Enterprise Multiple-tier Distributed Data Processing Architecture (EMDDPA) for Enterprise Data Resource

Enterprises are full of all kinds of data. But they lack of high-level valid data resource. It is difficult to access the upstream sources of operational data, and is very complicated to collect all the needed information and to integrate and aggregate. This paper presents an Enterprise Multiple-tier Distributed Data Processing Architecture (EMDDPA) to support enterprise data resource shared and integrated. EMDDPA provides a logical layer mapping a unified logical data model to reconstruct data from independent to dependent resource. This paper introduces key technologies used in EMDDPA: Multipletier Distributed processing, MRTP (Multiple Resource Transfer Protocol), Current Data Gateway, ETLP (Extraction, Transformation and Loading Process), Multiple Language Environment and Reusable Component Base and so on. Otherwise, paper will illustrate NetCase. As EMDDPA implementation, NetCase is an integrated solution for multiple-tier distributed network businesses and information applications.