift concepts
- Provide guidance and support to students as they work on Redshift-related projects
Participate in data warehousing competitions
Show steps
Participating in data warehousing competitions will challenge you to apply your skills in a competitive environment and demonstrate your proficiency in Redshift and data warehousing concepts.
Show steps
Show steps
Show steps
- Identify data warehousing competitions that are relevant to your skills and interests
- Register for the competition and form a team or participate individually
- Work on the competition project and develop a data warehousing solution using Redshift
- Submit your solution and compete against other teams
Career center
Learners who complete Amazon Redshift: Best Practices will develop knowledge and skills
that may be useful to these careers:
Database Developer
Database Developer
Database Developers design and develop databases such as Redshift. This course will teach you the basics of designing, deploying, and maintaining Redshift. You will also learn best practices for querying and operating Redshift. This course is a valuable resource for those looking to become a Database Developer or advance their career in database development.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines and infrastructure. This course will teach you how to design, deploy, and maintain Redshift clusters. You will also learn how to prepare and migrate data to Redshift, and how to manage and optimize Redshift clusters. This course is a valuable resource for those looking to become a Data Engineer or advance their career in data management.
Data Warehouse Manager
Data Warehouse Manager
Data Warehouse Managers are responsible for managing and maintaining data warehouses. This course will teach you the basics of designing, deploying, and maintaining Redshift. You will also learn best practices for querying and operating Redshift. This course is a valuable resource for those looking to become a Data Warehouse Manager or advance their career in data management.
Data Architect
Data Architect
Data Architects are responsible for designing and managing data systems, including data warehouses. This course will help you understand the components and architecture of Redshift, as well as best practices for designing and deploying Redshift solutions. You will also learn how to prepare and migrate data to Redshift, and how to manage and optimize Redshift clusters. This course is a valuable resource for those looking to become a Data Architect or advance their career in data management.
Data Scientist
Data Scientist
Data Scientists use data to build models and make predictions. This often involves querying and operating data warehouses such as Redshift. This course will give you the skills to do this effectively. You will learn best practices for querying Redshift, and discover how to manage, optimize, secure, and monitor Redshift. This course provides a comprehensive overview of Redshift, making it a great choice for those looking to advance their career as a Data Scientist.
Data Analyst
Data Analyst
Data Analysts work with data to identify trends and make predictions. This often involves querying and operating data warehouses such as Redshift. This course will give you the skills to do this effectively. You will learn best practices for querying Redshift, and discover how to manage, optimize, secure, and monitor Redshift. This course provides a comprehensive overview of Redshift, making it a great choice for those looking to advance their career as a Data Analyst.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. This often involves querying and operating data warehouses such as Redshift. This course will give you the skills to do this effectively. You will learn best practices for querying Redshift, and discover how to manage, optimize, secure, and monitor Redshift. This course provides a comprehensive overview of Redshift, making it a great choice for those looking to advance their career as a Business Intelligence Analyst.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. This course will teach you the basics of deploying and maintaining Redshift on AWS. You will also learn how to manage and optimize Redshift clusters. This course is a valuable resource for those looking to become a Cloud Architect or advance their career in cloud computing.
Systems Administrator
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems, including databases such as Redshift. This course will teach you the basics of deploying and maintaining Redshift. You will also learn how to manage and optimize Redshift clusters. This course is a valuable resource for those looking to become a Systems Administrator or advance their career in systems administration.
Data Integration Architect
Data Integration Architect
Data Integration Architects design and implement data integration solutions. This course will teach you the basics of preparing and migrating data to Redshift. You will also learn how to manage and optimize Redshift clusters. This course is a valuable resource for those looking to become a Data Integration Architect or advance their career in data management.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting data and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course will teach you how to secure and monitor Redshift. You will learn best practices for securing Redshift clusters, and discover how to monitor Redshift for security threats.
Database Administrator
Database Administrator
Database Administrators help build and administer databases such as Amazon Redshift. For those aspiring to become a Database Administrator, this course teaches the basics of designing, deploying, and maintaining Redshift. Crucially, this course will teach on the best practices of Redshift, and how to secure and monitor it. This will give you a strong foundation on which to build a successful career as a Database Administrator, making you an asset to any company's data management team.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who are working on data-intensive applications. You will learn the basics of designing, deploying, and maintaining Redshift, and discover best practices for querying and operating Redshift. This course can help you build a foundation in data warehousing, which can be valuable for Software Engineers working on data-intensive applications.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. This course may be useful for DevOps Engineers who are working on data-intensive applications. You will learn the basics of designing, deploying, and maintaining Redshift, and discover best practices for querying and operating Redshift. This course can help you build a foundation in data warehousing, which can be valuable for DevOps Engineers working on data-intensive applications.
Big Data Engineer
Big Data Engineer
Big Data Engineers design and develop big data solutions. This course may be useful for Big Data Engineers who are working on data-intensive applications. You will learn the basics of designing, deploying, and maintaining Redshift, and discover best practices for querying and operating Redshift. This course can help you build a foundation in data warehousing, which can be valuable for Big Data Engineers working on data-intensive applications.
For more career information including salaries, visit:
OpenCourser.com/course/0tl2b7/amazon
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
Amazon Redshift: Best Practices.
Save
Provides a comprehensive overview of data warehousing with big data. It covers the challenges and opportunities of working with big data, as well as the tools and techniques for building and managing big data warehouses.
Provides a comprehensive overview of big data analytics. It covers the challenges and opportunities of working with big data, as well as the tools and techniques for analyzing big data.
Save
Provides a comprehensive overview of data warehousing in the cloud, using AWS and Azure. It covers a wide range of topics, including data modeling, query optimization, and performance tuning. It would be a useful reference for students who want to learn more about data warehousing in the cloud.
Provides a comprehensive overview of data warehousing concepts and technologies, and would be a useful reference for students who want to learn more about the fundamentals of data warehousing.
Provides a foundation in data warehousing concepts and techniques. It covers the basics of data modeling, data integration, and data analysis.
Provides a comprehensive overview of data science for business. It covers the basics of data science, as well as the challenges and opportunities of using data science to solve business problems.
Provides a comprehensive guide to data warehousing design and implementation. It covers the full lifecycle of a data warehouse project, from planning to deployment.
Save
Provides a comprehensive overview of data governance. It covers the challenges and opportunities of data governance, as well as the tools and techniques for building and managing data governance programs.
Provides a comprehensive guide to troubleshooting Amazon Redshift clusters. It covers a wide range of topics, including performance issues, data corruption, and security breaches.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0tl2b7/amazon
Share
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Time
189 hours
Level
Advanced
Via
Pluralsight
Instructor
Anthony Sequeira
Language
English
Good to know
Emphasizes performance, operational soundness, high availability, security, and cost-effectiveness, which aligns with industry best practices for data warehouse solutions
Instructors, Anthony Sequeira, specialize in AWS Redshift, indicating credibility and expertise in the course subject matter
Covers fundamental concepts and advanced practices for AWS Redshift, providing a comprehensive learning experience
Designed for AWS Solutions Architects and SysOps administrators, targeting professionals with relevant experience and knowledge in RDBMS systems
Provides practical skills in designing, deploying, and maintaining AWS Redshift solutions, enhancing job readiness and professional development
May require familiarity with basic data warehouse concepts and SQL as prerequisites
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