Compressed packet contains the java source, the corresponding database file, and a documentation.

Modify the Program Database File Name property.

修改“程序数据库文件名”属性.

First all, the additional database the database file the SQL folder.

首先将数据库附加上,数据库文件在SQL文件夹下.

Database of old version upgradation , and some popular clip-softs database file conversion.

旧版数据库升级转换,可考虑兼容部分流行剪贴板软件的数据库转换.

The referenced error log will be the sprestore. log file in the backup shared folder.

参照的错误记录会是备份共用资料夹中的sprestore. log档案.

More information of this error may be available in the server error log.

想获得更多关于此错误的信息,您可以到服务器错误日志中查询.

More information about this error may be available in the server error log.

你可以在服务器错误日志里查看更多的信息.

See error log for more details.

查看日志报什么错.

Use the transaction is rolled back, and record the error log.

使用了事务回滚, 以及记录错误日志.

Example for the String Equality operator.

下面的代码示例演示相等运算符.

In this paper, we design a data warehouse system structure aiming to mining enterprise.

本文针对矿山企业设计了数据仓库的技术体系结构.

So number of electron data of telecommunication enterprise build data warehouse establishing the technological foundation.

因此,电信企业的大量的电子化数据为其建设数据仓库奠定了技术基础.

Data warehouse is a new technology in information field which develops rapidly in recent years.

数据仓库是近年来信息领域中迅速兴起的一种技术.

Data Warehouse and online analytical process ( OLAP ) are new technology in information technology.

数据仓库和联机分析处理 ( OLAP ) 技术是信息技术领域的新兴技术.

The paper focuses on the design and implementation of Data warehouse about real estate market information.

本文以政府房管部门房地产市场信息数据仓库的设计与实现为研究课题.

Chapter 2 introduces the method and procedure of design and realization data warehouse.

第2章论述和分析了数据仓库设计与实现的方法和步骤.

Besides to the bank data warehouse item implementation process also elaborated with the implementation means.

另外对银行数据仓库项目的实施过程和实施方法也进行了阐述.

The technology of decision support includes Data Warehouse, OLAP On Line Analytical Processing and Data Mining.

决策支持技术主要包括数据仓库 、 OLAP( 联机分析处理)、数据挖掘三项.

Now the assistance decision support system mainly established with the data warehouse technology.

现在建立辅助决策支持系统主要是采用数据仓库技术.

The last part draws a conclusion and suggests further discussion on the data warehouse on web.

最后一章是对本文的总结并提出了对基于web方式的数据仓库需要进一步讨论的问题.

This paper brings forward data warehouse ( DW ) according to technique development and business requirement.

本文从技术发展和商业需求两个方面,提出数据仓库出现的历史必然.