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

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

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 groups for a few right time, and also this paper defines its usage at scale in manufacturing. Microsoft’s big information groups have actually 10s of thousands of devices, and are also utilized by a large number of … Continue reading Experiences with approximating inquiries in Microsoft’s manufacturing big-data groups

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

DDSketch: a quick and fully-mergeable quantile sketch with relative-error guarantees Masson et al., VLDB’19 Datadog handles a lot of metrics – some customers have actually endpoints creating over 10M points per second! Continue reading “Experiences with approximating inquiries in Microsoft’s manufacturing big-data clusters”