Patents by Inventor Amol Devgan
Amol Devgan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11868372Abstract: A platform for data analytics may be provided in a hosted environment on a multi-tenant system. The platform provider may also provide transactional processing services. Data obtained from processing the transactional services may be stored in an n-dimensional cube with which analytics may be performed. A dimension and hierarchy model may be identified based on correlations between hierarchy dimensions and levels in a dataset, or in schema and queries related to the dataset. Correlations may be further based on data received from a data stream. Priority for calculating a hierarchy may be based on data received from a data stream.Type: GrantFiled: September 30, 2014Date of Patent: January 9, 2024Assignee: Amazon Technologies, Inc.Inventors: Santosh Kalki, Swaminathan Sivasubramanian, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Amol Devgan, Mukul Vijay Karnik
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Patent number: 10812551Abstract: A hosted analytics system may be integrated with transactional data systems and additional data sources such real-time systems and log files. A data processing pipeline may transform data on arrival for incorporation into an n-dimensional cube. Correlation between patterns of events in transactional data may be identified. Upon arrival, new data may be transformed and incorporated into the n-dimensional cube. Similarity between the new data and a previously identified correlation may be determined and flagged.Type: GrantFiled: January 4, 2018Date of Patent: October 20, 2020Assignee: Amazon Technologies, Inc.Inventors: Santosh Kalki, Swaminathan Sivasubramanian, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Amol Devgan, Mukul Vijay Karnik
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Patent number: 10776397Abstract: An online analytical processing system may comprise an n-dimensional cube partitioned into slices, in which each slice may represent data points at the intersections of fixed and variable dimensions. Computation of data points within a slice may be deferred. A dependency graph may be initially constructed, in which the dependency graph is utilized in a subsequent computation. Calculation of data points may be prioritized based on information indicative of a chance that the data points will be accessed.Type: GrantFiled: September 23, 2014Date of Patent: September 15, 2020Assignee: AMAZON TECHNOLOGIES, INC.Inventors: Santosh Kalki, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Swaminathan Sivasubramanian
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Patent number: 10769175Abstract: A hosted analytics system may be integrated with transactional data systems and additional data sources such real-time systems and log files. A data processing pipeline may transform data on arrival for incorporation into an n-dimensional cube. Correlation between patterns of events in transactional data may be identified. Upon arrival, new data may be transformed and incorporated into the n-dimensional cube. Similarity between the new data and a previously identified correlation may be determined and flagged.Type: GrantFiled: September 30, 2014Date of Patent: September 8, 2020Assignee: Amazon Technologies, Inc.Inventors: Santosh Kalki, Swaminathan Sivasubramanian, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Amol Devgan, Mukul Vijay Karnik
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Patent number: 10430438Abstract: An online analytical processing system may comprise an n-dimensional cube structured using slice-based partitioning in which each slice comprises one or more hierarchies of data points. A region of a hierarchy may be classified according to computational demands associated with the region. A scaling or replication mechanism may be applied to the region based on the computational demands associated with that region.Type: GrantFiled: September 23, 2014Date of Patent: October 1, 2019Assignee: Amazon Technologies, Inc.Inventors: Santosh Kalki, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Swaminathan Sivasubramanian
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Patent number: 10162876Abstract: An analytics module may be embedded into an application developed, published, or used by an entity in addition to the owner of the data under analysis. An access token may be submitted by the analytics module to a provider of hosted services. The access token may correspond to an n-dimensional cube containing data at a level of granularity permitted to the application. The access token may incorporate additional policies controlling access to the corresponding n-dimensional cube.Type: GrantFiled: December 17, 2015Date of Patent: December 25, 2018Assignee: Amazon Technologies, Inc.Inventors: Srinivasan Sundar Raghavan, Swaminathan Sivasubramanian, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Santosh Kalki
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Patent number: 9882949Abstract: A hosted analytics system may be integrated with transactional data systems and additional data sources such real-time systems and log files. A data processing pipeline may transform data on arrival for incorporation into an n-dimensional cube. Correlation between patterns of events in transactional data may be identified. Upon arrival, new data may be transformed and incorporated into the n-dimensional cube. Similarity between the new data and a previously identified correlation may be determined and flagged.Type: GrantFiled: September 30, 2014Date of Patent: January 30, 2018Assignee: Amazon Technologies, Inc.Inventors: Santosh Kalki, Swaminathan Sivasubramanian, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Amol Devgan, Mukul Vijay Karnik
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Patent number: 9824133Abstract: A multi-tenant system for providing hosted analytic services may be dynamically configured in response to a request from a user. A request for analytic services may comprise an indication of at least one data source to be incorporated into an n-dimensional cube. A data source connector and transformation pipeline may transform data received from the data source to a format compatible with a dimension and hierarchy model of the n-dimensional cube.Type: GrantFiled: September 23, 2014Date of Patent: November 21, 2017Assignee: Amazon Technologies, Inc.Inventors: Santosh Kalki, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Swaminathan Sivasubramanian
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Patent number: 9229997Abstract: An analytics module may be embedded into an application developed, published, or used by an entity in addition to the owner of the data under analysis. An access token may be submitted by the analytics module to a provider of hosted services. The access token may correspond to an n-dimensional cube containing data at a level of granularity permitted to the application. The access token may incorporate additional policies controlling access to the corresponding n-dimensional cube.Type: GrantFiled: September 23, 2014Date of Patent: January 5, 2016Assignee: Amazon Technologies, Inc.Inventors: Srinivasan Sundar Raghavan, Swaminathan Sivasubramanian, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Santosh Kalki
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Publication number: 20150370872Abstract: An analytics module may be embedded into an application developed, published, or used by an entity in addition to the owner of the data under analysis. An access token may be submitted by the analytics module to a provider of hosted services. The access token may correspond to an n-dimensional cube containing data at a level of granularity permitted to the application. The access token may incorporate additional policies controlling access to the corresponding n-dimensional cube.Type: ApplicationFiled: September 23, 2014Publication date: December 24, 2015Inventors: Srinivasan Sundar Raghavan, Swaminathan Sivasubramanian, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Santosh Kalki
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Publication number: 20150370883Abstract: An online analytical processing system may comprise an n-dimensional cube partitioned into slices, in which each slice may represent data points at the intersections of fixed and variable dimensions. Computation of data points within a slice may be deferred. A dependency graph may be initially constructed, in which the dependency graph is utilized in a subsequent computation. Calculation of data points may be prioritized based on information indicative of a chance that the data points will be accessed.Type: ApplicationFiled: September 23, 2014Publication date: December 24, 2015Inventors: Santosh Kalki, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Swaminathan Sivasubramanian
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Publication number: 20150370882Abstract: An online analytical processing system may comprise an n-dimensional cube structured using slice-based partitioning in which each slice comprises data points corresponding to a set of dimension values fixed across the slice and a set of dimension values allowed to vary. Slices may be partitioned and replicated across computing nodes. Views of the n-dimensional cube may be partially materialized by determining dependencies between slices. A central data dictionary may maintain information about slices and slice dependencies. Dimensions may be added by adding a new slice without requiring immediate recomputation of existing data points.Type: ApplicationFiled: September 23, 2014Publication date: December 24, 2015Inventors: Santosh Kalki, Srinivasan Sundar Raghavan, Mukul Vijay Karnik, Timothy Andrew Rath, Amol Devgan, Swaminathan Sivasubramanian
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Publication number: 20150370881Abstract: An online analytical processing system may comprise an n-dimensional cube structured using slice-based partitioning in which each slice comprises one or more hierarchies of data points. A region of a hierarchy may be classified according to computational demands associated with the region. A scaling or replication mechanism may be applied to the region based on the computational demands associated with that region.Type: ApplicationFiled: September 23, 2014Publication date: December 24, 2015Inventors: Santosh Kalki, Srinivasan Sundar Raghavan, Timothy Andrew Rath, Mukul Vijay Karnik, Amol Devgan, Swaminathan Sivasubramanian