Patents by Inventor Srinidhi Raghavan

Srinidhi Raghavan 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).

  • Efficient Storage and Query of Schemaless Data
    Publication number: 20240037146
    Abstract: A method of storing semi-structured data includes receiving user data from a user of a query system where the user data includes semi-structured user data. The method also includes receiving an indication that the semi-structured user data fails to include a fixed schema. In response to the indication that the semi-structured user data fails to include the fixed schema, the method further includes parsing the semi-structured user data into a plurality of data paths and extracting a data type associated with each respective data path of the plurality of data paths. The method additionally includes storing the semi-structured user data as a row entry in a table of a database in communication with the query system wherein each column value associated with the row entry corresponds to a respective one of the plurality of data paths and the data type associated with the respective data path.
    Type: Application
    Filed: October 9, 2023
    Publication date: February 1, 2024
    Applicant: Google LLC
    Inventors: Luis Alonso, Vladislav Grachev, Hossein Ahmadi, Srinagesh Susarla, Francis Lan, Srinidhi Raghavan, Vinay Balasubramaniam, Oleksandr Blyzniuchenko
  • Efficient storage and query of schemaless data
    Patent number: 11816157
    Abstract: A method of storing semi-structured data includes receiving user data from a user of a query system where the user data includes semi-structured user data. The method also includes receiving an indication that the semi-structured user data fails to include a fixed schema. In response to the indication that the semi-structured user data fails to include the fixed schema, the method further includes parsing the semi-structured user data into a plurality of data paths and extracting a data type associated with each respective data path of the plurality of data paths. The method additionally includes storing the semi-structured user data as a row entry in a table of a database in communication with the query system wherein each column value associated with the row entry corresponds to a respective one of the plurality of data paths and the data type associated with the respective data path.
    Type: Grant
    Filed: May 5, 2021
    Date of Patent: November 14, 2023
    Assignee: Google LLC
    Inventors: Luis Alonso, Vladislav Grachev, Hossein Ahmadi, Srinagesh Susarla, Francis Lan, Srinidhi Raghavan, Vinay Balasubramaniam, Oleksandr Blyzniuchenko
  • Efficient Storage and Query of Schemaless Data
    Publication number: 20220358160
    Abstract: A method of storing semi-structured data includes receiving user data from a user of a query system where the user data includes semi-structured user data. The method also includes receiving an indication that the semi-structured user data fails to include a fixed schema. In response to the indication that the semi-structured user data fails to include the fixed schema, the method further includes parsing the semi-structured user data into a plurality of data paths and extracting a data type associated with each respective data path of the plurality of data paths. The method additionally includes storing the semi-structured user data as a row entry in a table of a database in communication with the query system wherein each column value associated with the row entry corresponds to a respective one of the plurality of data paths and the data type associated with the respective data path.
    Type: Application
    Filed: May 5, 2021
    Publication date: November 10, 2022
    Applicant: Google LLC
    Inventors: Luis Alonso, Vladislav Grachev, Hossein Ahmadi, Srinagesh Susarla, Francis Lan, Srinidhi Raghavan, Vinay Balasubramaniam, Oleksandr Blyzniuchenko