A System Prototype for Warehouse View Maintenance

A data warehouse collects and integrates data from multiple, autonomous, heterogeneous, sources. The warehouse e ectively maintains one or more materialized views over the source data. In this paper we describe the architecture of the Whips prototype system, which collects, transforms, and integrates data for the warehouse. We show how the required functionality can be divided among cooperating distributed CORBA objects, providing both scalability and the exibility needed for supporting di erent application needs and heterogeneous sources. The Whips prototype is a functioning system implemented at Stanford University and we provide preliminary performance results.

• Type: Conference
• Year: 1996
• Where: VIEWS
• Authors: Janet L. Wiener, Himanshu Gupta, Wilburt Labio, Yue Zhuge, Hector Garcia-Molina, Jennifer Widom
• Keywords: Data Warehouse Collects, VIEWS 1996, Whips Prototype, Whips Prototype System