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Streaming in NoSQL

Authors: Chia-Ping Tsai; Hung-Chang Hsiao;

Streaming in NoSQL

Abstract

Present NoSQL databases are passive entities, where users proactively access the databases. While NoSQL databases are scalable due to their horizontal scale-out designs, data items stored in potentially very large databases are difficult to retrieve in terms of access delay, programmability and usability. In this paper, we advocate supporting events in NoSQL. By introducing publishers and subscribers to NoSQL, our proposed NoSQL data store is capable of delivering data items that users are interested in. Additionally, our NoSQL database decouples publishers and subscribers such that application developers can emphasize on data manipulation without paying attention to communications for delivering data. We formally discuss the design requirements for streaming in NoSQL, and present a prototype implementation that addresses the design issues. We also outline our ongoing works in this paper.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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