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Amazon Redshift

Best Practices

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.

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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.

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What's inside

Syllabus

Course Overview
Designing and Deploying AWS Redshift
Preparing and Migrating Data to AWS Redshift
Managing and Optimizing AWS Redshift
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Securing AWS Redshift
Monitoring and Auditing AWS Redshift
Troubleshooting AWS Redshift

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

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Activities

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Career center

Learners who complete Amazon Redshift: Best Practices will develop knowledge and skills that may be useful to these careers:
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.

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.
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.
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.
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.

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