tinywinzip-CSDN博客

原创浅谈SOAP

浅谈SOAP 内容：一：为什么需要SOAP？二：什么是SOAP？三：SOAP与CORBA，COM/DCOM的区别？四：SOAP=RPC+HTTP+XML五．SOAP 的前景参考资料作者介绍

2001-08-20 12:57:00 1087

原创用asp生成PDF文件

Creating a PDF with ASPBy Ty Button print this article email this article to a colleague IntroductionAdobes PDF format has become the lingua franca of cross-platform reporting for many agencies

2001-08-17 13:32:00 1924 1

原创用java、msxml将xml转换成html

Converting XML to HTML Using Suns Java API for XML Processing and Microsofts MSXML 3.0 APIBy Robert Galante Printer Friendly Version -->IntroductionThis article describes two sol

2001-08-17 13:27:00 1518

原创 XML和数据库

XML和数据库(2001-6-12)作者：Ronald 摘要：本论文简要的探讨了XML和数据库之间的关系，同时列出一些可以使用数据库处理XML文档的软件。虽然这里不打算详尽地介绍这些软件，但是笔者希望它能够描述使用数据库处理XML文档中的主要部分。内容：目录1.0 简介2.0 XML是数据库吗?3.0 为什么使用数据库?4.0 数据和文档的对比

2001-08-15 12:20:00 1161

原创将SAX加入我们的ASP应用中(2)

将SAX加入我们的ASP应用中(2) [ 作者: hydnoahark 添加时间: 2001-7-25 20:10:21 ] strqname as string) strxml = strxml & "" end subprivate sub ivbsaxcontenthandler_characters(text as string) text =

2001-08-13 13:43:00 617

原创将SAX加入我们的ASP应用中(1)

将SAX加入我们的ASP应用中(1) [ 作者: hydnoahark 添加时间: 2001-7-25 20:10:21 ] 在处理大型的xml文档的时候，在服务器端直接使用xml dom的时候速度是比较慢的，当我第一次接触到sax的时候，我意识到我们应该在服务器端将dom和sax结合起来以提高我们程序的效率。我们在asp中最常使用的就是使用com来完成这个工作（也许你有更好的方法

2001-08-13 13:41:00 599

原创用ASP+XML打造留言本

用ASP+XML打造留言本来源：www.yesky.com　　一、读者指引　　读者指引帮助你掌握本文的梗概。以免你看了大半才明白这编文章不适合你，给你造成视觉污染。　　如果你正在用ASP+XML写一些程序，或者你正在学XML那就值得一看。　　阅读本文须具备的知识，对ASP有基本的了解，对XML和DOM有基本了解，如果你不了解那么你通过学习本文基本上能够撑握ASP＋XML和DOM

2001-08-08 11:50:00 1105

原创 ADO和ADO.NET的比较

ADO和ADO.NET的比较FeatureADOADO.NETMemory-resident data representationUses the RecordSet object, which looks like a single table.Uses the DataSet object, which can contain one or m

2001-07-27 12:33:00 764

The book opens with an overview of the Spark ecosystem. The book will introduce you to Project Catalyst and Tungsten. You will understand how Memory Management and Binary Processing, Cache-aware Computation, and Code Generation are used to speed things up dramatically. The book goes on to show how to incorporate H20 and Deeplearning4j for machine learning and Juypter Notebooks, Zeppelin, Docker and Kubernetes for cloud-based Spark. During the course of the book, you will also learn about the latest enhancements in Apache Spark 2.2, such as using the DataFrame and Dataset APIs exclusively, building advanced, fully automated Machine Learning pipelines with SparkML and perform graph analysis using the new GraphFrames API.

2018-07-20

Handbook of Research on Big Data Storage and Visualization Techniques

The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.