Clean Room Station for Secure Data Collaboration

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing data clean room technologies face challenges in enabling secure, privacy-protecting collaboration among multiple entities without exposing sensitive data, often requiring significant coordination and lacking equal privileges among collaborators.

Innovation Solution

A data processing service creates a secure, isolated environment called a clean room station, where collaborators can share data and execute notebooks without direct access to each other's data, ensuring data security and equality through explicit approval mechanisms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If entities collaborate to share data for processing tasks, then data processing capability and insight generation are improved, but data security and privacy protection deteriorate due to exposure risks

Engineering Contradiction:

Improvedata processing capabilityVSAvoiddata exposure risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a clean room environment as an intermediary platform that mediates data collaboration between entities. This clean room acts as a trusted mediator where data can be processed and analyzed without direct exposure between parties, thus enabling productivity improvement while maintaining data security through the intermediary layer

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent segments the data collaboration process into distinct isolated environments (clean rooms) that are separated from each other. Each entity's data remains in its own segmented space while still allowing controlled access for processing, preventing direct exposure while enabling collaborative analytics through the segmented architecture

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If a separate entity coordinates data and processing tasks for collaborators, then data collaboration is enabled, but system complexity and coordination overhead increase

Engineering Contradiction:

Improvedata collaboration capabilityVSAvoidcoordination structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements self-service mechanisms where collaborators can independently manage their own data access and processing within the clean room environment. The system provides automated approval workflows and self-contained execution environments that reduce the need for external coordination, allowing entities to serve themselves while maintaining security protocols

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The clean room platform provides universal functionality that handles multiple collaboration scenarios through a single unified system. Rather than requiring separate coordination structures for different use cases, the patent creates a multi-functional platform that can accommodate various data collaboration needs through standardized interfaces and processes

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Reliability

If collaborators have equal privileges in the clean room, then fairness and security are improved, but operational flexibility and ease of use deteriorate

Engineering Contradiction:

Improvedata securityVSAvoidoperational flexibility

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent implements dynamic privilege management where access rights and operational permissions can change based on the specific task, data sensitivity, and approval status. Rather than static equal privileges, the system dynamically adjusts permissions to balance security requirements with operational needs, allowing flexible access control that adapts to different collaboration scenarios

Inventive Principle:

Principle #15Dynamics

4Object-affected harmful factors

If explicit approval mechanisms are required for data access and notebook execution, then data security is improved, but processing time and operational efficiency deteriorate

Engineering Contradiction:

Improvedata securityVSAvoidapproval processing time

Core Design Contradiction:

Object-affected harmful factorsVSLoss of time

Solution Approach 1:

The patent implements preliminary approval mechanisms where collaborators pre-approve data access rights and notebook execution permissions before entering the clean room. This preliminary action reduces the need for real-time approvals during processing, as the system can automatically enforce pre-established permissions, thus maintaining security while reducing time loss during actual operations

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250181772A1Clean Room Generation for Data Collaboration and Executing Clean Room Task in Data Processing Pipeline

Publication Date: 2025.06.05 DATABRICKS INC

AI summary

A data processing service facilitates the creation and processing of data processing pipelines that process data processing jobs defined with respect to a set of tasks in a sequence and with data dependencies associated with each separate task such that the output from one task is used as input for a subsequent task. In various embodiments, the set of tasks include at least one cleanroom task that is executed in a cleanroom station and at least one non-cleanroom task executed in an execution environment of a user where each task is configured to read one or more input datasets and transform the one or more input datasets into one or more output datasets.