Patents by Inventor Ethan Breder

Ethan Breder 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: 20240143617
    Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.
    Type: Application
    Filed: October 17, 2023
    Publication date: May 2, 2024
    Inventors: Gregory O'Connor, Samuel Fendell, Ethan Breder, William Rhyne, Michael Kodiak, Thomas Haynes
  • Patent number: 11841874
    Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.
    Type: Grant
    Filed: September 16, 2022
    Date of Patent: December 12, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: Gregory O'Connor, Samuel Fendell, Ethan Breder, William Rhyne, Michael Kodiak, Thomas Haynes
  • Publication number: 20230013821
    Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.
    Type: Application
    Filed: September 16, 2022
    Publication date: January 19, 2023
    Inventors: Gregory O'Connor, Samuel Fendell, Ethan Breder, William Rhyne, Michael Kodiak, Thomas Haynes
  • Patent number: 11475033
    Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.
    Type: Grant
    Filed: March 16, 2021
    Date of Patent: October 18, 2022
    Assignee: Palantir Technologies Inc.
    Inventors: Gregory O'Connor, Samuel Fendell, Ethan Breder, William Rhyne, Michael Kodiak, Thomas Haynes
  • Publication number: 20210209123
    Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.
    Type: Application
    Filed: March 16, 2021
    Publication date: July 8, 2021
    Inventors: Gregory O'Connor, Samuel Fendell, Ethan Breder, William Rhyne, Michael Kodiak, Thomas Haynes
  • Patent number: 10977267
    Abstract: An approach for transforming a large dataset using user interface-based transformations applied to a sample of the dataset is disclosed. The sample of the large dataset has the same or similar format as the large dataset. A user can quickly apply transformations to the sample dataset using UI-based instructions. The UI-based instructions can be used to create a transformation job that can be configured to run on a backed database, such as a distributed database, to apply the transformations to the large dataset.
    Type: Grant
    Filed: August 11, 2017
    Date of Patent: April 13, 2021
    Assignee: Palantir Technologies Inc.
    Inventors: Gregory O'Connor, Samuel Fendell, Ethan Breder, William Rhyne, Michael Kodiak, Thomas Haynes