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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 to query a federated store containing disparate data types and stores, the system including a UI or API to specify query details, a metadata knowledge graph with metadata describing the contents of the data stores, the relationships among them, and how to programmatically query the data stores, a predefined constrainable query ('nodegroup') store containing nodegroups providing a template to search the data stores, the querying layer including services and libraries to process nodegroups and generate a set of queries, a query and analysis platform providing the set of queries to at least one data store for execution at the federated stores and return a result, a scalable analytic execution layer applying machine learning/artificial intelligence techniques to analyze the query results and presenting data analysis result visualizations. A method and a non-transitory medium are also disclosed.
机译:一种查询包含不同数据类型和存储的联合存储的系统,该系统包括用于指定查询详细信息的UI或API,具有描述数据存储的内容,它们之间的关系以及如何以编程方式进行查询的元数据的元数据知识图数据存储,预定义的可约束查询(“ nodegroup”)存储,其中包含提供用于搜索数据存储的模板的节点组,查询层包括用于处理节点组并生成查询集的服务和库,提供该集合的查询和分析平台对至少一个数据存储区查询以在联合存储区执行并返回结果,可扩展的分析执行层应用机器学习/人工智能技术来分析查询结果并呈现数据分析结果可视化。还公开了一种方法和非暂时性介质。

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