Semi-structured data management in the enterprise: a nimble, high-throughput, and scalable approach

D. Maluf, D. Bell, N. Ashish, C. Knight, P. Tran
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引用次数: 10

Abstract

In this paper we describe an approach and system for managing enterprise semi-structured data that is high-throughput, nimble, and scalable. We present the NETMARK system, which provides for a "schemaless" way of managing semi-structured documents. We describe in particular detail the unique underlying data storage approach and efficient query processing mechanisms given this storage system. We present an extensive benchmark evaluation of the NETMARK system and also compare it with related XML management systems. At the heart of the approach is the philosophy of a focus on most common data management requirements in the enterprise, and not burdening users and application developers with unnecessary complexity and formal schemas.
企业中的半结构化数据管理:一种灵活、高吞吐量和可扩展的方法
在本文中,我们描述了一种用于管理企业半结构化数据的方法和系统,该方法和系统具有高吞吐量、灵活性和可扩展性。我们提出了NETMARK系统,它提供了一种管理半结构化文档的“无模式”方式。我们特别详细地描述了该存储系统独特的底层数据存储方法和高效的查询处理机制。我们对NETMARK系统进行了广泛的基准评估,并将其与相关的XML管理系统进行了比较。该方法的核心理念是关注企业中最常见的数据管理需求,而不给用户和应用程序开发人员增加不必要的复杂性和正式模式的负担。
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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