Geographic Data Segregation in Distributed Databases
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Solution Overview
Problem
Enterprise database systems face challenges in complying with country-specific data privacy regulations due to the lack of geographical data storage support from underlying platforms, especially in distributed environments.
Innovation Solution
Implementing non-primary key-based range partitioning and data replication to store and retrieve data based on geographic locations, allowing administrators to define partitioning columns for geographic restrictions and ensuring data is stored and processed accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is distributed across multiple geographical locations to improve performance and reliability, then system scalability and fault tolerance are improved, but compliance with country-specific data privacy regulations becomes more difficult
Solution Approach 1:
The patent segments data storage by implementing geographical partitioning that divides the distributed database system into location-specific segments. Each segment stores only data permitted for that geographical region according to privacy regulations, thereby maintaining system distribution for performance while ensuring regulatory compliance through structured data segmentation.
Solution Approach 2:
The patent applies local quality by enabling different data storage policies and characteristics for different geographical locations. Each location receives customized data handling based on its specific regulatory requirements, allowing the system to optimize for local compliance while maintaining overall distributed architecture for performance and reliability.
2Reliability
If data is stored in specific geographical locations to comply with data privacy regulations, then regulatory compliance is improved, but data access and retrieval efficiency deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-establishing geographical partitioning structures and data routing rules before data access operations occur. The system pre-configures which data resides in which geographical location based on regulatory requirements, enabling efficient direct access to the correct location without requiring complex real-time decisions about data placement or retrieval.
Solution Approach 2:
The patent introduces an intermediary mechanism that manages geographical data routing and location resolution. This intermediary layer handles the complexity of translating data access requests into location-specific operations, shielding users from the underlying geographical distribution complexity while maintaining compliance-driven data placement.
3Reliability
If geographical partitioning is implemented to ensure data privacy compliance, then data security and regulatory adherence are improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent enables self-service by allowing the distributed database system to automatically manage its own geographical partitioning and data placement. The system autonomously handles the complexity of implementing compliance-driven data segregation without requiring external intervention, reducing the burden on users while ensuring regulatory adherence through built-in self-managing capabilities.
Data Source
AI summary
A system includes reception of a first query at a first host, determination, at the first host, that the first query is associated with a first table, the first table including geographically-restricted data and a partitioning column storing identifiers of geographic restrictions, determination, at the first host and based on the partitioning column of the first table and on the first query, a first partition of the first table and a storage location of the first partition, and execution of the first query at the first host in conjunction with the storage location of the first partition.