Patents by Inventor Daniel Seth Morris

Daniel Seth Morris 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).

  • Patent number: 12657168
    Abstract: A data processing service facilitates the creation and processing of data processing pipelines that process data processing jobs defined with respect to a set of tasks in a sequence and with data dependencies associated with each separate task such that the output from one task is used as input for a subsequent task. In various embodiments, the set of tasks include at least one cleanroom task that is executed in a cleanroom station and at least one non-cleanroom task executed in an execution environment of a user where each task is configured to read one or more input datasets and transform the one or more input datasets into one or more output datasets.
    Type: Grant
    Filed: February 11, 2025
    Date of Patent: June 16, 2026
    Assignee: Databricks, Inc.
    Inventors: William Chau, Abhijit Chakankar, Stephen Michael Mahoney, Daniel Seth Morris, Itai Shlomo Weiss
  • Publication number: 20250181772
    Abstract: A data processing service facilitates the creation and processing of data processing pipelines that process data processing jobs defined with respect to a set of tasks in a sequence and with data dependencies associated with each separate task such that the output from one task is used as input for a subsequent task. In various embodiments, the set of tasks include at least one cleanroom task that is executed in a cleanroom station and at least one non-cleanroom task executed in an execution environment of a user where each task is configured to read one or more input datasets and transform the one or more input datasets into one or more output datasets.
    Type: Application
    Filed: February 11, 2025
    Publication date: June 5, 2025
    Inventors: William Chau, Abhijit Chakankar, Stephen Michael Mahoney, Daniel Seth Morris, Itai Shlomo Weiss
  • Publication number: 20250103753
    Abstract: A data processing service facilitates the creation and processing of data processing pipelines that process data processing jobs defined with respect to a set of tasks in a sequence and with data dependencies associated with each separate task such that the output from one task is used as input for a subsequent task. In various embodiments, the set of tasks include at least one cleanroom task that is executed in a cleanroom station and at least one non-cleanroom task executed in an execution environment of a user where each task is configured to read one or more input datasets and transform the one or more input datasets into one or more output datasets.
    Type: Application
    Filed: September 26, 2023
    Publication date: March 27, 2025
    Inventors: William Chau, Abhijit Chakankar, Stephen Michael Mahoney, Daniel Seth Morris, Itai Shlomo Weiss
  • Patent number: 12260003
    Abstract: A data processing service facilitates the creation and processing of data processing pipelines that process data processing jobs defined with respect to a set of tasks in a sequence and with data dependencies associated with each separate task such that the output from one task is used as input for a subsequent task. In various embodiments, the set of tasks include at least one cleanroom task that is executed in a cleanroom station and at least one non-cleanroom task executed in an execution environment of a user where each task is configured to read one or more input datasets and transform the one or more input datasets into one or more output datasets.
    Type: Grant
    Filed: September 26, 2023
    Date of Patent: March 25, 2025
    Assignee: Databricks, Inc.
    Inventors: William Chau, Abhijit Chakankar, Stephen Michael Mahoney, Daniel Seth Morris, Itai Shlomo Weiss
  • Patent number: 12197400
    Abstract: A data processing service receives a request from a first collaborator to create a clean room for data sharing collaboration with at least a second collaborator. In response, the data processing service creates an execution environment separate from the data environment of the first collaborator and the second collaborator. The first and second collaborators can then add content into the clean room in the form of data tables and executable notebooks. Approval from each collaborator is required before a notebook can be executed using any data table shared into the clean room. Upon receiving notebook approval from each collaborator, the data processing service creates a notebook job to execute the notebook on one or more cluster computing resources of the data processing service to generate an output.
    Type: Grant
    Filed: September 25, 2023
    Date of Patent: January 14, 2025
    Assignee: Databricks, Inc.
    Inventors: William Chau, Abhijit Chakankar, Stephen Michael Mahoney, Daniel Seth Morris, Itai Shlomo Weiss