Patents by Inventor Kawarjit Bedi

Kawarjit Bedi 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: 20210286848
    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.
    Type: Application
    Filed: March 26, 2021
    Publication date: September 16, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Sainath Chowdary Mallidi, Divij Vaidya, Andi Gutmans
  • Publication number: 20210097048
    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.
    Type: Application
    Filed: October 9, 2020
    Publication date: April 1, 2021
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Xingbo Wang, Sainath Chowdary Mallidi, Andi Gutmans
  • Patent number: 10963512
    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.
    Type: Grant
    Filed: January 20, 2017
    Date of Patent: March 30, 2021
    Assignee: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Sainath Chowdary Mallidi, Divij Vaidya, Andi Gutmans
  • Patent number: 10803034
    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: October 13, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Xingbo Wang, Sainath Chowdary Mallidi, Andi Gutmans
  • Publication number: 20200169619
    Abstract: A coordinated network service that facilitates the design and implementation of a coordinated device network of IoT devices. The coordinated network service defines modules for individual IoT devices or coordinated devices that specify the necessary inputs to the device, the outputs from the device and communication protocols. Via an interface, user devices can select a set of IoT devices and specify how they are connected and the decision making logic associated with communication flow. The coordinated network service can then automatically generate mapping information that implements the decision making logic and provides necessary transformations for communications between the specified devices. The selected modules and mappings form a workflow for the coordinated device network. The coordinated network service can then generate executable code to implement the formed workflow in a coordinated device network.
    Type: Application
    Filed: November 26, 2018
    Publication date: May 28, 2020
    Inventors: Kawarjit Bedi, Sravan Kumar Nandamuri, Piyush Gupta, Atulya Beheray, James Gosling
  • Publication number: 20180210966
    Abstract: Methods, systems, and computer-readable media for query language interoperability in a graph database are disclosed. Data elements are inserted into a graph database using one or more of a plurality of graph database query languages. The graph database query languages comprise a first graph database query language associated with a first data model and a second graph database query language associated with a second data model. The data elements are stored in the graph database using an internal data model that differs from the first and second data models. One or more of the data elements are retrieved from the graph database based at least in part on a query. The query is expressed using a different graph database query language than the graph database query language used to insert the one or more retrieved data elements.
    Type: Application
    Filed: January 20, 2017
    Publication date: July 26, 2018
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Sainath Chowdary Mallidi, Divij Vaidya, Andi Gutmans
  • Publication number: 20180144004
    Abstract: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.
    Type: Application
    Filed: November 23, 2016
    Publication date: May 24, 2018
    Applicant: Amazon Technologies, Inc.
    Inventors: Kawarjit Bedi, Piyush Gupta, Xingbo Wang, Sainath Chowdary Mallidi, Andi Gutmans
  • Publication number: 20080183725
    Abstract: A data processing and storage system is provided. The system includes an aggregator component that stores metadata from at least two disparate data domains. A framework component encapsulates the metadata according to an abstraction model that describes the disparate data domains.
    Type: Application
    Filed: January 31, 2007
    Publication date: July 31, 2008
    Applicant: MICROSOFT CORPORATION
    Inventors: Jose A. Blakeley, Atul Adya, Subramanian Muralidhar, Sergey Melnik, Shyamalan Pather, Xiaosong Yang, Srikanth Mandadi, Pratik Patel, Brahmnes Tsz Foon Fung, Kawarjit Bedi, Daniel G. Dosen, Timothy I. Mallalieu
  • Publication number: 20060200486
    Abstract: A database API is presented that can expose data of non-native data-types, i.e., types that are unknown at API design-time. A broad type-system is used that is understood by both a server and a client. The API can dynamically discover, at run-time, data types that were defined using this broad type-system. The API can retrieve metadata that references a non-native data type in a client type library. A retrieved instance of the non-native data type, in serialized form, may be deserialized using the metadata.
    Type: Application
    Filed: March 7, 2005
    Publication date: September 7, 2006
    Applicant: Microsoft Corporation
    Inventors: Pablo Castro, Blaine Dockter, Kawarjit Bedi, Ramachandran Venkatesh