Google llc (20240193295). Scalable Dataset Sharing With Linked Datasets simplified abstract

Scalable Dataset Sharing With Linked Datasets

Organization Name

google llc

Inventor(s)

Thibaud Hottelier of Seattle WA (US)

Brian Lee Welcker of Seattle WA (US)

Jonah Tang Soon Yuen of Sunnyvale CA (US)

Neil Martin Devine of Santa Clara CA (US)

Scalable Dataset Sharing With Linked Datasets - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240193295 titled 'Scalable Dataset Sharing With Linked Datasets

Simplified Explanation

The patent application discusses a system that manages access to published data by different user groups through linked datasets. A subscriber system creates a linked dataset connecting to a source dataset published by a publisher system. Queries to the linked dataset are redirected to the source dataset, allowing the subscriber system to control access without needing to copy the source dataset.

• The system manages access to published data through linked datasets.
• Queries to the linked dataset are redirected to the source dataset.
• The subscriber system controls access without copying the source dataset.

Key Features and Innovation

• Management of access to published data through linked datasets.
• Redirection of queries from the linked dataset to the source dataset.
• Subscriber system controls access without needing to copy the source dataset.

Potential Applications

The technology can be applied in various industries such as data management, information sharing, and access control systems.

Problems Solved

The system addresses the challenge of managing access to published data by different user groups efficiently and securely.

Benefits

• Improved access control to published data.
• Real-time updates without the need for data replication.
• Enhanced security and efficiency in data management.

Commercial Applications

The technology can be utilized in data management platforms, information sharing systems, and access control solutions, offering enhanced security and efficiency in managing published data.

Prior Art

Readers can explore prior research on linked datasets, access control systems, and data management technologies to understand the background of this innovation.

Frequently Updated Research

Stay updated on advancements in linked datasets, access control systems, and data management technologies to enhance understanding of the evolving landscape in this field.

Questions about the Technology

How does the system ensure secure access control to published data?

The system uses linked datasets to manage access, redirecting queries to the source dataset for enhanced security.

What are the advantages of real-time updates without data replication?

Real-time updates allow subscribers to access the latest data instantly without waiting for copies to propagate, improving efficiency and accuracy.

Original Abstract Submitted

aspects of the disclosure relate to managing access to published data by different groups of users through linked datasets. a subscriber system generates a linked dataset that links the subscriber system to a source dataset published by a publisher system. the subscriber system queries the linked dataset. queries to the linked dataset are redirected to the source dataset. the subscriber system manages access control to the linked dataset instead of the publisher system managing access control for the subscriber system directly to the source dataset. the source dataset does not need to be copied to the subscriber system. from the perspective of the subscriber system, changes to the source dataset appear instantly, as subscribers may query the source dataset through the linked dataset without waiting for copies of the source dataset to propagate.