该系统的实现可很好地解决海量数据存储的可靠性问题。
The implementation of storage system can well resolve mass data reliability storage.
海量数据存储系统是遥感图像信息系统的关键组成部分之一。
The Mass Storage System (MSS) is one of the most important infrastructures of Remote Sensing Image Information System.
海量数据存储系统中的数据管理是影响整个系统性能和可扩展性的关键问题。
In massive data storage systems, data management is the key problem that affecting the performance and scalability of the entire system.
在这一网站结构的框架下，进一步分析了网站各种海量数据存储需求，探讨了以SAN为主结合NAS技术的集中存储方案。
Within the framework, a SAN-based design combined with NAS techniques is presented based on an analysis of requirements of large volume web storage system.
静止气象卫星地面应用系统是一个具有高速通信、大规模数据处理、高时效产品服务、海量数据存储功能的大型业务应用系统。
The geostationary meteorological satellite ground application system is a main system with high speed communication, large-scale data processing, product service giving, and mass data storage.
分析对象-关系访问层体系结构和OID生成策略，128位随机数算法生成的OID已不适应数据信息量不断增加和海量数据存储的需求。
Analyzing the architecture of object-relational access layer and OID generating strategies, 128 bit random number algorithms is not adapted to the increment of the data processing and data storage.
该技术可让企业在第三方运营的服务器构成的巨型货仓内，存储和处理海量数据。
This lets companies store and process vast amounts of data in huge warehouses of servers run by third parties.
列存储主要是用来储存并处理海量数据的。
Column Family Stores. These were created to store and process very large amounts of data distributed over many machines.
按照传统做法，组织必须利用数据库存储并操作海量信息。
Traditionally, organizations have turned to databases to store and manipulate large amounts of information.
计算机大规模存储技术以及伴随云计算而不断提升的计算能力使海量数据处理成为可能，而且更廉价。
Massive increases in storage and computing power, some of it available via cloud computing, make number crunching possible at very large scale and at declining cost.
流行的观点认为EDM需要海量数据库来存储组织所处理的所有数据，但是事实上并非如此，EDM仅仅是一个公共逻辑数据模型。
Unlike the popular myth that EDM requires a mega-database that stores all the data that an organization deals with, it is only a common logical data model.
数据组织的目标是提供对由不同数据存储库表示的海量资源的访问。
The goal of data organization is to provide access to the vast resource represented by a diverse data repository.
但是，现在数据和内容都存在了“云”里。云，由Amazon,Google和其他公司运行的大型服务集群，存储着几乎世界各地的海量数据以供检索。
But now data and content often reside in the "cloud" : large server farms, run by Amazon, Google and others, where huge amounts of data are stored for retrieval from almost anywhere in the world.
这种拳头般大小的宝石能存储海量的数据信息。
The fist-sized gems are capable of storing immense amounts of data.
第四章介绍了海量数据的存储与访问和DOS攻击的特征。
The fourth chapter describes the massive data storage and access features and DOS attacks.
这就对数据库管理系统提出了挑战，即如何有效地存储和管理海量数据并高效的支持上层的查询。
This is a great challenge to DBMS, because it has to store and manage the massive data efficiently and support SQL queries more effectively.
传统的空间数据组织方式存在严重的不足，无法满足海量空间信息的存储与处理要求。
The method of spatial data organization in traditional spatial information system cannot meet the requirement of mass spatial data storage.
然而，从很多个大关系表中取出数据可能需要海量的处理和存储。
However, getting data from many large relational tables can require massive amounts of processing and storage.
基于提升方法构造的整数小波变换，采用行索引稀疏存储方案，可以对海量影像数据进行高保真的压缩。
The method of sparsely row-indexed storage has been used to compress large volumes of image data, on the base of integer wavelet transform constructed by lift scheme.
如何存储、管理海量图像数据，尤其是快速检索、快速显示海量图像数据，已成为实际应用中迫切需要解决的问题。
It's a tough practical issue how to storage, manage and even to retrieval and to display the mass image data.
如今，即使是小企业也能够购买可存储海量数据的系统了。
These days, even small companies can buy systems that store many gigabytes of data.
在这种情况下，海量数据分布在各种异构的存储资源上，给用户的访问增加了难度。
In that case, there are huge amounts of dada distributed over different storage resources, so it is very difficult for users to access them.
海量移动流媒体图像、视频数据存储与跨域资源访问，属于信息技术领域。
Massive mobile streaming media images, video, data storage and cross-domain resource access, is information technology.
主要用途是：实现海量移动流媒体图像、视频数据存储与跨域资源访问。
The main purpose is: to achieve mass mobile streaming images, video and data storage and cross-domain resource access.
使用对象关系型数据库来一体化存储和管理海量的GIS基础图形数据和属性数据是近年来GIS领域研究的一项重点内容。
It is an important research content of GIS fields in the recent years to store and manage mass GIS basic graphics data and attribute data using object-relation database.
随着系统数据量的海量增长，一些使用直联存储的企业开始考虑用存储网络来解决问题。
With the massive growth in data traffic of systems, some companies that use direct attached storage begin to consider the use of storage network to solve the problem.
提出一种内存优化管理方法，能更高效地存储海量数据。
A memory optimizing management method is proposed, which can memorize massive data efficiently.
层次存储技术是存储和管理海量连续媒体数据的有效手段。
Hierarchical storage technology is an effective way to store massive continuous media objects.
空间数据引擎是实现海量空间数据存储和管理的解决方案。
Spatial data engine as a solving project is helpful to realize the mass spatial data's storage and management.
同时给出了实时数据的一种智能化存储策略，很好她解决了在线监测所产生的海量数据。
An intelligent data store strategy is given to store the real-time data from the on-line monitoring system.
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