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。
But wait a minute; where's the data section of this problem?
但是请等一下，这个问题的数据部分在什么地方呢？
First Failure Data Capture (FFDC) is also used in problem diagnosis.
首次错误数据捕获(FFDC)也是用来做问题诊断的。
For example, data replication and sync is a big problem.
例如，数据复制和同步就是一个大问题。
如果不是，请修复数据的问题。
The problem is not that this company needs a data warehouse.
问题并不是这家公司需要一个数据仓库。
As the data show, the problem is not getting any better.
正如资料所显示，这一问题并没有任何好转。
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。
This article gives instructions on how to collect data to debug the core dump problem.
本文提供有关如何收集数据来调试核心转储问题的说明。
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？
You can see how this might be a problem for large amounts of data.
可以看到，对于大量数据而言，这可能是个问题。
Sometimes, changing these other data can lead to a security problem.
有时，这些其它资料的变更会导致安全性问题。
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。
Its purpose is to collect data for a problem that you are encountering.
其目的是为了收集您遇到的问题的数据。
Another problem: Experts are inconsistent in how they analyze complex data.
另一个问题在于：专家分析复杂资料的方式并不始终如一。
Data on success rates are scarce, which is a problem.
成功的数据暂时不多，这是个问题。
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。
What data does the user need to understand the problem domain?
要理解问题领域，用户需要哪些数据？
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。
Data clustering offers a solution to this problem.
数据集群为这个问题提供了一个解决方案。
To solve the problem of sparse data, we need more data... obviously.
为了解决数据稀缺问题，我们需要更多数据。
This is designed to further assist in preventing a data corruption problem.
这个旨在进一步协助防止数据损坏问题。
Better infrastructure and less data hogging would definitely help to solve the problem.
更好的基础设施和更少地占用网络数据一定会有助于解决这个问题。
This can be a serious problem with some data.
而这一点对于某些数据而言会是一个很严重的问题。
This is a classic integration problem: one application has data that another one needs.
这是一个典型的集成问题：一个应用程序有数据，而另一个应用程序需要数据。
The next (less difficult) problem is how to store the processed data.
第二个问题比较容易解决，就是如何保存处理过的数据。
Without a database concept such as SKIP LOCKED DATA, this problem is difficult to solve.
如果没有SKIPLOCKEDDATA这样的数据库概念，这个问题是很难解决的。
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