The SPU queues a DMA GET to pull a portion of the problem data set from main memory to a buffer.
SPU对DMA GET进行排队，从而将涉及的数据集的一部分从主内存传输到一个缓冲区。
You are now ready to run the portable collector and collect problem data from the failing system.
现在就为运行便携收集器并从故障系统收集问题数据做好准备了。
You will need to provide a PMR number so that the collected problem data can be associated with it.
您需要提供PMR编号，以便能够将收集到的问题数据与之关联。
The SPU queues a DMA GET to pull a portion of the problem data set from main memory into buffer #2.
SPU 对DMA GET 进行排队，从而将涉及的数据集的另一部分从主内存传输到二号缓冲区。
The first, data collection, provides automated scripts that can be used to quickly gather problem data from a system.
IBM Support Assistant的服务组件包括两个主要部分：第一个是数据收集，提供了可用于快速从系统收集问题数据的自动化脚本。
Use the portable collection option if you do not want to install the entire IBM Support Assistant application on the machine from which you need to collect the problem data.
如果不希望在需要收集问题数据的计算机上安装整个IBMSupportAssistant应用程序，则可以使用便携收集选项。
In the research of seismology for monitoring nuclear explosion, data quality checking is a basic step for seismogram automatic processing, spike is the main problem data.
核爆炸地震监测技术研究中，数据质量检测是地震数据自动处理的基本内容，毛刺是影响数据质量的主要问题数据。
This paper introduces a method for parking character survey and data processing. A feasible approach is proposed for revising iffy data in an analysis of these problem data.
介绍了停车特征调查方法和后期数据处理，并对其中的问题数据进行分析，从而给出了可行的问题数据处理方法。
Well, this problem is so simple that the problem data is directly included in the objective function and constraints declarations as the coefficients of the decision variables in the declarations.
噢，这个问题是如此简单，问题数据都作为声明中决策变量的系数直接包含在了目标函数和约束声明中。
A problem in using outdoor advertising is that of getting reliable data on the number of people who actually see an advertisement.
使用户外广告的一个问题是如何获得关于实际看到广告的人数的可靠数据。
In fact, when Twenge previously used this data to suggest a screen time effect, some commentators were quick to raise this problem.
事实上，当特文格之前使用这些数据来说明屏幕时间效应时，一些评论者很快就提出了这个问题。
The open-data shift poses a confusing problem for junior researchers.
开放数据的转变给初级研究人员带来了一个令人困惑的问题。
Mark Serreze, director of the American National Snow and Ice Data Center (NSIDC) in Colorado, thinks that sea level rise is going to be a bigger and bigger problem, as we move through the 21st century.
美国国家冰雪数据中心（NSIDC）位于科罗拉多州，其主任马克·塞雷泽（Mark Serreze）认为，随着我们进入21世纪，海平面上升将成为一个越来越大的问题。
One reason is a problem of data.
其中一个原因是数据的问题。
All programmers have had to solve the problem of data persistence.
所有程序员都有必须解决数据持久性问题的经历。
如果不是，请修复数据的问题。
Data federation addresses the problem of integrating data from heterogeneous source models and includes concepts to map those different source models into the common model at the federated layer.
数据联合处理有关集成来自异类源模型的数据的问题，包括将这些不同的源模型映射到联合层的公共模型的概念。
Data consolidation addresses the problem of integrating data from heterogeneous source models and includes techniques to map those different source models into the common model at the target.
数据整合可以处理集成来自异构源模型数据的问题，并且包括将这些不同的源模型映射到目标中的公共模型的相关技术。
The first problem is indexing the application data.
第一个问题就是索引应用数据。
It is truly a useful technology for a specific data problem.
对于一个特定的数据问题，它的确是一项有用的技术。
The solution to this problem is a data warehouse.
对此问题的解决方案是数据仓库。
The problem: which data transfer object is returned by which entity?
问题：哪个数据传输对象由哪个实体返回？
From a design perspective, this is a classic problem of the data model being coupled to view generation.
从设计的角度来看，这是数据模型与视图生成耦合的经典问题。
The more pressing problem is the handling of data elements.
更为迫切的问题是数据元素的处理。
Diagnose - Drill down into problem detail and analyze captured data.
诊断—深入到问题细节并分析捕获数据。
Herein lies the problem: the data to be requested and transmitted is not necessarily resident in static files.
这就出现了问题：将被请求和传输的数据不必一定驻留在静态文件中。
As we previously mentioned, SDO isn't the only technology that proposes to resolve the problem of data integration in distributed applications.
前面已经提到，SDO并不是提出解决分布式应用程序中数据集成问题的惟一技术。
They are applying such negative representations to the problem of protecting sensitive data.
他们对问题进行类似的否定表达，从而保护敏感数据。
We used to be data poor, now the problem is data obesity.
我们过去是数据匮乏，现在的问题是数据臃肿。
The data problem creates a rigid environment that lacks reuse and prevents agility.
数据问题导致了缺乏重用并阻碍敏捷性的僵化环境。
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