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Aspects of Data Cataloguing for Enterprise Data Platforms

机译:企业数据平台数据编目的各个方面

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As the adoption of enterprise Big Data platforms mature, the necessity to maintain systematic catalogue of data being processed and managed by these platforms becomes imperative. Enterprise data catalogues serve as centralized repositories of storing such metadata about data being handled by such platforms, enabling better data governance, security and control. Standardized approaches, methodologies and tools for data catalogues are being discussed and evolved. This paper introduces some key variables, attributes and indexes that need to be handled in such cataloguing solutions -- such as data contexts, data-system relationships, data quality, reliability, sensitivity and accessibility. The paper also discusses specific approaches on how each of these aspects can be adopted and applied to different enterprise contexts effectively.
机译:由于企业大数据平台的采用成熟,因此必须将这些平台处理和管理系统的系统目录的必要性成为必要的。企业数据目录用作存储有关这些平台处理的数据的这些元数据的集中存储库,可以实现更好的数据治理,安全性和控制。正在讨论和演化数据目录的标准化方法,方法和工具。本文介绍了需要在此类编目解决方案中处理的一些关键变量,属性和索引 - 例如数据上下文,数据系统关系,数据质量,可靠性,灵敏度和可访问性。本文还讨论了如何有效地采用和应用于各个企业背景中的每个方面的具体方法。

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