Query Recommendation Platform for Data Source Discovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Data analysts and administrators face challenges in navigating new data sources, leading to inefficiencies due to the need for extensive meetings, emails, and manual searches to access and understand data sources, especially in large organizations with multiple datasets and legacy systems.
Innovation Solution
A recommendation platform that stores and retrieves query records, providing users with recommendations on databases, data tables, fields, and users based on search parameters, allowing for filtered and ranked results to streamline the process of accessing and utilizing data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data analysts manually search for and familiarize themselves with new data sources through meetings, emails, and phone calls, then they can access and understand data sources, but the time and effort required increases substantially
Solution Approach 1:
The patent introduces a recommendation platform as an intermediary system between data analysts and data sources. This platform automatically queries metadata repositories, analyzes data source characteristics, and provides personalized recommendations to analysts, eliminating the need for manual exploration through meetings and communications while maintaining ease of access
Solution Approach 2:
The system performs preliminary actions by pre-querying and analyzing metadata about data sources before analysts need them. The recommendation platform proactively identifies suitable data sources based on analyst profiles and query patterns, preparing recommendations in advance so analysts can immediately access relevant data without time-consuming manual searches
2Reliability
If data administrators manually track data source changes and notify relevant personnel, then they can maintain data source integrity, but the process becomes inefficient when personnel change over time
Solution Approach 1:
The patent implements a feedback mechanism where the recommendation platform continuously monitors data source metadata, queries usage patterns, and personnel changes. The system automatically detects when data sources are down or when schema changes occur, and uses feedback loops to notify appropriate personnel through the platform, maintaining reliability while improving productivity through automation
Solution Approach 2:
The system enables self-service by automatically tracking data source status and changes without requiring manual intervention from administrators. The platform autonomously queries metadata repositories, detects schema changes, identifies affected users, and sends notifications, allowing the system to maintain itself and eliminating the inefficiency of manual tracking when personnel change
3Adaptability or versatility
If organizations maintain multiple data sets and legacy systems, then they can store and process diverse data, but data analysts spend excessive time trying to figure out how to operate on new data sources
Solution Approach 1:
The patent creates a universal recommendation platform that works across multiple data sets and legacy systems. The platform queries various metadata repositories, analyzes different data source types, and provides unified recommendations through a single interface, allowing analysts to access diverse data sources without needing to learn specific operational complexities of each system
Data Source
AI summary
In one example, a processor receives a structured query, parses the structured query into components, and stores the structured query, the components, and at least one attribute regarding the structured query in a first query record of a query record storage platform, the at least one attribute comprising a user identification of a user generating the structured query. The processor may then receive a search associated with the query record storage platform, where the search includes at least one parameter, and where the at least one parameter specifies at least one of the structured query, at least one of the components, or at least one of the at least one attribute regarding the structured query, and return the first query record in response to the search.