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Partitioning Behavior of DynamoDB
This is the third part of a three-part series on working with DynamoDB. The previous article, Querying and Pagination With DynamoDB, focuses on different ways you can query in DynamoDB, when to choose which operation, the importance of choosing the right indexes for query flexibility, and the proper way to handle errors and pagination.
As discussed in the first article, Working With DynamoDB, the reason I chose to work with DynamoDB was primarily its ability to handle massive data with single-digit millisecond latency. Scaling, throughput, architecture, hardware provisioning is all handled by DynamoDB.
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