Patent application number | Description | Published |
20100211572 | INDEXING AND SEARCHING JSON OBJECTS - Disclosed is a method of encoding JavaScript Object Notation (JSON) documents in an inverted index, wherein a tree representation of a JSON document is first generated, and, next, the JSON document is shredded into a list of tuples for each atom node, n, in the tree, where value is a label associated with n, path is a concatenation of node labels associated with ancestors of n, type is a description of a type of value, and jdewey of n is a partial Dewey code of its closest ancestor array node, if one exists, or empty, otherwise. Lastly, an inverted index is built using as index term, and jdewey as payload. A method is also described to search the inverted index. | 08-19-2010 |
20120311581 | ADAPTIVE PARALLEL DATA PROCESSING - Described herein are methods, systems, apparatuses and products for adaptive parallel data processing. An aspect provides providing a map phase in which at least one map function is applied in parallel on different partitions of input data at different mappers in a parallel data processing system; providing a communication channel between mappers using a distributed meta-data store, wherein said map phase comprises mapper data processing adapted responsive to communication with said distributed meta-data store; and providing data accessible by at least one reduce phase node in which at least one reduce function is applied. Other embodiments are disclosed. | 12-06-2012 |
20130013552 | Interest-Driven Business Intelligence Systems and Methods of Data Analysis Using Interest-Driven Data Pipelines - Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata. | 01-10-2013 |
20130226860 | Interest-Driven Business Intelligence Systems and Methods of Data Analysis Using Interest-Driven Data Pipelines - Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata. | 08-29-2013 |
20130238551 | Interest-Driven Business Intelligence Systems and Methods of Data Analysis Using Interest-Driven Data Pipelines - Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata. | 09-12-2013 |
20140114970 | Systems and Methods for Interest-Driven Data Visualization Systems Utilized in Interest-Driven Business Intelligence Systems - Systems and methods for interest-driven data visualization systems in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven data visualization system includes a processor, a memory connected configured to store an interest-driven data visualization application, and metadata storage, wherein the interest-driven data visualization application configures the processor to define reporting data requirements, generate data retrieval job data based on the reporting data requirements, transmit the data retrieval job data, receive aggregate data, create at least one piece of reporting data using the received aggregate data and the reporting data requirements, associate visualization metadata with the reporting data describing the visual appearance of the at least one piece of reporting data, and generate a report using the reporting data requirements and the visualization metadata. | 04-24-2014 |
20140114971 | Systems and Methods for Interest-Driven Data Sharing in Interest-Driven Business Intelligence Systems - Systems and methods for interest-driven data sharing in interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven data sharing server system includes a processor, a memory configured to store an interest-driven data sharing application, raw data storage, metadata storage configured to store data description metadata describing the raw data, and report storage configured to store previously generated reports, wherein the interest-driven data sharing application configures the processor to receive a report specification, locate at least one previously generated report stored in the report storage, identify raw data stored in the raw data storage using the data description metadata and at least one of the reporting data requirements, calculate redundant data metadata using the located previously generated reports and the identified raw data, determine modified reporting data requirements, retrieve updated source data, and generate reporting data based on the updated source data. | 04-24-2014 |
20140258209 | Systems and Methods for Interest-Driven Distributed Data Server Systems - Systems and methods for interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven distributed data server system includes a processor, an interest-driven distributed data server application, aggregate data storage, and a data source directory, wherein the interest-driven distributed data server application configures the processor to obtain reporting data requirements, determine at least one data dimension using the reporting data requirements, identify at least one data source identified that can provide data associated with the data dimension, generate data source job data, transmit the data source job data to at least one data source, and receive job response data, store the received job response data in the aggregate data storage, build reporting data based on the reporting data requirements, and transmit the reporting data. | 09-11-2014 |
20150081618 | Systems and Methods for Interest-Driven Business Intelligence Systems Including Event-Oriented Data - Systems and methods for interest-driven business intelligence systems including event-oriented data in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven business intelligence system includes raw data storage configured to contain raw data and perform ETL processes, a data mart configured to contain metadata that describes the raw data, and an intermediate processing layer, wherein the intermediate processing layer is configured to compile an interest-driven data pipeline configured to generate ETL processing jobs to generate event-oriented data from the raw data by filtering the raw data based on the metadata describing the raw data, determining ordering data based on the metadata describing the raw data, aligning the filtered raw data based on the ordering data, and generating event-oriented data based on the aligned filtered raw data, and storing the event-oriented data in the data mart. | 03-19-2015 |
20150081619 | Systems and Methods for Interest-Driven Business Intelligence Systems Including Geo-Spatial Data - Systems and methods for interest-driven business intelligence systems including geo-spatial data in accordance with embodiments of the invention are illustrated. An interest-driven business intelligence system including raw data storage and perform extract, transform, and load processes, a data mart, and an intermediate processing layer, wherein the intermediate processing layer is configured to automatically generate metadata describing the raw data, derive reporting data requirements, and compile an interest-driven data pipeline based upon the reporting data requirements, where compiling the interest-driven data pipeline includes generating ETL processing jobs to generate geo-spatial data from the raw data, determining bounding data, bounding the filtered raw data based on the bounding data, generating geo-spatial data, and storing the geo-spatial data, generating reporting data including data satisfying the reporting data requirements based on the geo-spatial data, and storing the reporting data in the data mart for exploration by an interest-driven data visualization system. | 03-19-2015 |