Summary
In this chapter, we explored read consistency in DynamoDB, covering the various read operations and best practices associated with each. We started by examining the different consistency models offered by DynamoDB: eventually consistent reads and strongly consistent reads. Eventually consistent reads provide a cost-effective option with the trade-off of potential staleness, while strongly consistent reads ensure the most up-to-date data at a relatively higher cost.
The chapter then dove into specific read operations available in DynamoDB, such as BatchGetItem, GetItem, and Query, each serving distinct use cases. We covered the importance of specifying the right consistency model for your read operations, as well as balancing performance needs and data accuracy.
Next, we shifted our focus to transactions and atomicity within DynamoDB. Despite DynamoDB being a NoSQL database, it offers ACID-compliant multi-item transactions through dedicated APIs. We outlined the key differences...
