Object modeling for exploring large data sets
First Claim
Patent Images
1. A computer-implemented method comprising:
- accessing, by a data analysis system computer under program control of a data exploring logic, an object model stored on one or more computer-readable storage media, the object model comprising;
a plurality of zero-order building block objects comprising a plurality of instruments corresponding to raw data that dynamically increases over time, wherein the zero-order building block objects are not decomposable into other objects;
a plurality of higher-order objects that are decomposable into two or more of the zero-order building block objects; and
a plurality of metrics that transform one or more input objects into an output object;
providing, to a user for execution on a client computing device, a data analysis application that includes an interface for dynamically creating a custom metric object;
receiving from the client computing device, by the data analysis system computer, user input comprising an expression that defines a new custom metric, the expression identifying a first metric configured to group two or more input objects, selected from the plurality of zero-order building block objects and the plurality of higher-order objects, into an output collection object;
adding, by the data analysis system computer, the new custom metric to the object model stored on the one or more computer-readable storage media;
dynamically loading the new custom metric into the data analysis system computer as a part of the data exploring logic;
after loading the new custom metric, dynamically providing access to the new custom metric in the application executing on the client computing device;
receiving from the client computing device, by the data analysis system computer, user input identifying the new custom metric and one or more input collection objects of the plurality of higher-order objects of the object model stored on the one or more computer-readable storage media;
decomposing, by the data analysis system computer, the one or more input collection objects into two or more child objects based on the object model;
applying, by the data analysis system computer, the new custom metric to the one or more input collection objects by generating an output object based on the raw data corresponding to the two or more child objects.
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Abstract
Techniques are described for facilitating performing computer-implemented financial analysis. A metric that transforms one or more time series into an output object is identified. The one or more time series are determined based on one or more input objects. The metric is applied using the one or more time series, thereby generating a particular value for the output object. One of the metric and the particular value for the output object is stored in a physical storage device.
274 Citations
27 Claims
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1. A computer-implemented method comprising:
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accessing, by a data analysis system computer under program control of a data exploring logic, an object model stored on one or more computer-readable storage media, the object model comprising; a plurality of zero-order building block objects comprising a plurality of instruments corresponding to raw data that dynamically increases over time, wherein the zero-order building block objects are not decomposable into other objects; a plurality of higher-order objects that are decomposable into two or more of the zero-order building block objects; and a plurality of metrics that transform one or more input objects into an output object; providing, to a user for execution on a client computing device, a data analysis application that includes an interface for dynamically creating a custom metric object; receiving from the client computing device, by the data analysis system computer, user input comprising an expression that defines a new custom metric, the expression identifying a first metric configured to group two or more input objects, selected from the plurality of zero-order building block objects and the plurality of higher-order objects, into an output collection object; adding, by the data analysis system computer, the new custom metric to the object model stored on the one or more computer-readable storage media; dynamically loading the new custom metric into the data analysis system computer as a part of the data exploring logic; after loading the new custom metric, dynamically providing access to the new custom metric in the application executing on the client computing device; receiving from the client computing device, by the data analysis system computer, user input identifying the new custom metric and one or more input collection objects of the plurality of higher-order objects of the object model stored on the one or more computer-readable storage media; decomposing, by the data analysis system computer, the one or more input collection objects into two or more child objects based on the object model; applying, by the data analysis system computer, the new custom metric to the one or more input collection objects by generating an output object based on the raw data corresponding to the two or more child objects. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A non-transitory machine-readable storage medium comprising one or more program instructions recorded thereon, which instructions, when executed by one or more processors, cause the one or more processors to perform the steps of:
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accessing, by a data analysis system computer under program control of a data exploring logic, an object model stored on one or more computer-readable storage media, the object model comprising; a plurality of zero-order building block objects comprising a plurality of instruments corresponding to raw data that dynamically increases over time, wherein the zero-order building block objects are not decomposable into other objects; a plurality of higher-order objects that are decomposable into two or more of the zero-order building block objects; and a plurality of metrics that transform one or more input objects into an output object; providing, to a user for execution on a client computing device, a data analysis application that includes an interface for dynamically creating a custom metric object; receiving from the client computing device, by the data analysis system computer, user input comprising an expression that defines a new custom metric, the expression identifying a first metric configured to group two or more input objects, selected from the plurality of zero-order building block objects and the plurality of higher-order objects, into an output collection object; adding, by the data analysis system computer, the new custom metric to the object model stored on the one or more computer-readable storage media; dynamically loading the new custom metric into the data analysis system computer as a part of the data exploring logic; after loading the new custom metric, dynamically providing access to the new custom metric in the application executing on the client computing device; receiving from the client computing device, by the data analysis system computer, user input identifying the new custom metric and one or more input collection objects of the object model stored on the one or more computer-readable storage media; decomposing, by the data analysis system computer, the one or more input collection objects into two or more child objects based on the object model; applying, by the data analysis system computer, the new custom metric to the one or more input collection objects by generating an output object based on the raw data corresponding to the two or more child objects. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. An application server comprising:
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a network interface that is coupled to a data network for receiving one or more packet flows therefrom; a processor; and one or more stored program instructions for data exploration logic which, when executed by the processor, cause the processor to carry out the steps of; accessing an object model stored on one or more computer-readable storage media, the object model comprising; a plurality of zero-order building block objects comprising a plurality of instruments corresponding to raw data that dynamically increases over time, wherein the zero-order building block objects are not decomposable into other objects; a plurality of higher-order objects that are decomposable into two or more of the zero-order building block objects; and a plurality of metrics that transform one or more input objects into an output object; providing, to a user for execution on a client computing device, a data analysis application that includes an interface for dynamically creating a custom metric object; receiving user input comprising an expression that defines a new custom metric, the expression identifying a first metric configured to group two or more input objects, selected from the plurality of zero-order building block objects and the plurality of higher-order objects, into an output collection object; adding the new custom metric to the object model stored on the one or more computer-readable storage media; dynamically loading the new custom metric as a part of the data exploring logic; after loading the new custom metric, dynamically providing access to the new custom metric in the application executing on the client computing device; receiving user input identifying the new custom metric and one or more input collection objects of the object model stored on the one or more computer-readable storage media; decomposing the one or more input collection objects into two or more child objects based on the object model; applying the new custom metric to the one or more input collection objects by generating an output object based on the raw data corresponding to the two or more child objects. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26, 27)
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Specification