Patents by Inventor Jyoti LEEKA

Jyoti LEEKA 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: 20230418819
    Abstract: In a set of data analytics queries, at least a one of the queries comprising more than one operator, and each query being at least one of i) a producer of data for an other query in the set, and ii) a consumer of data from an other query in the set. In such examples, one or more computing devices identify each producer/consumer relationship between the queries. The one or more computing devices identify one or more optimizations among the queries based on the identified relationships. The one or more computing devices then apply at least one identified optimization to at least one of the queries.
    Type: Application
    Filed: June 22, 2022
    Publication date: December 28, 2023
    Inventors: Jyoti LEEKA, Sunny GAKHAR, Hiren S. PATEL, Marc Todd FRIEDMAN, Brandon HAYNES, Shi QIAO, Alekh JINDAL
  • Patent number: 11847118
    Abstract: In a set of data analytics queries, at least a one of the queries comprising more than one operator, and each query being at least one of i) a producer of data for an other query in the set, and ii) a consumer of data from an other query in the set. In such examples, one or more computing devices identify each producer/consumer relationship between the queries. The one or more computing devices identify one or more optimizations among the queries based on the identified relationships. The one or more computing devices then apply at least one identified optimization to at least one of the queries.
    Type: Grant
    Filed: June 22, 2022
    Date of Patent: December 19, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jyoti Leeka, Sunny Gakhar, Hiren S. Patel, Marc Todd Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal
  • Publication number: 20230350892
    Abstract: Embodiments described herein are directed to generating and returning materialized views for queries (or subexpressions thereof) having a particular relationship with each other. For instance, machine learning-based techniques may be utilized to identify query subexpressions that have at least one of a semantically equivalent relationship or a containment relationship with each other. Responsive to identifying such relationship(s), a materialized view may be generated for the identified subexpressions. When a query is subsequently received, machine learning-based techniques may be utilized to determine whether a subexpression of the query possesses at least one of a semantically equivalent relationship or a containment relationship with another subexpression for which a materialized view has been generated. Responsive to determining that such a subexpression of the query possesses one or more of such relationships, the materialized view generated for the other subexpression is returned.
    Type: Application
    Filed: April 30, 2022
    Publication date: November 2, 2023
    Inventors: Brandon Barry HAYNES, Jyoti LEEKA, Anna PAVLENKO, Rana ALOTAIBI, Alekh JINDAL