Patents by Inventor John Glenn Eshleman

John Glenn Eshleman 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).

  • Publication number: 20180137180
    Abstract: 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.
    Type: Application
    Filed: October 18, 2017
    Publication date: May 17, 2018
    Inventors: Prithvi Prabhu, Benjamin Mark Werther, Kevin Scott Beyer, John Glenn Eshleman, James Mulholland
  • Patent number: 9940375
    Abstract: 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.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: April 10, 2018
    Assignee: Workday, Inc.
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian Babcock, Carl-Christian Kanne
  • Patent number: 9934299
    Abstract: Systems and methods for interest-driven data visualization systems in accordance with embodiments of the invention are illustrated.
    Type: Grant
    Filed: December 24, 2013
    Date of Patent: April 3, 2018
    Assignee: Workday, Inc.
    Inventors: Prithvi Prabhu, James Mulholland, Hans-Frederick Brown, Benjamin Mark Werther, Kevin Scott Beyer, John Glenn Eshleman
  • Publication number: 20180067999
    Abstract: Systems and methods for interest-driven data sharing in interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated.
    Type: Application
    Filed: August 11, 2017
    Publication date: March 8, 2018
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian F. Babcock, Carl-Christian Kanne
  • Patent number: 9824127
    Abstract: 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.
    Type: Grant
    Filed: March 8, 2013
    Date of Patent: November 21, 2017
    Assignee: Workday, Inc.
    Inventors: Prithvi Prabhu, Benjamin Mark Werther, Kevin Scott Beyer, John Glenn Eshleman, James Mulholland
  • Patent number: 9767173
    Abstract: Systems and methods for interest-driven data sharing in interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated.
    Type: Grant
    Filed: March 8, 2013
    Date of Patent: September 19, 2017
    Assignee: Workday, Inc.
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian Babcock, Carl-Christian Kanne
  • Publication number: 20170193067
    Abstract: 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.
    Type: Application
    Filed: July 29, 2016
    Publication date: July 6, 2017
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian Babcock, Carl-Christian Kanne
  • Patent number: 9405811
    Abstract: 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.
    Type: Grant
    Filed: March 8, 2013
    Date of Patent: August 2, 2016
    Assignee: Platfora, Inc.
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian Babcock, Carl-Christian Kanne
  • Patent number: 9323791
    Abstract: A computer readable storage medium includes executable instructions to evaluate an expanded shared-nothing data store configuration. A data redistribution schedule table with specified parameters is formed. Data is redistributed within the expanded shared-nothing data store in accordance with the data redistribution schedule table.
    Type: Grant
    Filed: June 5, 2014
    Date of Patent: April 26, 2016
    Assignee: Pivotal Software, Inc.
    Inventors: Brian Hagenbuch, Gavin Sherry, Jeffrey Ira Cohen, Chris Pedrotti, John Glenn Eshleman, Florian Michael Waas, Joy Kent
  • Patent number: 9058351
    Abstract: A computer readable storage medium includes executable instructions to store load data in new rows of an append only table within a data warehouse, without updating or deleting existing rows in the append only table. The new rows are added in a database transaction that guarantees that the distributed reads and writes of all transactions are processed reliably and that the transactions obey snapshot isolation rules. Data changes associated with the load data are maintained in a separate update table. Data from the append only table is merged with data changes from the update table to supply read data.
    Type: Grant
    Filed: April 29, 2014
    Date of Patent: June 16, 2015
    Assignee: Pivotal Software, Inc.
    Inventors: Matthew C. McCline, Luke Lonergan, Kurt Harriman, John Glenn Eshleman, Alon Goldshuv, Jeffrey Ira Cohen
  • Publication number: 20150112969
    Abstract: Systems and methods for interest-driven data visualization systems in accordance with embodiments of the invention are illustrated.
    Type: Application
    Filed: December 24, 2013
    Publication date: April 23, 2015
    Applicant: Platfora, Inc.
    Inventors: Prithvi Prabhu, James Mulholland, Hans-Frederick Brown, Benjamin Mark Werther, Kevin Scott Beyer, John Glenn Eshleman
  • Publication number: 20150006589
    Abstract: A computer readable storage medium includes executable instructions to evaluate an expanded shared-nothing data store configuration. A data redistribution schedule table with specified parameters is formed. Data is redistributed within the expanded shared-nothing data store in accordance with the data redistribution schedule table.
    Type: Application
    Filed: June 5, 2014
    Publication date: January 1, 2015
    Inventors: Brian Hagenbuch, Gavin Sherry, Jeffrey Ira Cohen, Chris Pedrotti, John Glenn Eshleman, Florian Michael Waas, Joy Kent
  • Publication number: 20140351202
    Abstract: A computer readable storage medium includes executable instructions to store load data in new rows of an append only table within a data warehouse, without updating or deleting existing rows in the append only table. The new rows are added in a database transaction that guarantees that the distributed reads and writes of all transactions are processed reliably and that the transactions obey snapshot isolation rules. Data changes associated with the load data are maintained in a separate update table. Data from the append only table is merged with data changes from the update table to supply read data.
    Type: Application
    Filed: April 29, 2014
    Publication date: November 27, 2014
    Applicant: Pivotal Software, Inc.
    Inventors: Matthew C. McCline, Luke Lonergan, Kurt Harriman, John Glenn Eshleman, Alon Goldshuv, Jeffrey Ira Cohen
  • Publication number: 20140258209
    Abstract: 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.
    Type: Application
    Filed: March 8, 2013
    Publication date: September 11, 2014
    Applicant: Platfora, Inc.
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian Babcock, Carl-Christian Kanne
  • Patent number: 8762333
    Abstract: A computer readable storage medium includes executable instructions to store load data in new rows of an append only table within a data warehouse, without updating or deleting existing rows in the append only table. The new rows are added in a database transaction that guarantees that the distributed reads and writes of all transactions are processed reliably and that the transactions obey snapshot isolation rules. Data changes associated with the load data are maintained in a separate update table. Data from the append only table is merged with data changes from the update table to supply read data.
    Type: Grant
    Filed: July 8, 2009
    Date of Patent: June 24, 2014
    Assignee: Pivotal Software, Inc.
    Inventors: Matthew Clark McCline, Luke Lonergan, Kurt Harriman, John Glenn Eshleman, Alon Goldshuv, Jeffrey Ira Cohen
  • Publication number: 20140114971
    Abstract: Systems and methods for interest-driven data sharing in interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated.
    Type: Application
    Filed: March 8, 2013
    Publication date: April 24, 2014
    Applicant: Platfora, Inc.
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian Babcock, Carl-Christan Kanne
  • Publication number: 20140114970
    Abstract: 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.
    Type: Application
    Filed: March 8, 2013
    Publication date: April 24, 2014
    Applicant: Platfora, Inc.
    Inventors: Prithvi Prabu, Benjamin Mark Werther, Kevin Scott Beyer, John Glenn Eshleman, James Mulholland
  • Publication number: 20130238551
    Abstract: 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.
    Type: Application
    Filed: April 26, 2013
    Publication date: September 12, 2013
    Applicant: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Baboock, Yewei Zhang
  • Patent number: 8447721
    Abstract: 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.
    Type: Grant
    Filed: February 29, 2012
    Date of Patent: May 21, 2013
    Assignee: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Babcock, Yewei Zhang
  • Publication number: 20130013552
    Abstract: 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.
    Type: Application
    Filed: February 29, 2012
    Publication date: January 10, 2013
    Applicant: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Babcock, Yewei Zhang