它是甲骨文的点云数据。
We actually have more consumers in our data cloud than they have in theirs.
我们实际上有更多的消费者，在我们点云数据比他们拥有的他们。
The results of this effort will in time take the shape of the Times entering this Linked Data cloud.
时报即将进入关联数据云时代。
The key technique of jointing different measure station's data cloud is introduced in 3d laser scanner researching in the paper.
介绍了3维激光扫描仪研制过程中，把不同测站下的点云数据进行拼接的关键技术。
The idea of all our information held out there in the data cloud rather than just sitting as it traditionally has been on our desktops in front of us.
它的构想是将我们所有的信息都存储在数据云中，而不是像传统方式那样放在我们面前的电脑桌面上。
This paper presents a new algorithm to calculate the CNC tool path directly from the 3D data cloud, eliminating all path interference at the same time.
提出直接根据单值曲面3维密集测量数据点云进行刀具半径长度补偿，生成刀具加工轨迹并有效清除刀具干涉的新算法。
These next-gen cloud offerings from Oracle are dubbed Adaptive Intelligent Applications and use Oracle's Data cloud, a collection of more than 5 billion consumer and business profiles.
从Oracle这些下一代云产品被称为自适应智能应用程序和使用Oracle的点云数据，超过50亿的消费者和企业配置文件的集合。
Stop the application services in the cloud environment in preparation for the data migration by killing your mongrel processes.
通过终止您的mongrel 进程来停止云环境中的应用程序服务，为数据迁移做好准备。
The final segment of the three-part series, this show focuses on the data center, cloud computing, and virtualization.
最后的章节包括由三个部分组成的系列文章，重点是数据中心，云计算和虚拟化。
This not only means the transport of raw data from cloud A to B but also the possible conversion of data formats.
这不仅意味着把未经处理的数据从云平台A搬运到B，还包括数据格式上可能有的转换。
Third, data stored in the cloud may not be safe.
第三，储存在云系统中的数据可能并不安全。
Unlike traditional reporting engines, the data used for cloud analytics can reside in a number of locations outside the reporting engine.
跟传统的报告引擎不同，用于云分析的数据可以驻留在报告引擎外面的很多位置中。
The data are employed in combination with cloud maps.
这些资料与云图结合一起使用。
Next to the aspect of storage and data in the cloud, portability of Services must be ensured.
除了云端的存储与数据方面之外，服务的可迁移性必须得到确保。
Users must gather data from the cloud and find a way to make decisions on the fly.
用户必须从云获取数据，并且找到一个方法来在移动中作出决定。
This means that all three will have ample resources to spend in the main areas of the fight: data centres, cloud services and the periphery.
这意味着，三巨头在战斗的主要领域：数据中心，云及其周边服务都有着充足的资源。
In cloud computing, applications are provided and managed by the cloud server and data is also stored remotely in the cloud configuration.
云计算中，云服务器所保存和管理的应用程序和数据也都是通过云计算配置存放在远程端。
IBM operates a cloud data center for its customers.
IBM为其客户运作一个云数据中心。
Another key feature of cloud storage is geographic distribution of data (geographic scalability), allowing the data to be nearest the users over a set of cloud storage data centers (via migration).
云存储的另一个关键特性是数据的地理分布(地理可扩展性)，支持经由一组云存储数据中心(通过迁移)使数据最接近于用户。
The ESB also is designed to integrate enterprise data centers and public cloud infrastructures.
ESB同时被设计为可以对企业数据中心和公共云架构进行。
By leveraging the power of XML, you can easily integrate cloud data into existing enterprise applications.
通过利用XML的强大功能，可以很容易地将云数据集成到一个现有的企业应用程序中。
Who accesses your data in the cloud is not the only thing to worry about.
“谁访问云中的数据”并不是要担心的惟一问题。
First, by creating deep pools of easily accessed data, cloud computing facilitates data mining and crowd sourcing.
首先，创建更够容易获取的数据，云计算设备数据以及众包的数据池。
Smart companies value external data hosters, cloud or otherwise, for what they are: useful backup resources and occasional recovery mechanisms for ancillary or temporary assistance.
聪明的公司依照其本源来评价外部数据主机或云等的价值：有用的备份资源以及偶尔的备份机制，作为辅助型或临时辅助性手段。
Cloud-enabled financial market data solution: For a hybrid cloud.
应用云计算的金融市场数据解决方案：用于混合云。
By off-loading more data to the cloud, are companies and individuals opening themselves up to hacking and data loss?
将越来越多的数据纳入云端，公司和个人是否将更容易遭遇黑客入侵和数据丢失的威胁？
With a public cloud, data may be stored in unknown locations and may not be easily retrievable.
使用公共云，数据可能会存储在未知位置，不容易检索。
CAD and PLM companies are starting to offer solutions to share data on the cloud for better collaboration and data exchange.
为更好地进行协作和数据交换，CAD和PLM公司将会开始忙着提供各种将数据共享到云计算服务器的解决方案。
Another issue is the potential for problems with data in the cloud.
另一个是云中数据潜在的问题。
Companies are increasingly storing proprietary data offsite, in a scattered "cloud" of data centres.
企业逐渐在办公场地之外、在一些零散的“云”计算数据中心，存储公司专有数据。
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