MacroBase: Prioritizing Attention in Fast Data

As data volumes continue to rise, manual inspection is becoming increasingly untenable. In response, we present MacroBase, a data analytics engine that prioritizes end-user attention in high-volume fast data streams. MacroBase enables efficient, accurate, and modular analyses that highlight and aggr...

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Veröffentlicht in:ACM transactions on database systems 2018-12, Vol.43 (4), p.1-45
Hauptverfasser: Abuzaid, Firas, Bailis, Peter, Ding, Jialin, Gan, Edward, Madden, Samuel, Narayanan, Deepak, Rong, Kexin, Suri, Sahaana
Format: Artikel
Sprache:eng
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Zusammenfassung:As data volumes continue to rise, manual inspection is becoming increasingly untenable. In response, we present MacroBase, a data analytics engine that prioritizes end-user attention in high-volume fast data streams. MacroBase enables efficient, accurate, and modular analyses that highlight and aggregate important and unusual behavior, acting as a search engine for fast data. MacroBase is able to deliver order-of-magnitude speedups over alternatives by optimizing the combination of explanation (i.e., feature selection) and classification tasks and by leveraging a new reservoir sampler and heavy-hitters sketch specialized for fast data streams. As a result, MacroBase delivers accurate results at speeds of up to 2M events per second per query on a single core. The system has delivered meaningful results in production, including at a telematics company monitoring hundreds of thousands of vehicles.
ISSN:0362-5915
1557-4644
DOI:10.1145/3276463