VLDWH研讨会主席的讲话

P. Brezany, A. Hameurlain, Robert M. Bruckner, Philipp Tomsich
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引用次数: 0

摘要

在过去的几年里,数据仓库、数据挖掘和分析在线处理的出现形成了一种新的模式,用于在商业环境中存储和分析数据,并越来越多地用于科学环境。随着这些技术在各种各样的应用程序中的使用,对能够在数据仓库环境中处理数tb数据的高度可伸缩和快速数据管理工具的需求变得明显起来。此外,互联网和网格计算的发展导致分布式、并行计算平台的重新出现,并导致以分散方式执行计算任务的趋势,从而有效地利用多个地理位置的资源。所有这些都导致了对超大型数据仓库实施和管理的研究出现,现在包括用于模拟和预测的零延迟数据仓库、用于医疗应用的分布式数据仓库和数据挖掘,以及用于高能物理和作为开发web内容可搜索档案的基础的web仓库等领域。O
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Message from the VLDWH Workshop Chair
ver the last few years data warehousing, data mining and analytical online processing emerged to form a new paradigm for the storage and analysis of data in business environments and increasingly in scientific environments. With the use of these technologies in a wide variety of application, the necessity for highly scalable and fast data management tools capable of handling multiple terabytes of data in a data warehousing environment became apparent. Additionally, the growth of the Internet and Grid computing lead to the re-emergence of distributed, parallel computing platforms and to a trend to perform computing task in a decentralized manner, efficiently utilizing resources in multiple geographic locations. All this led to the emergence of research on the implementation and management of very large data warehouses and now includes such areas as zero-latency data warehousing for simulation and forecasting, distributed data warehouses and data mining for medical applications as well as for high energy physics and web warehousing as a foundation for the development of searchable archives of web content. O
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