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With Amazon Keyspaces (for Apache Cassandra), you can run Cassandra workloads on Amazon Web Services (AWS) using the same application code and developer tools that you use today.

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With Amazon Keyspaces (for Apache Cassandra), you can run Cassandra workloads on Amazon Web Services (AWS) using the same application code and developer tools that you use today.

In this course, you will learn the benefits and technical concepts of Amazon Keyspaces. If you are new to the service, you will learn how to start with Amazon Keyspaces through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can give you the performance, elasticity, and enterprise features you need to operate business-critical Cassandra workloads at scale.

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What's inside

Syllabus

Getting Started with Amazon Keyspaces

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops professional skills in Cassandra workloads and enterprise architecture at scale for business-critical workloads
Taught by AWS Instructors, who are recognized for their work in cloud-native services
Examines deployment of Cassandra workloads on AWS using the same application code and developer tools traditionally used on-premise
Shares how built-in features of the service offer performance, elasticity, and enterprise features at scale
Provides a demonstration for getting started with Amazon Keyspaces using the AWS Management Console

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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 Getting Started with Amazon Keyspaces with these activities:
Read 'Cassandra: The Definitive Guide'
Gain a comprehensive understanding of Cassandra architecture, data model, and query language.
Show steps
  • Read selected chapters on Cassandra basics, data modeling, and query optimization.
Review SQL Concepts
Refresh your knowledge of SQL to enhance your understanding of Cassandra's data querying capabilities.
Browse courses on SQL
Show steps
  • Review basic SQL commands for data retrieval, manipulation, and data definition.
Organize and Review Course Materials
Enhance your learning by organizing and reviewing course materials to improve comprehension and knowledge retention.
Show steps
  • Organize notes, slides, and assignments into a structured format.
  • Review and summarize key concepts and takeaways.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Database Modeling and Design
Build a strong foundation in data modeling to create efficient and scalable Cassandra databases.
Browse courses on Database Modeling
Show steps
  • Review the basics of data modeling and normalization techniques.
  • Create ER diagrams for sample scenarios.
  • Practice implementing data models using the AWS Schema Designer.
Follow Best Practices for Cassandra Performance
Learn techniques to optimize query performance, manage data effectively, and maintain high availability and durability.
Browse courses on Performance Optimization
Show steps
  • Explore AWS documentation on Cassandra performance tuning.
  • Follow tutorials on optimizing query execution plans and data distribution strategies.
  • Implement best practices and monitor performance using AWS CloudWatch metrics.
Attend a Cassandra User Group Meeting
Connect with Cassandra experts and practitioners to share knowledge and best practices.
Show steps
  • Find a local Cassandra User Group and attend a meeting.
Build a Cassandra Application with Serverless Functions
Gain practical experience by creating and deploying a real-world application that leverages Cassandra's capabilities.
Show steps
  • Design and model your application's data structure.
  • Create Lambda functions to handle specific operations.
  • Configure and deploy your application using AWS Serverless Application Model (SAM).
  • Test and evaluate the performance of your application.
Contribute to the Apache Cassandra Project
Gain hands-on experience and make a meaningful contribution to the Cassandra community.
Browse courses on Apache Cassandra
Show steps
  • Identify an area where you can contribute to the project.
  • Familiarize yourself with the codebase and contribution guidelines.
  • Create or update code, documentation, or tests.
  • Submit a pull request and engage with other contributors.

Career center

Learners who complete Getting Started with Amazon Keyspaces will develop knowledge and skills that may be useful to these careers:
Database Engineer
Database Engineers design, implement, and manage databases to meet organizational data storage and retrieval requirements. They are responsible for ensuring that databases are reliable, scalable, and secure. This course may be useful for Database Engineers who are looking to use Amazon Keyspaces to improve the performance and scalability of their Cassandra workloads. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Data Analyst
Data Analysts collect, analyze, and interpret data to help organizations make informed decisions. They use a variety of statistical and data mining techniques to identify trends and patterns in data. This course may be useful for Data Analysts who are looking to use Amazon Keyspaces to store and analyze large datasets. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Data Scientist
Data Scientists use their knowledge of statistics, mathematics, and computer science to solve business problems. They use a variety of techniques, including machine learning and data mining, to build predictive models and identify patterns in data. This course may be useful for Data Scientists who are looking to use Amazon Keyspaces to store and analyze large datasets. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be useful for Cloud Architects who are looking to use Amazon Keyspaces to build scalable and reliable cloud applications. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and development tools to create software that meets the needs of users. This course may be useful for Software Engineers who are looking to use Amazon Keyspaces to build scalable and reliable applications. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Data Integration Engineer
Data Integration Engineers design and implement data integration solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be useful for Data Integration Engineers who are looking to use Amazon Keyspaces to integrate data from multiple sources. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Database Administrator
Database Administrators manage and maintain databases. They are responsible for ensuring that databases are available, reliable, and secure. This course may be useful for Database Administrators who are looking to use Amazon Keyspaces to improve the performance and scalability of their Cassandra workloads. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be useful for Data Warehouse Architects who are looking to use Amazon Keyspaces to build scalable and reliable data warehouses. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Big Data Engineer
Big Data Engineers design and implement big data solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be useful for Big Data Engineers who are looking to use Amazon Keyspaces to store and analyze large datasets. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Cloud Security Engineer
Cloud Security Engineers design and implement cloud security solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be useful for Cloud Security Engineers who are looking to use Amazon Keyspaces to improve the security of their Cassandra workloads. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
DevOps Engineer
DevOps Engineers design and implement DevOps solutions. They work with teams to automate the software development and deployment process. This course may be useful for DevOps Engineers who are looking to use Amazon Keyspaces to improve the performance and scalability of their applications. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Network Administrator
Network Administrators manage and maintain computer networks. They are responsible for ensuring that networks are available, reliable, and secure. This course may be useful for Network Administrators who are looking to use Amazon Keyspaces to improve the performance and scalability of their Cassandra workloads. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Data Security Analyst
Data Security Analysts design and implement data security solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be useful for Data Security Analysts who are looking to use Amazon Keyspaces to improve the security of their Cassandra workloads. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Systems Administrator
Systems Administrators manage and maintain computer systems. They are responsible for ensuring that systems are available, reliable, and secure. This course may be useful for Systems Administrators who are looking to use Amazon Keyspaces to improve the performance and scalability of their Cassandra workloads. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.
Security Analyst
Security Analysts design and implement security solutions. They work with customers to understand their business needs and develop solutions that meet those needs. This course may be useful for Security Analysts who are looking to use Amazon Keyspaces to improve the security of their Cassandra workloads. The course covers the basics of Amazon Keyspaces, including how to create and manage keyspaces, tables, and indexes. It also covers how to use Amazon Keyspaces features such as automatic scaling, replication, and backup and recovery.

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 Getting Started with Amazon Keyspaces.
Comprehensive overview of Apache Cassandra, including its architecture, features, and best practices. It valuable resource for anyone who is working with Cassandra or who is looking for a deeper understanding of its internals.
Provides a comprehensive overview of Apache Cassandra. It good reference for anyone who is working with Cassandra or who is looking for a deeper understanding of its internals.
Provides a comprehensive overview of data-intensive applications. It good reference for anyone who is working with large amounts of data.
Provides practical advice on how to design data-intensive applications. It good reference for anyone who is working with large amounts of data.
Provides a gentle introduction to NoSQL databases, including Cassandra. It good starting point for anyone who is new to NoSQL or Cassandra. <strong>Fit score:</strong> 70
Provides a performance guide to Apache Cassandra. It covers topics such as Cassandra's architecture, data model, and query language. It valuable resource for anyone who wants to learn more about Cassandra or use it in their own projects.

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