BDgen: A Universal Big Data Generator

Tomás Faltín, Michal Hanzeli, Vojtech Sípek, Jan Skvaril, Dusan Varis, Irena Holubová Mlýnková
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Abstract

This paper introduces BDgen, a generator of Big Data targeting various types of users, implemented as a general and easily extensible framework. It is divided into a scalable backend designed to generate Big Data on clusters and a frontend for user-friendly definition of the structure of the required data, or its automatic inference from a sample data set. In the first release we have implemented generators of two commonly used formats (JSON and CSV) and the support for general grammars. We have also performed preliminary experimental comparisons confirming the advantages and competitiveness of the solution.
BDgen:通用大数据生成器
本文介绍了BDgen,一个针对各种类型用户的大数据生成器,作为一个通用且易于扩展的框架实现。它分为可扩展的后端,用于在集群上生成大数据,前端用于用户友好地定义所需数据的结构,或者从样本数据集自动推断。在第一个版本中,我们实现了两种常用格式(JSON和CSV)的生成器,并支持通用语法。我们还进行了初步的实验比较,证实了该解决方案的优势和竞争力。
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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