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公开(公告)号:US20170153914A1
公开(公告)日:2017-06-01
申请号:US15431573
申请日:2017-02-13
Applicant: SAS Institute Inc.
Inventor: Nancy Anne Rausch , Ronald Agresta , Roger Jay Barney , Willem Abraham Hazejager
CPC classification number: G06F9/4843 , G06F9/4806 , G06F9/4881 , G06F17/30424 , G06F17/30445
Abstract: An apparatus may include a processor and storage to store instructions that cause the processor to perform operations including: generate a current data set model descriptive of a characteristic of a current data set; compare the current data set model to at least one previously generated data set model descriptive of a characteristic of a previously analyzed data set; in response to detection of a match within a similarity threshold: retrieve an indication from a correlation database of an action previously performed on a previously analyzed data set; select a computer language based on node data descriptive of characteristics of a node device execution environment; generate node instructions in the selected computer language and based on the current data set model to cause the node device to perform the previously performed action on a portion of the current data set; and transmit the node instructions to the node device.
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公开(公告)号:US09753767B2
公开(公告)日:2017-09-05
申请号:US15431573
申请日:2017-02-13
Applicant: SAS Institute Inc.
Inventor: Nancy Anne Rausch , Ronald Agresta , Roger Jay Barney , Willem Abraham Hazejager
CPC classification number: G06F9/4843 , G06F9/4806 , G06F9/4881 , G06F17/30424 , G06F17/30445
Abstract: An apparatus may include a processor and storage to store instructions that cause the processor to perform operations including: generate a current data set model descriptive of a characteristic of a current data set; compare the current data set model to at least one previously generated data set model descriptive of a characteristic of a previously analyzed data set; in response to detection of a match within a similarity threshold: retrieve an indication from a correlation database of an action previously performed on a previously analyzed data set; select a computer language based on node data descriptive of characteristics of a node device execution environment; generate node instructions in the selected computer language and based on the current data set model to cause the node device to perform the previously performed action on a portion of the current data set; and transmit the node instructions to the node device.
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