Amazon DynamoDB: NoSQL Database Applications
Learn to build scalable apps using Amazon DynamoDB, a NoSQL database service, in this 4-week course covering core concepts and best practices.
Learn to build scalable apps using Amazon DynamoDB, a NoSQL database service, in this 4-week course covering core concepts and best practices.
Master Amazon DynamoDB and NoSQL databases in this comprehensive course. Explore the differences between relational and NoSQL databases, and learn how to build scalable applications using DynamoDB. Topics include table provisioning, security measures, performance optimization, and best practices. Through hands-on labs and expert-led lectures, you'll gain practical experience in managing DynamoDB tables, implementing security protocols, and leveraging advanced features like global tables and streams. Ideal for developers seeking to enhance their skills in building high-performance, cloud-native applications.
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What you'll learn
Understand the differences between NoSQL and relational databases
Learn to provision, manage, and interact with DynamoDB tables
Implement security measures for DynamoDB databases
Optimize performance using partition keys and scaling options
Explore advanced features like global tables and streams
Develop skills in query optimization and schema design
Skills you'll gain
This course includes:
Live video
Quizzes, Final assessment
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course provides a comprehensive introduction to NoSQL databases, focusing on Amazon DynamoDB. It covers the fundamental differences between relational and NoSQL databases, and explores how DynamoDB solves specific challenges in modern application development. The curriculum is structured to provide both theoretical knowledge and practical skills. Key topics include provisioning and managing DynamoDB tables, implementing security measures, optimizing performance through effective use of partition keys, and leveraging advanced features like global tables and streams. The course also delves into best practices for schema design, query optimization, and integrating DynamoDB with other AWS services. Through a combination of video lectures, demonstrations, and hands-on lab exercises, learners gain practical experience in building and managing scalable, high-performance database-driven applications using DynamoDB.
SQL, NoSQL and DynamoDB
Module 1
Recovery, SDKs, Monitoring and Partitioning
Module 2
Security and State Management
Module 3
Query Optimization and Schema Design
Module 4
Fee Structure
Instructors
Senior Cloud Technologist at Amazon Web Services
Morgan Willis is a Senior Cloud Technologist at Amazon Web Services with a strong background in software development and technical training. She holds six AWS certifications and a degree in computer science, reflecting her deep commitment to the tech field. Morgan brings a wealth of experience from various IT roles and combines her professional expertise with a passion for teaching. Outside of work, she enjoys running, hiking, and skiing, always seeking time outdoors.
Cloud Technologist at Amazon Web Services
Seph R is a seasoned Cloud Technologist and Technical Trainer at Amazon Web Services, based in Seattle, WA. With over 7 years at AWS, Seph began his journey in the Premium Support division and has consistently focused on training and empowering others. His passion lies in creative problem solving and exploring the evolving AWS landscape. Seph’s approachable nature and broad interests make him an engaging instructor who enjoys deep conversations on a wide range of topics. When not teaching, he plays Ultimate at global tournaments or travels for leisure.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.