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minor fixes to paper

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fjy 2013-12-08 18:06:27 -08:00
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publications/whitepaper/druid.pdf
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publications/whitepaper/druid.tex
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@ -922,7 +922,7 @@ stores \cite{macnicol2004sybase}.
In this paper, we presented Druid, a distributed, column-oriented, real-time
analytical data store. Druid is designed to power high performance applications
and is optimized for low query latencies. Druid supports streaming data
ingestion and is fault-tolerant. We discussed how Druid performance was able to
ingestion and is fault-tolerant. We discussed how Druid was able to
scan 27 billion rows in a second. We summarized key architecture aspects such
as the storage format, query language, and general execution. In the future, we
plan to cover the different algorithms we’ve developed for Druid and how other