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This course introduces you to Amazon Redshift, the AWS service that provides cloud-native data warehousing.

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This course introduces you to Amazon Redshift, the AWS service that provides cloud-native data warehousing.

This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of Amazon Redshift and provides an assessment to help you gauge how well you understood the concepts covered.

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What's inside

Syllabus

Amazon Redshift Service Primer

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Course closely resembles that of an accredited institute, bootcamp, or training program
Introduces a cloud-native data warehousing service, making the course highly relevant to industry
Teaches core features and capabilities of the cloud-native data warehousing service

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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 Service Primer with these activities:
Follow Amazon Redshift tutorials
Build hands-on experience with Amazon Redshift by following guided tutorials.
Show steps
  • Go to the Amazon Redshift tutorials page.
  • Choose a tutorial that aligns with your learning goals.
Take Amazon Redshift practice tests
Test your understanding of Amazon Redshift concepts through practice tests.
Show steps
  • Go to the Amazon Redshift practice tests page.
  • Take a practice test to assess your knowledge.
  • Review your results and identify areas where you need improvement.
Volunteer in AWS community forums
Engage with the AWS community by volunteering your time in forums to help others learn about Amazon Redshift.
Show steps
  • Join the AWS Forums.
  • Choose a specific forum related to Amazon Redshift.
  • Participate in the forum by answering questions and providing helpful insights.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a knowledge base of resources related to Amazon Redshift
Organize your learning materials and create a central repository of resources for future reference.
Show steps
  • Gather materials from the course, online tutorials, books, and other sources.
  • Create a document, spreadsheet, or other digital resource to store the materials.
  • Categorize and organize the materials for easy access.
Study Amazon Redshift documentation
Familiarize yourself with Amazon Redshift's core features and capabilities.
Browse courses on Amazon Redshift
Show steps
  • Go to the Amazon Redshift documentation.
  • Read through the sections on Redshift's architecture, features, and capabilities.
Contribute to open source projects related to Amazon Redshift
Gain hands-on experience and contribute to the Amazon Redshift community by working on open source projects.
Show steps
  • Identify a suitable open source project related to Amazon Redshift.
  • Review the project's documentation and contribution guidelines.
  • Contribute to the project by reporting bugs, fixing issues, or adding new features.

Career center

Learners who complete Amazon Redshift Service Primer will develop knowledge and skills that may be useful to these careers:
Big Data Architect
Big Data Architects design, build, and maintain the architecture of big data systems, ensuring that they meet the needs of the organization. Understanding the principles of cloud-native data warehousing is a highly desirable skill for this role, as this type of warehousing is becoming more and more common, particularly in the field of big data. This course introduces the core features and capabilities of Amazon Redshift, the AWS service that provides cloud-native data warehousing. Taking this course may help one to gain familiarity with Amazon Redshift and demonstrate a commitment to staying up-to-date with the latest technologies in data warehousing.
Cloud Architect
Cloud Architects design, build, and maintain cloud computing systems, ensuring that they meet the needs of the organization. Understanding the principles of cloud-native data warehousing is a highly desirable skill for this role, as this type of warehousing is becoming more and more common. This course introduces the core features and capabilities of Amazon Redshift, the AWS service that provides cloud-native data warehousing. Taking this course may help one to gain familiarity with Amazon Redshift and demonstrate a commitment to staying up-to-date with the latest technologies in data warehousing.
Database Architect
Database Architects design, develop, and maintain the architecture of databases, ensuring that they meet the needs of the organization. Understanding the principles of cloud-native data warehousing is a highly desirable skill for this role, as this type of warehousing is becoming more and more common. This course introduces the core features and capabilities of Amazon Redshift, the AWS service that provides cloud-native data warehousing. Taking this course may help one to gain familiarity with Amazon Redshift and demonstrate a commitment to staying up-to-date with the latest technologies in data warehousing.
Database Administrator
A Database Administrator is responsible for the maintenance and day-to-day administration of databases, acting as a liaison between database users and IT professionals. Understanding the principles of cloud-native data warehousing is a highly desirable skill for this role, as this type of warehousing is becoming more and more common. This course introduces the core features and capabilities of Amazon Redshift, the AWS service that provides cloud-native data warehousing. Taking this course may help one to gain familiarity with Amazon Redshift and demonstrate a commitment to staying up-to-date with the latest technologies in data warehousing.
Data Integration Architect
Data Integration Architects design, build, and maintain data integration systems, ensuring that data from different sources is integrated and accessible in a consistent and reliable manner. Understanding the principles of cloud-native data warehousing is a highly desirable skill for this role, as this type of warehousing is becoming more and more common. This course introduces the core features and capabilities of Amazon Redshift, the AWS service that provides cloud-native data warehousing. Taking this course may help one to gain familiarity with Amazon Redshift and demonstrate a commitment to staying up-to-date with the latest technologies in data warehousing.
Big Data Engineer
Big Data Engineers design, build, and maintain big data systems, working with both structured and unstructured data. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, is a useful skill for this role, as this type of data warehousing is becoming increasingly common, particularly in the field of big data. This course may help a Big Data Engineer to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.
Data Analyst
Data Analysts collect, analyze, interpret, and present data to help organizations make informed decisions. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, is an increasingly common and desirable skill for this role, as many organizations are migrating to this type of data warehousing. This course may help a Data Analyst to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.
Data Engineer
Data Engineers design, build, and maintain data pipelines and databases, working with both structured and unstructured data. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, is a useful skill for this role, as this type of data warehousing is becoming increasingly common. This course may help a Data Engineer to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.
Software Architect
Software Architects design, build, and maintain the architecture of software systems, ensuring that they meet the needs of the organization. Understanding the principles of cloud-native data warehousing is a highly desirable skill for this role, as this type of warehousing is becoming more and more common. This course introduces the core features and capabilities of Amazon Redshift, the AWS service that provides cloud-native data warehousing. Taking this course may help one to gain familiarity with Amazon Redshift and demonstrate a commitment to staying up-to-date with the latest technologies in data warehousing.
Database Developer
Database Developers design, build, and maintain databases, working with both structured and unstructured data. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, is a useful skill for this role, as this type of data warehousing is becoming increasingly common. This course may help a Database Developer to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.
Solutions Architect
Solutions Architects design, build, and maintain software solutions that meet the needs of the organization. Understanding the principles of cloud-native data warehousing is a highly desirable skill for this role, as this type of warehousing is becoming more and more common. This course introduces the core features and capabilities of Amazon Redshift, the AWS service that provides cloud-native data warehousing. Taking this course may help one to gain familiarity with Amazon Redshift and demonstrate a commitment to staying up-to-date with the latest technologies in data warehousing.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, may be a useful skill for this role, as this type of warehousing is becoming increasingly common, particularly in the field of big data. This course may help a Data Scientist to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.
Information Architect
Information Architects design, build, and maintain the structure and organization of information systems, ensuring that information is accessible and usable. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, may be a useful skill for this role, as this type of warehousing is becoming increasingly common, particularly in the field of big data. This course may help an Information Architect to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.
Data Governance Specialist
Data Governance Specialists develop and implement data governance policies and procedures, ensuring that data is managed in a consistent and reliable manner. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, may be a useful skill for this role, as this type of warehousing is becoming increasingly common, particularly in the field of big data. This course may help a Data Governance Specialist to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.
Business Analyst
Business Analysts analyze business processes, identify problems, and develop solutions to improve efficiency and effectiveness. Familiarity with Amazon Redshift, the AWS service that provides cloud-native data warehousing, may be a useful skill for this role, as this type of warehousing is becoming increasingly common, particularly in the field of big data. This course may help a Business Analyst to gain experience and familiarity with Amazon Redshift, making them more competitive in the job market.

Reading list

We've selected ten 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 Service Primer.
Provides a foundation for understanding the principles and patterns of data-intensive application design. It covers topics such as data modeling, scalability, and distributed systems.
Provides a comprehensive overview of data management for analytics. It covers topics such as data quality, data governance, and data security.
Provides a comprehensive overview of Apache Hadoop, the open-source framework for distributed data processing. While not specific to Amazon Redshift, it provides a valuable foundation for understanding the underlying concepts and technologies.
Provides a practical introduction to data science and machine learning. It covers topics such as data analysis, model building, and data visualization.
Provides a practical introduction to machine learning using Python. It covers topics such as data preparation, model selection, and model evaluation.
Provides a practical introduction to deep learning using Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive overview of big data analytics. It covers topics such as data collection, data storage, data processing, and data visualization.
Provides a practical introduction to data visualization for business intelligence. It covers topics such as data visualization principles, chart types, and data visualization software.
Provides a comprehensive overview of SQL, the standard language for querying and manipulating data in relational databases. It covers topics such as data types, operators, and subqueries.
Provides a practical introduction to NoSQL databases, which are non-relational databases that offer scalability, flexibility, and high performance. While not specific to Amazon Redshift, it provides a valuable overview of the NoSQL landscape.

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