September 2014
Intermediate to advanced
202 pages
4h 26m
English
Content preview from DynamoDB Applied Design PatternsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Time series tables
With DynamoDB, when you are creating a table you are going to specify the throughput. So from that DynamoDB will allocate resources to serve your requirements with low latency as best as it can. The core concept is that you should identify the core pattern of your tables that will be accessed via an application and based on that analysis you can restructure your application and tables.
Let's say, for example, you are designing a table to map the customers' search patterns on your application on the Web. So you can design your DynamoDB table with hash and range type primary keys with consumer ID as the hash attribute and date/time as the range attribute. So within this application your customer data will grow indefinitely with ...
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