It's similar to other NoSQL solutions, such as MongoDB. DynamoDB is a NoSQL data storage service, which means it does not operate on a relational model, and therefore cannot be queried using ANSI standard SQL. Amazon DynamoDB is primarily designed to store data, and service access to this data, to an application or a downstream analytical process. Amazon DynamoDB, and discuss how it works, and how you can use it in a Big Data scenario. So let's have a look at the first of the Amazon storage services we will cover. At the end of this module, you will be able to describe in detail how Amazon DynamoDB can be used to store data within a Big Data solution. UpdatesĪmazon Aurora is now MySQL and PostgreSQL-compatible. While there are no formal prerequisites for this course, students will benefit from having a basic understanding of cloud storage solutions. Our courses on AWS storage fundamentals and AWS Database Fundamentals will give you a solid foundation for taking this present course. This course is intended for students looking to increase their knowledge of the AWS storage options available for Big Data solutions. Recognize and explain the operational characteristics of a Big Data storage solution.
Recognize and explain big data access and retrieval patterns.
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We learn how to determine appropriate data structure and storage formats, and how to determine and optimize the operational characteristics of a Big Data storage solution. We determine data access and retrieval patterns, and some of the use cases that suit particular data patterns such as evaluating mechanisms for capture, update, and retrieval of catalog entries. In this course, we outline the key storage options for big data solutions.
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