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Knowledge-driven federated big data query and analytics platform

机译:知识驱动的联邦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 the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query (‘nodegroup’) store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.
机译:用于查询联合数据存储的系统包括描述一个或多个底层数据存储中的内容和关系的元数据知识图,该内容和关系从数据使用者接收来自数据使用者的预定义的约束的查询('nodegroup')存储器的内容和来自数据消费者的请求,其中包含预定义的约束查询,用于在一个或多个底层数据存储库中定义感兴趣的数据子集,一个知识驱动的查询层生成和对联合数据存储和合并响应结果的查询,可伸缩的分析执行层接收来自联合数据的搜索结果存储和应用机器学习/人工智能技术来分析结果,以及向消费者呈现原始或分析结果的可视化的用户界面。还公开了一种方法和非暂时性计算机可读介质。

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