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关键词： Access数据库   数据库应用系统   报表设计   分组计算报表   图表报表  

摘要： Access数据库是目前开发小型数据库应用系统时常用的数据库,其中报表输出是数据库应用系统不可或缺的组成部分,以此实现灵活、个性化的数据打印输出功能。本文重点介绍了Access报表设计中的分组计算报表和图表报表的创建技巧及其关键技术,以对Access数据库应用系统开发者启发和帮助。

关键词： Oracle数据库   应用系统   性能优化  

摘要： 文章开篇点题,首先对Oracle数据库的含义进行了简明扼要的概括,然后又列举了Oracle数据库相对突出的几个特点,最后通过理论与实际相结合的方式,将内存调整和CPU利用作为切入点,针对"Oracle数据库应用系统的性能优化"展开了科学、系统的探讨,供相关人员参考。

关键词： 数据库系统  

ISBN: (纸本)9787568031066

摘要： 本书全面介绍数据库系统的基本概念、基本原理和基本应用。以基本原理、方法和技术为基础，结合实际案例进行分析设计，做到了理论和应用相结合。

关键词： 数据库系统  

ISBN: (纸本)9787111579373

摘要： 本书介绍了计算机中的信任概念和Intel TXT的基本原理，以及如何配置Intel TXT，建立启动控制策略及验证的功能等。最后介绍了Intel TXT在数据中心和云环境中的应用及可信计算的未来发展方向。

关键词： Bitemporal data   Interval-based event   Point-time event   Time-oriented data model   Time-varying data   Transaction time data   Valid-time data  

摘要： Attaching Date and Time to varying data plays a definite role in representing a dynamic domain and resources on the database systems. The conventional database stores current data and can only represent the knowledge in static sense. Time-varying data representations in relational framework are well described in literature. In this paper we propose an approach for modeling First Normal Form (1NF) and interval-based temporal database over conventional Database Management Systems (DBMS). We choose 1NF approach with interval-based temporal data model for the easily implementation in relational framework as well as to provide the proposed temporal data representation with the modeling and querying power of 1NF relational data model. Copyright © 2017 American Scientific Publishers All rights reserved.

关键词： Uniform data access   Relational database management systems   NoSQL database management systems   MongoDB   Data integration   JSON  

摘要： Integration of data stored in heterogeneous database systems is a very challenging task and it may hide several difficulties. As NoSQL databases are growing in popularity, integration of different NoSQL systems and interoperability of NoSQL systems with SQL databases become an increasingly important issue. In this paper, we propose a novel data integration methodology to query data individually from different relational and NoSQL database systems. The suggested solution does not support joins and aggregates across data sources;it only collects data from different separated database management systems according to the filtering options and migrates them. The proposed method is based on a metamodel approach and it covers the structural, semantic and syntactic heterogeneities of source systems. To introduce the applicability of the proposed methodology, we developed a web-based application, which convincingly confirms the usefulness of the novel method. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： 数据库系统  

ISBN: (纸本)9787561859063

摘要： 本书是作者在长期从事数据库课程教学和科研的基础上，为满足“数据库原理与应用”课程的教学需要而编写。本书以学习者的角度编写章节知识点，分别从数据库概述、数据模型与数据库系统结构、SQL语言基础及数据定义功能、数据操作语句、视图和索引、关系数据库理论、数据库设计、事务与并发控制、T-SQL编程基础、存储过程、触发器、数据库安全管理、数据库备份和恢复等内容进行讲述。

关键词： Electrical Engineering and Computer Science.  

摘要： Distributed on-line transaction processing (OLTP) database management systems (DBMSs) are a critical part of the operation of large enterprises. These systems often serve time-varying workloads due to daily, weekly or seasonal fluctuations in load, or because of rapid growth in demand due to a company's business success. In addition, many OLTP workloads are heavily skewed to "hot" tuples or ranges of tuples. For example, the majority of NYSE volume involves only 40 stocks. To manage such fluctuations, many companies currently provision database servers for peak demand. This approach is wasteful and not resilient to extreme skew or large workload spikes. To be both efficient and resilient, a distributed OLTP DBMS must be elastic; that is, it must be able to expand and contract its cluster of servers as demand fluctuates, and dynamically balance load as hot tuples vary over time. This thesis presents two elastic OLTP DBMSs, called E-Store and P-Store, which demonstrate the benefits of elasticity for distributed OLTP DBMSs on different types of workloads. E-Store automatically scales the database cluster in response to demand spikes, periodic events, and gradual changes in an application's workload, but it is particularly well-suited for managing hot spots. In contrast to traditional single-tier hash and range par- titioning strategies, E-Store manages hot spots through a two-tier data placement strategy: cold data is distributed in large chunks, while smaller ranges of hot tuples are assigned ex- plicitly to individual nodes. P-Store is an elastic OLTP DBMS that is designed for a subset of OLTP applications in which load varies predictably. For these applications, P-Store per- forms better than reactive systems like E-Store, because P-Store uses predictive modeling to reconfigure the system in advance of predicted load changes. The experimental evaluation shows the efficacy of the two systems under variations in load across a cluster of machines. Compared to single-ti

关键词： 数据库系统设计   教学实施   改革建议  

摘要： 依据玉林师范学院电子商务专业数据库系统设计课程的教学背景,介绍教学实施过程,分析存在的问题并提出改革的建议,以期取得更好的教学效果,培养更优秀的应用型技术人才。

关键词： 能耗研究   切削/磨削比能   经验模型   数据库系统  

摘要： 以现有机床加工能耗研究为基础,根据材料去除功率与机床空载功率、加工功率的经验关系式,建立切削/磨削比能的经验计算模型,并通过以切削力/磨削力为基础的切削/磨削比能理论模型及其实验,验证该经验计算模型的可行性和正确性。基于此经验计算模型的切削/磨削比能的测量值和计算值,设计研发典型机床关键零部件切削/磨削比能数据库系统,包括基本架构、基础数据库和切削/磨削比能分析模块,使其系统化和规范化。用户可在软件操作界面迅速地实现所需数据的增、删、改、查等功能。