The development of data exchanging.
数据交换功能开发。
Software Development of Data Store Format Based on XML;
要在这个磁盘分区上储存数据，您必须先将其格式化。
Carry on work in software development of data regression and engineering computation category.
承接数据回归类和工程计算类软件的编制。
Data storage and retrieval is an essential aspect of application development.
数据存储和检索是应用程序开发的重要方面。
The development process started with decoupling of business process and data from enabling IT.
开发过程将首先从支持 IT 系统中分离业务流程和数据。
The design of data structure is an important problem for MIS development.
数据结构的设计是MIS开发中的重要问题。
The development of geostress profile has opened a new field for log data application.
地应力剖面的研制为测井资料开辟了新的应用领域。
Data transfer is common in the development of management information system and database system.
数据迁移是管理信息系统和数据库系统开发中常遇到的问题。
The data processing part of back end, can use aleatoric means and language development.
后端的数据处理部分，可以用任意的方式和语言开发。
With the rapid development of computer networks, network data security problem becomes more serious.
随着计算机网络的飞速发展，网络数据传输的安全问题也变的日趋严重。
Disposal of time data is very important among all kind of application software. Different software development environment has different disposal mode to this type data.
在各种应用软件中，时间型数据的处理特别重要，不同的软件开发环境对该类数据的处理方式并不相同。
This makes the stored form of data irrelevant to application design and development.
这使得数据的存储形式与应用程序设计和开发变得不相关。
Finally, it has a detailed presentation of network data communication development process.
最后，详细陈述了网络数据通信的开发过程。
The construction of data base system is the important part of system development.
数据库系统的建设是系统开发的重要组成部分。
Finally, the use of these results to interpret data and guide development is described.
最后，将阐述如何用这些结果来解释有关数据和指导研究工作。
Take part in design and development of projects about data visualization.
参与数据可视化相关项目项目的设计和开发。
Data integration is the key element of digitalization development.
数据集成是数字化研制中非常关键的组成部分。
The data came from 24 countries of the Organization for Economic Co-operation and Development (OECD).
统计资料来自经济合作与发展组织(oecd)的24个国家。
The application of data mining in bioinformatics will gain more development.
数据挖掘在生物信息学中的应用将取得更大的进展。
The application of data mining in bioinformatics will gain more development.
数据挖掘在生物信息学中的应用将取得更大的进展。
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