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Experiences with approximating inquiries in Microsoft’s manufacturing big-data groups

Mittwoch, Oktober 9th, 2019

Experiences with approximating inquiries in Microsoft’s manufacturing big-data groups

Arandom stroll through Computer Science research, by Adrian Colyer

Experiences with approximating questions in Microsoft’s manufacturing big-data clusters Kandula et al., VLDB’19 I’ve been excited in regards to the prospect of approximate question processing in analytic clusters for many right time, and also this paper defines its usage at scale in manufacturing. Microsoft’s data that are big have actually 10s of thousands of devices, and so are utilized by large number of … Continue reading Experiences with approximating questions in Microsoft’s manufacturing big-data groups

DDSketch: an easy and fully-mergeable sketch that is quantile relative-error guarantees

DDSketch: an easy and fully-mergeable quantile sketch with relative-error guarantees Masson et al., VLDB’19 Datadog handles a huge amount of metrics – some clients have actually endpoints producing over 10M points per second! For reaction times (latencies) reporting an easy metric such as for example ‘average’ is close to worthless. alternatively you want to understand what’s happening at various … Continue reading DDSketch: a quick and fully-mergeable quantile design with relative-error guarantees

SLOG: serializable, low-latency, geo-replicated transactions

IPA: invariant-preserving applications for weakly constant replicated databases

IPA: invariant-preserving applications for weakly consistent replicated databases Balegas et al., VLDB’19 IPA for designers, delighted times! past we week looked over automating checks for invariant confluence, and extending the pair of cases where custom writings coupon we could show that an item is indeed invariant confluent. I’m perhaps not likely to re-cover that back ground in this write-up, so … read on IPA: invariant-preserving applications for weakly consistent replicated databases

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