公开(公告)号：US20250147986A1

公开(公告)日：2025-05-08

申请号：US18502861

申请日：2023-11-06

Applicant: Oracle International Corporation

Inventor： Nikhil Surve ,  Anitha Ramarao ,  Paul Stephen Benedict ,  Douglas John Marshik ,  Amarpreet Singh Nagra ,  Sesha Sailendra Kona

IPC: G06F16/28 ,  G06F16/26

Abstract: Various embodiments of the present technology generally relate to systems and methods for providing an analytics service governance system to provide data visualizations of system-level metadata. In certain embodiments, a method may comprise operating a data analytics system to implement an analytics service governance process to generate data visualizations (DVs) of system-level metadata using an analytics service configured to generate DVs of user-provided datasets. The analytics service governance process may include establishing a connection to an analytics system database containing the system-level metadata as a dataset, generating a governance dashboard providing access to pre-generated DV options based on selected metadata related to user-created objects in the analytics system database, receiving a user selection of object categories and filters from pre-generated DV options, and producing a governance DV based on the user selection depicting a relationship of objects at the system level from the object categories.

公开(公告)号：US12159106B2

公开(公告)日：2024-12-03

申请号：US17408226

申请日：2021-08-20

Applicant: Oracle International Corporation

Inventor： Michael Malak ,  Manisha Gupta ,  Nikhil Surve ,  Chaohui Yu ,  Luis E. Rivas ,  Luis Ramirez ,  Douglas Savolainen

IPC: G06F40/295 ,  G06F40/20 ,  G06F40/279 ,  G06F40/30

Abstract: In accordance with an embodiment, described herein is a system and method for use of text analytics to transform, analyze, and visualize data, including support for data flows of unstructured text or other types of textual data input. Additionally described are various examples of algorithmic processes and user interfaces that can be used to enable text analytics in particular environments or use cases. In accordance with an embodiment, the system can be implemented within a cloud environment that enables self-service text analytics. A user, for example an organizational business user who may not be expert in the use of machine learning as applied to data processing, can interact with the system via a user interface, to apply natural language processing or other text analysis techniques to a data flow or set of input data, to generate visualizations or other types of useful information associated with the data.

公开(公告)号：US11741118B2

公开(公告)日：2023-08-29

申请号：US17727141

申请日：2022-04-22

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Ananth Venkata ,  Ashish Mittal ,  Venugopal Surendran ,  Nikhil Surve

IPC: G06F16/25

CPC classification number: G06F16/25

Abstract: A computer-implemented method includes providing a fixed portion of a data model, uploading external files to an extended portion of the data model, matching at least some parts of the external files to the fixed portions of the data model, and using data from both the fixed and extended portions of the data model together. A computer-implemented method includes receiving a query from a user to a data model that includes a stored subject area portion and a stored extended subject area portion, accessing at least one storage to retrieve the subject area portion and the extended subject area portion, joining relevant portions of the subject area and extended subject area, extracting answers to the query from the joined portions, and reporting the answers to the user.

公开(公告)号：US11314760B2

公开(公告)日：2022-04-26

申请号：US14862539

申请日：2015-09-23

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Ananth Venkata ,  Ashish Mittal ,  Venugopal Surendran ,  Nikhil Surve

IPC: G06F16/25

Abstract: A computer-implemented method includes providing a fixed portion of a data model, uploading external files to an extended portion of the data model, matching at least some parts of the external files to the fixed portions of the data model, and using data from both the fixed and extended portions of the data model together. A computer-implemented method includes receiving a query from a user to a data model that includes a stored subject area portion and a stored extended subject area portion, accessing at least one storage to retrieve the subject area portion and the extended subject area portion, joining relevant portions of the subject area and extended subject area, extracting answers to the query from the joined portions, and reporting the answers to the user.