Hybrid Data Governance for Local and Cloud Storage
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Solution Overview
Problem
Existing data governance solutions for cloud-based systems face challenges in providing comprehensive data governance for both local and cloud-based data sources, leading to security concerns and increased costs due to the need for separate applications and interfacing.
Innovation Solution
A cloud-based data governance system that provides data governance services via Software as a Service (SaaS), enabling connection with remote data storage systems over a wide-area network to capture events, process them against governance policies, and execute remediation actions, while also supporting local data storage systems through event collection and enforcement modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If on-premises data governance is deployed at each local site to govern remote cloud data, then data governance coverage is provided, but security concerns arise and the amount of processable data is limited by local network properties
Solution Approach 1:
The patent introduces a cloud-based data governance system as an intermediary between local data sources and remote cloud storage. This central化的 governance system processes events from multiple local sites through a cloud-based event processing platform, eliminating the need for each local site to independently govern remote data while maintaining security through centralized control and authentication mechanisms.
2Adaptability or versatility
If separate data governance applications are deployed on both cloud and on-premises, then both cloud and local data sources can be governed, but cost increases and interfacing complexity is introduced
Solution Approach 1:
The patent implements a universal cloud-based data governance system that can govern multiple types of data sources (local and cloud-based) through a single platform. The system uses standardized event collection services and common processing logic that works across different data source types, eliminating the need for separate specialized applications for cloud and on-premises data while reducing overall system complexity.
Data Source
AI summary
A cloud-based data governance system includes a processing unit, a network adapter, and memory for storing data and code. The network adapter establishes a connection with a remote data storage system associated with a remote file system over a wide-area network (WAN). The code includes and event collection interface, a data governance service, and an enforcement service. The event collection interface is configured to capture an event from the remote data storage system. The event is indicative of a file system operation executed on a data object of the remote file system. The data governance service is configured to receive the event from the event collection interface and to process the event to determine whether the file system operation conflicts with a governance policy of the data governance system. The enforcement service executes a set of remediation actions, if the file system operation does conflict with the governance policy.