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- KNOWLEDGE-DRIVEN FEDERATED BIG DATA QUERY AND ANALYTICS PLATFORM

机译:-知识驱动的联合大数据查询和分析平台

摘要

A system for querying a federated data store includes a metadata knowledge graph describing content and relationships between one or more underlying data stores, an interactive user interface for receiving requests from data consumers, and an underlying data store. A predefined constrainable query (''nodegroup'') store containing predefined constrainable queries that define a subset of the data of interest across one or more, as well as create and run queries against the federated data store and return the response results. A knowledge-driven query layer that merges, a scalable analytics execution layer that receives search results from a federated data store and analyzes the results by applying machine learning/artificial capabilities technology, and a user presenting visualizations of raw or analyzed results to consumers. Includes an interface. Methods and non-transitory computer-readable media are also disclosed.
机译:一种用于查询联合数据存储的系统,包括描述一个或多个基础数据存储之间的内容和关系的元数据知识图,用于接收来自数据消费者的请求的交互式用户界面以及基础数据存储。一种预定义的可约束查询(“节点组”)存储,其中包含预定义的可约束查询,这些预定义的可约束查询定义了一个或多个目标数据的子集,并针对联合数据存储创建并运行查询并返回响应结果。知识驱动的查询层进行合并,可伸缩的分析执行层从联邦数据存储接收搜索结果,并通过应用机器学习/人工功能技术来分析结果,并且用户向消费者展示原始或分析结果的可视化。包括一个接口。还公开了方法和非暂时性计算机可读介质。

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