DATA STREAM QUALITY MANAGEMENT FOR ANALYTIC ENVIRONMENTS
First Claim
1. A method, comprising:
- deploying, into a runtime environment with a data stream analytic module, an ingress quality specification (IQS) module associated with the analytic module;
receiving, by the IQS module, the data stream;
analyzing, by the IQS module, a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module;
annotating the subset of data to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module; and
outputting the data stream to the analytic module.
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Accused Products
Abstract
According to one aspect of the present disclosure, a method and technique for data quality management is disclosed. The method includes: deploying, into a runtime environment with a data stream analytic module, an ingress quality specification (IQS) module associated with the analytic module; receiving, by the IQS module, the data stream; analyzing, by the IQS module, a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module; annotating the subset of data to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module; and outputting the data stream to the analytic module.
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Citations
6 Claims
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1. A method, comprising:
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deploying, into a runtime environment with a data stream analytic module, an ingress quality specification (IQS) module associated with the analytic module; receiving, by the IQS module, the data stream; analyzing, by the IQS module, a subset of data of the data stream to determine if the subset of data meets a quality expectation of the analytic module; annotating the subset of data to indicate a quality status based on whether the subset of data meets the quality expectation of the analytic module; and outputting the data stream to the analytic module. - View Dependent Claims (2, 3, 4, 5, 6)
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Specification