laUD-MS: An Extensible System for Unstructured Data Management

The challenge of managing intensive unstructured data provides a good opportunity for both academy and industry in data management area. In this paper, we analyze the five basic requirements in constructing a data management system for unstructured data. We then introduce our tentative implementation of an unstructured data management system developed according to the requirements. A dedicated performance test framework is proposed in conjunction, and preliminary experiments demonstrate the key traits of our system. We discuss about our position adopted in our implementation. We claim that simple user and programming interface, data centric approach, customizable data consistency, extensible architecture, real-time and batch processing integration are very important properties of unstructured data management systems that satisfy the five basic requirements.