公开(公告)号：US11379496B2

公开(公告)日：2022-07-05

申请号：US16852069

申请日：2020-04-17

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Saugata Chowdhury ,  Jagdish Chand ,  Ispati Nautiyal ,  Saurav Mohapatra ,  Akshay Satyendranath

IPC: G06F16/25 ,  G06F16/11

Abstract: Systems and methods for providing a universal format driven data transformation. In conventional ETL operations, the transform process that transforms data from the source format to the destination format is based on a transformation program. Conventionally, transform logic is developed around the chosen transform program. In accordance with an embodiment, a universal, format-driven data transform can be achieved through the use of a data transformation format. In accordance with an embodiment, a method for providing a universal format driven data transformation can include providing a transformation format in a file, wherein the transformation format is in a human-readable form; and providing, in the transformation format, keywords defining a target table type, a dataset list, and dataset operations to be performed on a dataset from the dataset list.

公开(公告)号：US20200334608A1

公开(公告)日：2020-10-22

申请号：US16851872

申请日：2020-04-17

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Krishnan Ramanathan ,  Jagdish Chand ,  Aman Madaan

IPC: G06Q10/06 ,  G06F16/27 ,  G06F16/28 ,  G06N5/04 ,  G06Q30/02 ,  G06Q30/00

Abstract: In accordance with an embodiment, described herein are systems and methods for use with an analytic applications environment, for determination of recommendations and alerts in such environments. A data pipeline or process can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. When provided as part of a software-as-a-service (SaaS) or cloud environment, the data sourced from a plurality of organizations can be aggregated, to leverage information gleaned from the collective or shared data. The system can be used to generate semantic alerts, including obtaining permission from; and analyzing the collective data of; the plurality of organizations, to determine operational advantages indicated by the data, and providing alerts associated with those operational advantages.

公开(公告)号：US20250013652A1

公开(公告)日：2025-01-09

申请号：US18889201

申请日：2024-09-18

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Dirk Reinshagen ,  Jagdish Chand ,  Ananth Venkata ,  Renu Chintalapati

IPC: G06F16/2458 ,  G06F16/21 ,  G06F16/22 ,  G06F16/28

Abstract: In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.

公开(公告)号：US12124461B2

公开(公告)日：2024-10-22

申请号：US18137306

申请日：2023-04-20

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Dirk Reinshagen ,  Jagdish Chand ,  Ananth Venkata ,  Renu Chintalapati

IPC: G06F16/2458 ,  G06F16/21 ,  G06F16/22 ,  G06F16/28

CPC classification number: G06F16/2465 ,  G06F16/211 ,  G06F16/2282 ,  G06F16/283

Abstract: In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.

公开(公告)号：US20240242162A1

公开(公告)日：2024-07-18

申请号：US18096358

申请日：2023-01-12

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Dipawesh Pawar ,  Krishnan Ramanathan ,  Jagdish Chand

IPC: G06Q10/0639 ,  G06F40/30 ,  G06Q10/0631

CPC classification number: G06Q10/06398 ,  G06F40/30 ,  G06Q10/063112

Abstract: Embodiments described herein are generally related to computer data analytics, and computer-based methods of providing business intelligence data, and are particularly related to systems and methods for use with enterprise data for profile matching and generating gap scores and upskilling recommendations. In accordance with an embodiment, the system can operate to match a set of position requirements with candidate attributes or skillsets, ranking them on the basis of match scores. The system can be used, for example, to determine a skill gap between the position requirements and candidate attributes, and recommend which skills might be augmented to better address the position requirements.

公开(公告)号：US20250104011A1

公开(公告)日：2025-03-27

申请号：US18680364

申请日：2024-05-31

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Vikas Agrawal ,  Jagdish Chand ,  Krishnan Ramanathan

IPC: G06Q10/087 ,  G06Q10/0631 ,  G06Q10/067 ,  G06Q30/0202

Abstract: In accordance with an embodiment, described herein are systems and methods for providing a supply chain command center for intelligent procurement assistance, based on an assessment of inventory trends, demand, or other inputs related to the procurement or management of an inventory of items. In accordance with an embodiment, the system can simultaneously optimize for a set of variables related to procurement, by creating time series forecasts of leaf-level independent variables, and performing a simulation within the boundary conditions of historical or expected distributions of each variable, to determine an optimal timing, quantity, location and/or vendor for each order of items that are to be placed in the inventory.

公开(公告)号：US20230252037A1

公开(公告)日：2023-08-10

申请号：US18137306

申请日：2023-04-20

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Dirk Reinshagen ,  Jagdish Chand ,  Ananth Venkata ,  Renu Chintalapati

IPC: G06F16/2458 ,  G06F16/22 ,  G06F16/21 ,  G06F16/28

CPC classification number: G06F16/2465 ,  G06F16/2282 ,  G06F16/211 ,  G06F16/283

Abstract: In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.

公开(公告)号：US20200349155A1

公开(公告)日：2020-11-05

申请号：US16862394

申请日：2020-04-29

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Dirk Reinshagen ,  Jagdish Chand ,  Ananth Venkata ,  Renu Chintalapati

IPC: G06F16/2458 ,  G06F16/28 ,  G06F16/21 ,  G06F16/22

Abstract: In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.

公开(公告)号：US12067025B2

公开(公告)日：2024-08-20

申请号：US17855933

申请日：2022-07-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Saugata Chowdhury ,  Jagdish Chand ,  Ispati Nautiyal ,  Saurav Mohapatra ,  Akshay Satyendranath

IPC: G06F16/25 ,  G06F16/11

CPC classification number: G06F16/254 ,  G06F16/116

Abstract: Systems and methods for providing a universal format driven data transformation. In conventional ETL operations, the transform process that transforms data from the source format to the destination format is based on a transformation program. Conventionally, transform logic is developed around the chosen transform program. In accordance with an embodiment, a universal, format-driven data transform can be achieved through the use of a data transformation format. In accordance with an embodiment, a method for providing a universal format driven data transformation can include providing a transformation format in a file, wherein the transformation format is in a human-readable form; and providing, in the transformation format, keywords defining a target table type, a dataset list, and dataset operations to be performed on a dataset from the dataset list.

公开(公告)号：US20240257019A1

公开(公告)日：2024-08-01

申请号：US18632114

申请日：2024-04-10

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Krishnan Ramanathan ,  Jagdish Chand ,  Aman Madaan

IPC: G06Q10/0637 ,  G06F16/21 ,  G06F16/25 ,  G06F16/27 ,  G06F16/28 ,  G06F17/18 ,  G06N5/04 ,  G06Q30/0201

CPC classification number: G06Q10/06375 ,  G06F16/211 ,  G06F16/254 ,  G06F16/27 ,  G06F16/283 ,  G06F17/18 ,  G06N5/04 ,  G06Q30/0201 ,  G06Q30/0206

Abstract: In accordance with an embodiment, described herein are systems and methods for use with an analytic applications environment, for determination of recommendations and alerts in such environments. A data pipeline or process can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. When provided as part of a software-as-a-service (SaaS) or cloud environment, the data sourced from a plurality of organizations can be aggregated, to leverage information gleaned from the collective or shared data. The system can be used to generate semantic alerts, including obtaining permission from; and analyzing the collective data of; the plurality of organizations, to determine operational advantages indicated by the data, and providing alerts associated with those operational advantages.