Data Gateway Abstraction Layers for Cross-Datastore Interoperability
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Solution Overview
Problem
Existing data management tools face challenges with interoperability across different datastores, leading to fragmentation and compatibility issues, and lack scalability and robust security measures, making them vulnerable to data breaches and compliance risks.
Innovation Solution
Implementing a data gateway with data abstraction layers that allow for seamless interaction between software applications and datastores, enabling flexible configuration and security measures without modifying existing codebases, and supporting multiple independent instances for fault tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If internal tools are designed to address particular use cases with custom scripts or tightly coupled software components, then the tools can be tailored to specific organizational needs, but the tools become fragmented and difficult to maintain compatibility across different datastore types
Solution Approach 1:
The patent introduces a data gateway as an intermediary layer between software applications and datastores. This gateway implements standardized data abstraction layers that mediate interactions, allowing applications to communicate with different datastores through a uniform interface without requiring custom scripts for each datastore type, thus reducing tool fragmentation while maintaining adaptability.
Solution Approach 2:
The data gateway provides universal data abstraction layers that can interface with multiple different datastore types through a single standardized API. This multi-functional approach allows the same gateway infrastructure to serve various organizational needs across different datastore technologies, eliminating the need for separate custom tools for each datastore.
2Ease of manufacture
If internal tools are built with rigid architectures, then the tools can be simpler to implement, but adding new features or updating tools to handle evolving data requirements requires substantial software development effort
Solution Approach 1:
The data gateway employs dynamic configuration capabilities where data abstraction layers can be dynamically instantiated and configured based on organizational needs. This allows the system to maintain simple core architecture while enabling flexible adaptation to evolving data requirements through dynamic parameter configuration rather than substantial code development.
Solution Approach 2:
The gateway architecture segments functionality into independent data abstraction layers that can be selectively instantiated and configured. This segmentation allows new features to be added by configuring existing modular components rather than rewriting the entire system, maintaining implementation simplicity while enabling functional scalability.
3Productivity
If internal tools do not incorporate robust security measures, then the tools can be simpler and faster to deploy, but the organization becomes vulnerable to data breaches or compliance issues when accessing sensitive data
Solution Approach 1:
The data gateway incorporates security measures such as access control lists and encryption protocols as preliminary configurations that are established before data access operations begin. These security frameworks are pre-configured in the gateway architecture, allowing rapid deployment while maintaining robust security protection against data breaches and compliance issues.
Data Source
AI summary
One embodiment sets forth a technique for implementing data abstraction layers via a data gateway. According to some embodiments, the technique can include the steps of receiving a request to generate a data abstraction layer instance, where the request includes a set of configuration parameters, identifying, based on the request, a data abstraction layer among a plurality of data abstraction layers implemented by the data gateway, performing at least one operation to generate the data abstraction layer instance based on the data abstraction layer and using the set of configuration parameters, and causing at least one additional request to be routed to the data abstraction layer instance for processing. Another embodiment sets forth a technique for performing data operations using data abstraction layer instances implemented by the data gateway.


