Patents by Inventor Michael Kinoti

Michael Kinoti 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).

  • STREAM PROCESSING IN SEARCH DATA PIPELINES
    Publication number: 20200293536
    Abstract: Architecture that decomposes of one or more monolithic data concepts into atomic concepts and related atomic concept dependencies, and provides streaming data processing that processes individual or separate (atomic) data concepts and defined atomic dependencies. The architecture can comprise data-driven data processing that enables the plug-in of new data concepts with minimal effort. Efficient processing of the data concepts is enabled by streaming only required data concepts and corresponding dependencies and enablement of the seamless configuration of data processing between stream processing systems and batch processing systems as a result of data concept decomposition. Incremental and non-incremental metric processing enables realtime access and monitoring of operational parameters and queries.
    Type: Application
    Filed: March 12, 2020
    Publication date: September 17, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Wei Lu, Michael Kinoti, Shengquan Yan, Peng Yu, Xian Zhang, Guixi Zou, Yin He, Xavier Drudis Rius, Miriam Rosenberg, Zijian Zheng
  • Stream processing in search data pipelines
    Patent number: 10628423
    Abstract: Architecture that decomposes of one or more monolithic data concepts into atomic concepts and related atomic concept dependencies, and provides streaming data processing that processes individual or separate (atomic) data concepts and defined atomic dependencies. The architecture can comprise data-driven data processing that enables the plug-in of new data concepts with minimal effort. Efficient processing of the data concepts is enabled by streaming only required data concepts and corresponding dependencies and enablement of the seamless configuration of data processing between stream processing systems and batch processing systems as a result of data concept decomposition. Incremental and non-incremental metric processing enables realtime access and monitoring of operational parameters and queries.
    Type: Grant
    Filed: February 2, 2015
    Date of Patent: April 21, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Wei Lu, Michael Kinoti, Shengquan Yan, Peng Yu, Xian Zhang, Guixi Zou, Yin He, Xavier Drudis Rius, Miriam Rosenberg, Zijian Zheng
  • STREAM PROCESSING IN SEARCH DATA PIPELINES
    Publication number: 20160224632
    Abstract: Architecture that decomposes of one or more monolithic data concepts into atomic concepts and related atomic concept dependencies, and provides streaming data processing that processes individual or separate (atomic) data concepts and defined atomic dependencies. The architecture can comprise data-driven data processing that enables the plug-in of new data concepts with minimal effort. Efficient processing of the data concepts is enabled by streaming only required data concepts and corresponding dependencies and enablement of the seamless configuration of data processing between stream processing systems and batch processing systems as a result of data concept decomposition. Incremental and non-incremental metric processing enables realtime access and monitoring of operational parameters and queries.
    Type: Application
    Filed: February 2, 2015
    Publication date: August 4, 2016
    Applicant: Microsoft Corporation
    Inventors: Wei Lu, Michael Kinoti, Shengquan Yan, Peng Yu, Xian Zhang, Guixi Zou, Yin He, Xavier Drudis Rius, Miriam Rosenberg, Zijian Zheng