Web Services

当前话题为您枚举了最新的 Web Services。在这里,您可以轻松访问广泛的教程、示例代码和实用工具,帮助您有效地学习和应用这些核心编程技术。查看页面下方的资源列表,快速下载您需要的资料。我们的资源覆盖从基础到高级的各种主题,无论您是初学者还是有经验的开发者,都能找到有价值的信息。

ANDAS A Web Application for Dataset Sorting and Data Mining Services with tf-idf
ANDAS is a Java-based web application that provides a convenient way for users to process and analyze their datasets, particularly through sorting and data mining techniques. In this system, tf-idf (term frequency-inverse document frequency) is a crucial algorithm used to measure the importance of specific words in documents. The development language of ANDAS, Java, is renowned for its cross-platform capability and robust library support. Its strong typing ensures code stability and security, enabling ANDAS to deliver reliable services. JavaServer Faces (JSF) in the Java EE ecosystem provides UI component framework for building dynamic, interactive web applications in a declarative manner, enhancing ANDAS's user interface for intuitive data handling and display. XML (eXtensible Markup Language) is employed in ANDAS for data exchange and storage, organizing data in a structured format that facilitates parsing and sharing from diverse sources. JBoss, an open-source Java EE application server, chosen for its stability and scalability, supports ANDAS for web application runtime. Enterprise JavaBeans (EJB), integral to Java EE, empowers ANDAS with services like transaction management, security, and persistence, handling complex data operations and concurrency issues. H2, a lightweight relational database management system, likely used as backend storage in ANDAS, ensures efficient performance and easy integration for small-scale web applications. AJAX (Asynchronous JavaScript and XML) facilitates interactive web app features in ANDAS, enabling asynchronous data loading and user interaction enhancements such as real-time feedback during data filtering or sorting. ANDAS integrates Java, JSF, XML, JBoss, EJB, H2, and AJAX technologies to efficiently and stably handle user datasets, utilizing algorithms like tf-idf to reveal data insights.
基于Web Services的分布式聚类算法设计与研究
在分布式数据挖掘领域,基于Web Services的分布式聚类算法设计与研究正成为重要的研究方向。由谢金辉和康利娟共同探讨了如何利用分布式数据和计算资源进行聚类分析,强调了Web Services在解决大规模数据处理问题中的作用。
Reporting Services 专家指南
SQL Server Reporting Services 专家级教程,手把手指导您掌握 Reporting Services。
SQL Server 2005 Analysis Services
SQL Server 2005 Analysis Services 是一款用于构建和部署在线分析处理 (OLAP) 解决方案和数据挖掘应用程序的工具。它提供了一个平台,可以对来自各种数据源的数据进行分析,并以多维数据集的形式呈现结果,供用户进行交互式探索和分析。
AdventureWorks 2008 Analysis Services Project
《SQL Server 2008报表服务从入门到精通》是一本帮助读者深入理解和熟练掌握SQL Server 2008报表服务的专著。在这个项目中,我们将探索与数据分析、数据仓库和商业智能相关的关键技术。AdventureWorks是一个广泛应用于SQL Server教学和实践的示例数据库。重点是利用Analysis Services构建数据立方体,支持多维数据模型设计和MDX查询语言应用。报表服务(SSRS)与Analysis Services集成,用于创建交互式、定制化的业务报表,涵盖销售分析、客户行为、产品性能等多个方面。数据挖掘技术也在项目中应用,以发现数据中的模式和趋势。
SQL Server Integration Services Overview
SQL Server Integration Services (SSIS) is a platform for building enterprise-level data integration and workflow solutions. It features graphical tools and wizards for quickly building and debugging packages to automate workflows. SSIS facilitates data migration, data cleansing, and ETL (extract, transform, load) operations across a wide range of data sources. Its extensible architecture supports integration with various applications and services, making it a versatile tool for managing and processing data efficiently in organizations.
SQL Server Reporting Services 2008 精粹
深入剖析 SQL Server Reporting Services 2008 的方方面面,涵盖报表设计、部署、自动化和自定义。
示例Reporting Services报表开发实例
介绍了如何开发Reporting Services报表,包括基本概念和实际操作步骤。
SQL Server 2005 Analysis Services详解
SQL Server 2005 Analysis Services是一项重要的数据分析工具,它提供了强大的多维数据分析和数据挖掘功能。通过使用SQL Server 2005 Analysis Services,用户可以轻松创建和管理多维数据模型,并进行复杂的数据分析操作。
Microsoft SQL Server Reporting Services详解
Microsoft SQL Server Reporting Services详解 #### 4.基础报表设计 在深入研究报表数据来源设置后,我们将详细介绍Microsoft SQL Server Reporting Services提供的基础报表对象设置功能。与传统的网页报表开发不同,Reporting Services通过直观的用户界面提供了丰富的报表组件和属性设置,使得创建报表变得更加简便高效。 4.1报表基本结构与设定 所有基于Microsoft商业智能(BI)的设计均采用Business Intelligence Development Studio作为开发环境,Reporting Services也不例外。BI Development Studio中央空白区域是报表的设计区域。整个设计区域的基础结构可以分为三个主要部分:“页首(Page Header)”、“页尾(Page Footer)”和“主体(Body)”。 页首和页尾:默认情况下,设计界面仅显示主体区域。如果需要添加页首或页尾,可以在主体外侧空白处右击鼠标并勾选相应的选项来开启这些区域。页首和页尾主要用于放置整份报表共通的信息,比如页码、制表日期、审核单位等。需要注意的是,页首页尾内不允许放置数据表、矩阵、列表等数据展示对象;而全局变量(如页码)仅限于页首页尾使用。 主体:主体区域用于展示具体的报表数据和内容,包括数据表、矩阵、列表等数据展示对象,以及修饰报表结构的文字框、线条、矩形、图像等。 4.2报表属性设置 了解了报表设计的基本结构后,接下来可以设置报表属性。有两种方法可以进行设置: 从“属性”窗口的下拉菜单中选择“报表”,即可修改报表的基本设置,如图4.2所示。 或者在“布局”标签页中,点击左上方纵向与横向标尺交汇处的小正方形图标,然后右键进入“报表属性”对话框。实际上,这两种方法设置的内容是一样的,只是第二种方法更易于视觉化操作。 表4.1展示了“报表属性”窗口中常用的一些属性设置: |属性|设定说明||--------------------|| Author | 报表作者。 || AutoRefr | ...