Web Access Manager for Multi-Database Resource Allocation
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Solution Overview
Problem
Current database management systems face challenges in efficiently managing and accessing diverse data resources across disparate database systems, limiting scalability and flexibility in enterprise resource allocation and decision-making processes.
Innovation Solution
The Automated Data Extractor-Based Web Access Manager (ADE-WAM) system enables efficient monitoring, regulation, and allocation of resources by accessing universal variables linked to tables across multiple database systems, facilitating data accessibility, report generation, and data distribution through a hierarchical schema, and providing economical interface features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional database management systems are used to access data across multiple disparate database systems, then data accessibility is limited, but system complexity and scalability requirements increase
Solution Approach 1:
The patent introduces a web access manager as an intermediary layer between users and multiple disparate database systems. This manager provides a unified interface that abstracts the complexity of accessing different database types (flat model, hierarchical, relational) behind a consistent web-based access mechanism, thereby improving data accessibility without requiring users to directly manage the underlying system complexity
Solution Approach 2:
The web access manager implements universal variables and a hierarchical schema that can access and represent data from multiple different database systems through a common interface. This universal approach allows the same system to handle diverse data types and structures without requiring separate access methods for each database type, enhancing versatility while maintaining consistent access patterns
2Productivity
If manual data management and reconciliation processes are used, then operational flexibility is maintained, but productivity and efficiency decrease
Solution Approach 1:
The system enables automated data extraction, transformation, and loading processes that operate without manual intervention. The web access manager automatically manages data retrieval from multiple databases, performs necessary transformations using universal variables, and distributes updated data across the enterprise, replacing manual reconciliation processes with self-executing automated workflows
Solution Approach 2:
The patent implements scheduled and triggered data distribution mechanisms that automatically execute data extraction and distribution tasks at predetermined intervals or upon specific events. This preliminary automation of data management tasks eliminates the need for manual reconciliation and ensures data freshness without requiring ongoing manual effort
3Reliability
If centralized data access control is implemented, then data security and regulation are improved, but ease of operation and data accessibility may be reduced
Solution Approach 1:
The web access manager serves as a security intermediary that centralizes access control while maintaining ease of operation. It implements authentication and authorization mechanisms that regulate data access without requiring users to directly manage security protocols. The manager handles security checks transparently, allowing users to access data through simple web interfaces while centralized security policies are enforced behind the scenes
Data Source
AI summary
The APPARATUSES, METHODS AND SYSTEMS FOR A WEB ACCESS MANAGER implement efficient and scalable monitoring, regulation, and allocation of communications resources within an enterprise. In one embodiment, a web access management processor-implemented method is disclosed, comprising: obtaining a request for network resource access; extracting from the network resource access request a request attribute; querying a database using the extracted request attribute; obtaining a network access rule to apply to the network resource access request, based on querying the database; applying the network access rule to the network resource access request; and determining via a processor whether the network resource access is permitted based on applying the network access rule to the network resource access request; determining that the network resource access is permitted, based on applying the network access rule to the network resource access request; and forwarding the request for processing the network resource access request.