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  • Book Overview & Buying DynamoDB Applied Design Patterns
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DynamoDB Applied Design Patterns

DynamoDB Applied Design Patterns

By : Uchit Hamendra Vyas
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DynamoDB Applied Design Patterns

DynamoDB Applied Design Patterns

3 (2)
By: Uchit Hamendra Vyas

Overview of this book

If you are an intermediate to advanced DynamoDB developer looking to learn the best practices associated with efficient data modeling, this book is for you.
Table of Contents (12 chapters)
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11
Index

DynamoDB versus S3

DynamoDB and S3 (short for Simple Storage Service) are both storage/database services provided by Amazon to be exposed to the NoSQL database. S3 is used for wide data storage as it has capacity to store data up to a 5 TB maximum item size, where as DynamoDB has capacity to store data up to 64 KB, but both have no limit on attributes for a particular item. S3 creates a bucket that stores data. Buckets are the essential containers in Amazon S3 for data storage. S3 is for large data storage, which we are rarely going to use. For example, data stored for analysis purposes or data stored for the backup and restore procedure. It has a slower response time. DynamoDB is used for high performance. In DynamoDB, we need a key-value data store that can handle thousands of read/write operations per second.

DynamoDB is a flexible NoSQL database that we use to store small features, metadata, and index information—in short, data that is more dynamic. In DynamoDB, data retrieval...

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