The Netflix Tech Blog: RAD - Outlier Detection on Big Data:
Outlier detection can be a pain point for all data driven companies, especially as data volumes grow. At Netflix we have multiple datasets growing by 10B+ record/day and so there’s a need for automated anomaly detection tools ensuring data quality and identifying suspicious anomalies. Today we are open-sourcing our outlier detection function, called Robust Anomaly Detection (RAD)...
This blog relates to experiences in the Systems Capacity and Availability areas, focusing on statistical filtering and pattern recognition and BI analysis and reporting techniques (SPC, APC, MASF, 6-SIGMA, SEDS/SETDS and other)
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Monday, March 9, 2015
The Netflix Tech Blog: RAD - Outlier Detection on Big Data

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