DYNAMICALLY PROCESSING AN EVENT USING AN EXTENSIBLE DATA MODEL
First Claim
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1. A method for dynamically processing an event including a dataset that is streamed from a source to a sink via nodes, the method, comprising:
- specifying attributes of the event in a data model;
the data model being extensible to add properties to the event as the dataset is streamed from the source to the sink.
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Abstract
Systems and methods of dynamically processing an event using an extensible data model are disclosed. One embodiment includes, specifying attributes of the event in a data model; the data model being extensible to add properties to the event as the dataset is streamed from the source to the sink.
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Citations
19 Claims
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1. A method for dynamically processing an event including a dataset that is streamed from a source to a sink via nodes, the method, comprising:
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specifying attributes of the event in a data model; the data model being extensible to add properties to the event as the dataset is streamed from the source to the sink. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for dynamically processing an event including a dataset that is streamed from a source to a sink via nodes, the method, comprising:
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specifying attributes of the event in a data model; annotating the event described by the data model with key-value attribute pairs in a metadata table to enable analytic features to be performed on the dataset. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A system for dynamically processing an event including a dataset that is streamed from a source to a sink via nodes, the method, comprising:
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means for, specifying attributes of the event in a data model; the data model being extensible to add properties to the event as the dataset is streamed from the source to the sink; means for, annotating the event described by the data model with key-value attribute pairs in a metadata table to enable analytic features to be performed on the dataset. - View Dependent Claims (18, 19)
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Specification