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关键词： Teradata   平台性能   数据仓库   数据容量   第5代   商业智能   营销管理   数据分析  

摘要： 专注于数据仓库、大数据分析和整合营销管理解决方案的厂商Teradata天睿公司日前宣布针对客户对各种商业智能的需求，设计推出第5代数据仓库专用平台产品——Temdata数据仓库专用平台2690。这是一个完全整合的系统．相对于上一代平台产品，突破性地实现了2倍性能和3倍数据容量，将于2012年第一季度上市。

关键词： 医院信息系统   数据仓库   联机分析处理   多维分析  

摘要： 介绍医院信息系统(Hospital information system,HIS)的概念及应用中存在的问题,简要阐述数据仓库和联机分析处理技术的涵义,将数据仓库和多维分析技术引入HIS管理中,具体设计HIS数据仓库的框架与模型。

关键词： 环境   信息   数据仓库  

摘要： 我国从1973年开始了环境保护工作,取得了显著的成绩,环境信息的研究也得到了充分的发展。文章结合作者自身实践经验对省级的环境信息中心数据仓库的构建与应用做了简要的探讨。

关键词： 经营分析系统   数据仓库   模型构建   OLAP   ETL  

摘要： 连锁超市在信息化建设的过程中,随着超市规模的扩大和数据的积累,超市数据仓库的建设已经尤为重要。本文根据连锁超市的现状和特点,设计并实现了针对超市管理的数据仓库,利用OLAP技术实现对数据的分析。在构建数据仓库过程中,重点研究了数据接口实现,数据模型构建,ETL分析等方面的内容。本系统在某超市的实际应用中,取得了良好的效果。

关键词： 数据仓库   骨质疏松   在线分析  

摘要： 虽然针对糖尿病、高血压病等疾病已经有多项健康教育模式的建立和研究,但是,针对农村原发性骨质疏松症(Osteo poros,OP)的预防这个重大社会问题,社区-综合医院互动管理模型的建立还在尝试阶段。OP是一个具有明确的病理生理、社会心理和经济后果的健康问题。我们将数据仓库的基本原理和方法与骨质疏松社区干预相结合,面向社区内骨质疏松高危人群构建了专门的数据仓库。以数据仓库运行为核心探索社区-综合医院互动管理模型的实现,同时对数据进行在线分析OLAP(on-Line analysis processing),实现单一维度分析和多个维度的组合分析功能,通过在实践中的数据积累可以为下一步开展有针对性的社区健康干预做准备。

关键词： 数据仓库   大规模考试   数据挖掘   教育考试  

摘要： 探究基于数据仓库技术的大规模教育考试学生信息管理决策系统的设计、实现及分析结果图表的生成,并以上海市某年中考考试数据为基础,在开源软件的基础上定制开发出对异构数据源进行抽取、清洗、转换和装载的自动化工具,将各种考试信息数据源集成为大规模教育考试学生信息数据仓库。

关键词： RFID   数据仓库   内存数据库   智能超市  

摘要： 本文通过分析超市环境RFID数据管理的特点,提出了在线数据处理与离线数据存储相结合的数据仓库模型,实现智能超市中的RFID数据管理。使用内存数据库管理物品的最新信息,使频繁的状态更新在内存中完成,提高了实时查询的速度。利用磁盘数据库的大容量存储历史数据,支持对离线数据的查询。

关键词： On-line scheduling   Data warehouse maintenance   Competitive analysis  

摘要： We study scheduling algorithms for loading data feeds into real time data warehouses, which are used in applications such as IP network monitoring, online financial trading, and credit card fraud detection. In these applications, the warehouse collects a large number of streaming data feeds that are generated by external sources and arrive asynchronously. Data for each table in the warehouse are generated at a constant rate, different tables possibly at different rates. For each data feed, the arrival of new data triggers an update that seeks to append the new data to the corresponding table; if multiple updates are pending for the same table, they are batched together before being loaded. At time tau, if a table has been updated with information up to time ra parts per thousand currency sign tau, its staleness is defined as tau-r. Our first objective is to schedule the updates on one or more processors in a way that minimizes the total staleness. In order to ensure fairness, our second objective is to limit the maximum "stretch", which we define (roughly) as the ratio between the duration of time an update waits till it is finished being processed, and the length of the update. In contrast to earlier work proving the nonexistence of constant-competitive algorithms for related scheduling problems, we prove that any online nonpreemptive algorithm, no processor of which is ever voluntarily idle, incurs a staleness at most a constant factor larger than an obvious lower bound on total staleness (provided that the processors are sufficiently fast). We give a constant-stretch algorithm, provided that the processors are sufficiently fast, for the quasiperiodic model, in which tables can be clustered into a few groups such that the update frequencies within each group vary by at most a constant factor. Finally, we show that our constant-stretch algorithm is also constant-competitive (subject to the same proviso on processor speed) in the quasiperiodic model with respect to

关键词： Testing   Business intelligence   Data warehouse   Software engineering  

摘要： Context: Testing is an essential part of the development life-cycle of any software product. While most phases of data warehouse design have received considerable attention in the literature, not much has been written about data warehouse testing. Objective: In this paper we propose a comprehensive approach to testing data warehouse systems. Its main features are earliness with respect to the life-cycle, modularity, tight coupling with design, scalability, and measurability through proper metrics. Method: We introduce a number of specific testing activities, we classify them in terms of what is tested and how it is tested, and we show how they can be framed within a prototype-based methodology. We apply our approach to a real case study for a large retail company. Results: The case study we faced, based on an iterative prototype-based medium-size project, confirmed the validity of our approach. In particular, the main benefits were obtained in terms of project transparency, coordination of the development team, and organization of design activities. Conclusion: Though some general-purpose testing techniques can be applied to data warehouse projects, the effectiveness of testing can be largely improved by applying specifically-devised techniques and metrics. (C) 2011 Elsevier B.V. All rights reserved.

关键词： 数据仓库   数据中心   油田矿区  

摘要： 大庆油田矿区应用系统存在着技术多样性与开发的独立性,导致各个系统之间的数据共享比较困难,难以支持企业层面的集中统一数据管理。该文构建基于数据仓库的大庆油田矿区数据中心,阐述了集成的数据交换和共享平台的实现方法,使分散的、松藕合的分布式应用实现有机的集成。