Generic Data Services for the Management of Large-scale Data Applications

摘要

A new metadata-driven concept of generic data management services for a wide range of applications for processing large-scale data of arbitrary structure is introduced. The novelty of the approach is a metadata structure that subdivides them into three basic metadata types according to their functionality: for the description of the structure and type of data, for the specification of key values for data identification, and for security and organizational purposes. A first implementation of core features and the feasibility of the concept is demonstrated by managing the data storage for an application, which measures and analyses voltage data from electrical power grids. Since electrical measurement data needs privacy protection, our proposal to address this requirement is outlined.