“Set of Strings” Framework for Big Data Modeling

I. Sheremet
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Abstract

The most complicated task for big data modeling in comparison with relational approach is its variety, being a consequence of heterogeneity of sources of data, accumulated in the integrated storage space. “Set of Strings” Framework (SSF) provides unified solution of this task by representation of database as updated finite set of facts, being strings, in which structure is defined by current metadatabase, which is also an updated set of the context-free generating rules. This chapter is dedicated to SSF formal and substantial description.
“Set of Strings”大数据建模框架
与关系方法相比,大数据建模最复杂的任务是其多样性,这是数据源异构的结果,积累在集成存储空间中。“字符串集”框架(SSF)通过将数据库表示为更新的有限事实集(字符串)提供了此任务的统一解决方案,其中的结构由当前元数据库定义,该元数据库也是更新的与上下文无关的生成规则集。本章专门对SSF进行正式和实质性的描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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