1. Semi-Structured Data Management in the Enterprise: A Nimble, High-Throughput, and Scalable Approach
- Author
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David A. Maluf, P.Q Tran, Naveen Ashish, Christopher D. Knight, and David G. Bell
- Subjects
Database ,computer.internet_protocol ,Computer science ,business.industry ,Data management ,computer.software_genre ,Enterprise data management ,Management system ,Scalability ,Benchmark (computing) ,Semi-structured data ,business ,Software engineering ,Throughput (business) ,computer ,XML - 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.
- Published
- 2006
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