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Quality Based Data Integration for Enriching User Data Sources in Service Lakes

机译:基于质量的数据集成,用于丰富服务湖泊中的用户数据源

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Data lakes have recently emerged as an alternative solution to costly traditional data warehouse solutions. To exploit data lakes, however, there is a need for means that assist users in combining and integrating data stored within a data lake. In this paper, we position ourselves in the recurrent context where a user has a local dataset that is not sufficient for processing the queries that are of interest to him/her. We show how data lakes, or more specifically the service lakes, since we are focusing on data providing services, can be leveraged to answer user queries, taking into account the quality of the services and respecting the (time and monetary) budget set by the user.
机译:最近数据湖泊最近作为替代传统数据仓库解决方案的替代解决方案。然而,为了利用数据湖泊,需要帮助用户组合和集成存储在数据湖中的数据。在本文中,我们将自己定位在用户具有本地数据集的经常性上下文中,这些数据集不足以处理对他/她感兴趣的查询。我们展示了数据湖泊,或更具体地说,服务湖泊,因为我们专注于数据提供服务,可以利用来应对用户查询,考虑到服务质量和尊重(时间和货币)预算所设定的用户。

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