The Stanford Data Warehousing Project
Joachim Hammer, Héctor García-Molina, Jennifer Widom, Wilburt Juan Labio, Yue Zhuge · 1995
The goal of the data warehousing project at Stanford (the WHIPS project) is to develop algorithms and tools for the efficient collection and integration of information from heterogeneous and autonomous sources, including legacy sources. In this paper we give a brief overview of the WHIPS project, and we describe some of the research problems being addressed in the initial phase of the project. 1 Introduction A data warehouse is a repository of integrated information, available for querying and analysis [13, 14]. As relevant information becomes available or is modified, the information is extracted from its source, translated into a common model (e.g., the relational model), and integrated with existing data at the warehouse. At the warehouse, queries can be answered and data analysis can be performed quickly and efficiently since the information is directly available, with model and semantic differences already resolved. Furthermore, warehouse data can be accessed without tying up the...