Bringing Time Series for Spark into Cloudera Labs is a reflection of its potentially future usefulness in more use cases. Time is more important than ever to data. We're not merely interested in how things are, but how they change, where tendencies lead, and where trends are heading into unusual territory. Many classic machine-learning techniques do nothing in particular with time, and so assume the past and future are all similar. We know that's increasingly inaccurate. Read more The post Time Series for Spark Joins Cloudera Labs appeared first on Cloudera Engineering Blog.


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This article is related to

Cloudera Labs,Spark