欢迎来到数字化、数据密集型、空中监视时代。
例如，想象您正在建立一个数据密集型的系统。
For example, imagine you're building a system that's data intensive.
支持Dryad(大伸缩量，数据密集型的并行计算)(即将提供)。
Support for Dryad (large scale, data-intensive parallel programming) (soon).
想一想，对于这样一个数据密集的对象，需要多大的网络通信量！
Think of the amount of network traffic for such a data-intensive object!
还可另外购买附加工具，来增强对数据密集型DB 2环境的控制能力。
There are additional tools available at an additional purchase to further enhance your control of data-intensive DB2 environments.
但是在金融这样一个数据密集的多金行业，数据的应用还停留在比较原始的阶段。
On the contrast, in the data-intensive financial industry, the application of AI technologies to extract value of data is still in a relatively primitive stage.
网络技术的进步为数据密集或计算密集型的应用提供了大规模、分布式的处理能力。
Advances in network technology provide large scale distributed computing capacity for those applications that deal with heavy computation task.
尽管这个问题总是被忽视，但在数据密集型应用程序中，数据流确实会消耗大量带宽。
While often overlooked, data flow consumes a larger share of bandwidth in data-intensive applications.
虽然网格中的存储计算非常适合数据密集型存储，但是存储一个字节大小的对象从经济上来说不合适。
While the storage computing in the grid is well suited for data-intensive storage, it is not economically suited for storing objects as small as 1 byte.
对此问题进行深入分析后，我们发现这属于数据密集型行为，由于数据不在缓存内，因此造成较高的内存分页率。
After digging deeper into this issue, we found that this is a data intensive activity, the data is not in the cache, and results in a high paging rate.
但是，在目前阶段，GE的突破还只是停留在实验室阶段，尚未有规模市场供应和投入计划的方案，而且仅应用于数据密集型企业。
However, at this stage, ge's breakthrough is lab-only, with no solution yet for a mass market offering and launch plans, vague as they are, for data-intensive business USES only.
就JFS2而言，这种情况不再可能发生，甚至不再需要，因为已经对它进行了优化，以便更加高效地处理元数据密集型的应用程序。
With JFS2, that is no longer possible, or even necessary, because it was tuned in order to handle metadata-intensive types of applications much more efficiently.
由于其规则结构，关系数据是“密集的”，即每一行中的每一列都有一个值。
Because of its regular structure, relational data is "dense" — that is, every row has a value in every column.
典型应用包括信号处理、密集的物理模拟及某些数据处理。
Some example applications are signal processing, intensive physics simulations, and some kinds of data processing.
它们只能处理很少的数据，而一些存储密集的功能，如动画和多媒体，也难以实现。
They could process only so much data, and memory-intensive features, like animation and multi-media, were difficult to program.
所有的这些页均使用了数据库密集访问而且大都是我们最受欢迎的页面。
All of these pages have database-intensive accesses and are among our most popular pages.
查询优化集中于cpu密集型(CPUbound)执行路径，而全缓存数据库将仍然集中于优化取页到大容量存储器的操作，而这已不再是问题。
Query optimization focuses on CPUbound execution paths, while a fully cached database will still be preoccupied with optimizing page fetches to mass storage that are no longer an issue.
我们的主要客户使用AppistryEAF来简化数据和CPU密集型应用的开发和部署，典型的如以一种高可靠的方式来处理大量数据。
The majority of our customers are using Appistry EAF to simplify the development and deployment of data and CPU intensive applications, typically to process lots of data in a highly reliable way.
可能有一个请求执行一个简单的算术活动，另一个请求执行一个资源密集型操作，比如数据库读写。
You could have one request perform a simple arithmetic activity and another request perform a resource intensive operation, such as reading or writing to a database.
这些工具的紧密集成可用于创建业务、应用程序、服务和数据需求的单一无缝模型。
The close integration of these tools can be leveraged to create a single, seamless model for business, application, service, and data requirements.
音频数据的编码是一项cpu密集型任务。
记住，实时搜索可能是数据库密集型的。
如果对源数据库的访问不可靠，在缓存层争取弹性可能会提高读密集型应用程序的总体稳定性。
If access to the source database is unreliable, striving for resiliency in the cache layer might improve overall stability for read-intensive applications.
这使得表达可重用数据概念的规范化数据模型与其他工件紧密集成，例如业务术语表、服务定义和业务流程。
This allows the canonical data models that express the reusable data concepts to be integrated tightly with other artifacts such as business glossaries, service definitions and business processes.
同步方法要求数据库软件与专门化的HA 软件紧密集成，以产生一个 HA集群。
The synchronous method involves tight integration of the database software with specialized HA software to produce a HA cluster.
汇总表存储以回答常见(或资源密集型)业务查询的方式汇总的数据。
A summary table stores data that has been aggregated in a way that answers a common (or resource-intensive) business query.
由于许多自动执行的任务往往倾向于数据库密集型，因此用户不希望随机执行这些操作。
Since many automated tasks can tend to be database-intensive, you do not want these actions executed at random.
他们在数据信息板中以及工作环境中的各种人流密集的地方发布了关于此活动的传单。
They publicized this event with flyers posted on their digital information board and in various high-traffic locations throughout the work site.
他们在数据信息板中以及工作环境中的各种人流密集的地方发布了关于此活动的传单。
They publicized this event with flyers posted on their digital information board and in various high-traffic locations throughout the work site.
应用推荐