Patents by Inventor Bryan D. KAPLAN

Bryan D. KAPLAN 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).

  • Creation of a cumulative schema based on an inferred schema and statistics
    Patent number: 10983967
    Abstract: A data transformation system includes a schema inference module and an export module. The schema inference module is configured to dynamically create a cumulative schema for objects retrieved from a first data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. Dynamically creating the cumulative schema includes, for each object of the retrieved objects, (i) inferring a schema from the object and (ii) selectively updating the cumulative schema to describe the object according to the inferred schema. The export module is configured to output the data of the retrieved objects to a data destination system according to the cumulative schema.
    Type: Grant
    Filed: April 3, 2017
    Date of Patent: April 20, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Dimitris Tsirogiannis, Nathan A. Binkert, Stavros Harizopoulos, Mehul A. Shah, Benjamin A. Sowell, Bryan D. Kaplan, Kevin R. Meyer
  • Scalable analysis platform for semi-structured data
    Patent number: 10275475
    Abstract: A method of operating a data analysis system includes retrieving objects from a data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. The method further includes dynamically creating a cumulative schema by, for each object of the retrieved objects: (i) inferring a schema from the object based on the metadata of the object and inferred data types of elements of the data of the object, (ii) creating a unified schema, wherein the unified schema describes both (a) the object described by the inferred schema and (b) a cumulative set of objects described by the cumulative schema, and (iii) storing the unified schema as the cumulative schema. The method further includes exporting the data of each of the retrieved objects to a data warehouse.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: April 30, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Dimitris Tsirogiannis, Nathan A. Binkert, Stavros Harizopoulos, Mehul A. Shah, Benjamin A. Sowell, Bryan D. Kaplan, Kevin R. Meyer
  • SCALABLE ANALYSIS PLATFORM FOR SEMI-STRUCTURED DATA
    Publication number: 20170206256
    Abstract: A data transformation system includes a schema inference module and an export module. The schema inference module is configured to dynamically create a cumulative schema for objects retrieved from a first data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. Dynamically creating the cumulative schema includes, for each object of the retrieved objects, (i) inferring a schema from the object and (ii) selectively updating the cumulative schema to describe the object according to the inferred schema. The export module is configured to output the data of the retrieved objects to a data destination system according to the cumulative schema.
    Type: Application
    Filed: April 3, 2017
    Publication date: July 20, 2017
    Applicant: Amazon Technologies, Inc.
    Inventors: Dimitris Tsirogiannis, Nathan A. Binkert, Stavros Harizopoulos, Mehul A. Shah, Benjamin A. Sowell, Bryan D. Kaplan, Kevin R. Meyer
  • Scalable analysis platform for semi-structured data
    Patent number: 9613068
    Abstract: A data transformation system includes a schema inference module and an export module. The schema inference module is configured to dynamically create a cumulative schema for objects retrieved from a first data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. Dynamically creating the cumulative schema includes, for each object of the retrieved objects, (i) inferring a schema from the object and (ii) selectively updating the cumulative schema to describe the object according to the inferred schema. The export module is configured to output the data of the retrieved objects to a data destination system according to the cumulative schema.
    Type: Grant
    Filed: March 14, 2014
    Date of Patent: April 4, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Dimitris Tsirogiannis, Nathan A. Binkert, Stavros Harizopoulos, Mehul A. Shah, Benjamin Sowell, Bryan D. Kaplan, Kevin R. Meyer
  • Scalable Analysis Platform For Semi-Structured Data
    Publication number: 20140279838
    Abstract: A data transformation system includes a schema inference module and an export module. The schema inference module is configured to dynamically create a cumulative schema for objects retrieved from a first data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. Dynamically creating the cumulative schema includes, for each object of the retrieved objects, (i) inferring a schema from the object and (ii) selectively updating the cumulative schema to describe the object according to the inferred schema. The export module is configured to output the data of the retrieved objects to a data destination system according to the cumulative schema.
    Type: Application
    Filed: March 14, 2014
    Publication date: September 18, 2014
    Applicant: AMIATO, INC.
    Inventors: Dimitris TSIROGIANNIS, Nathan A. BINKERT, Stavros HARIZOPOULOS, Mehul A. SHAH, Benjamin SOWELL, Bryan D. KAPLAN, Kevin R. MEYER
  • Scalable Analysis Platform For Semi-Structured Data
    Publication number: 20140279834
    Abstract: A method of operating a data analysis system includes retrieving objects from a data source. Each of the retrieved objects includes (i) data and (ii) metadata describing the data. The method further includes dynamically creating a cumulative schema by, for each object of the retrieved objects: (i) inferring a schema from the object based on the metadata of the object and inferred data types of elements of the data of the object, (ii) creating a unified schema, wherein the unified schema describes both (a) the object described by the inferred schema and (b) a cumulative set of objects described by the cumulative schema, and (iii) storing the unified schema as the cumulative schema. The method further includes exporting the data of each of the retrieved objects to a data warehouse.
    Type: Application
    Filed: March 14, 2014
    Publication date: September 18, 2014
    Applicant: AMIATO, INC.
    Inventors: Dimitris TSIROGIANNIS, Nathan A. BINKERT, Stavros HARIZOPOULOS, Mehul A. SHAH, Benjamin SOWELL, Bryan D. KAPLAN, Kevin R. MEYER