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stackoverflow.com/questions/3766845Private View Coarse-grained: A few ojects hold a lot of related data that's why services have broader scope in functionality. Example: A single "Account" object holds the customer name, address, account balance, opening date, last change date, etc. Thus: Increased design complexity, smaller number of cells to various operations Fine-grained: More objects each holding less data that's why services have more ...
Granularity - Wikipedia en.wikipedia.org/wiki/GranularityPrivate View Precision and ambiguity. Coarse-grained materials or systems have fewer, larger discrete components than fine-grained materials or systems.. A coarse-grained description of a system regards large subcomponents.; A fine-grained description regards smaller components of which the larger ones are composed.; The concepts granularity, coarseness, and fineness are relative; and are used when ...
Fine grained vs coarse grained REST API - Stack Overflow stackoverflow.com/questions/35365372Private View 3. This decision comes down to how your API will be consumed. If a primary functionality of this API is to track user's contacts, then I think it makes sense to go with the finegrained approach. As a consumer of the API, the finegrained approach has the same functionality as the coarsegrained approach, but also adds more specific endpoints.
Fine grained transformation vs coarse grained transformations stackoverflow.com/questions/26195512Private View 20. A finegrained update would be an update to one record in a database whereas coarsegrained is generally functional operators (like used in spark) for example map, reduce, flatMap, join. Spark's model takes advantage of this because once it saves your small DAG of operations (small compared to the data you are processing) it can use that to ...
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