Supporting Large Scale Scientific and Engineering Applications Using DBMS Technology Jose Blakeley, Partner Architect, Database Systems Group Microsoft Corporation . Large-scale scientific and engineering applications are pushing the scale boundaries of data management systems. They require managing large volumes of data, new data organization and partitioning paradigm, moving analysis close to the data, integrating the tools, languages and packages of scientists with the data management system, more productive visualization and rapid development languages and tools, bridging and, when possible, eliminating the semantic gap between scientific applications and their data. Many of these applications have traditionally been built on top of file systems, using proprietary data models, multithreading, resource management, etc making them brittle and hard to share solutions. We propose a data management approach centered on database technology. We show various case studies of large-scale scientific and engineering applications in astronomy, climate research, predictive medicine, and high-throughput genomics whose requirements and project objectives are being successfully met using database technology. We propose a data platform architecture on which all science and engineering applications can be built and how the sample cases studies are being built on this architecture as evidence of its practicality. We hope this di= scussion will broaden the dialog among the database and various science communities about their requirements and data management capabilities required by their applications. We also expect to steer the interest of database researchers toward the data management challenges of science and engineering applications.