这些功能可以确保无论出现什么问题，数据都能保持可用性。
These features ensure that data remains available regardless of problems that may occur.
在接下来的几年里，我希望能更好地理解数据革命提出的一些问题。
Over the next years, I'm hoping to get a better grip on some of the questions raised by the data revolution.
左脑会分析情形以及所有已知的事实，然后定义需要解决的问题并把数据转交给具有创新性的右脑。
The logical left side of your brain analyzes the situation and all the known facts, defines the problem that must be solved and then hands the data over to the creative right side of your brain.
通过一点预备工作，就可以节省日后跟踪数据完整性问题的大量时间。
With a little up-front work, you can save yourself a whole lot of time chasing data integrity problems later.
幸运的是，有一些规则能够解决这些问题，甚至改善您在物理数据中心的运行时间！
Fortunately, a bit of discipline can work around these problems and even improve your uptime in the physical data center!
准确的数据对于为人民的健康查明问题和实施有效解决方案至关重要。
Accurate data is critical to identifying problems and implementing effective solutions for people's health.
这些工具能使您快速对性能问题进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
These tools enable you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
这是一种好的调试技巧，可以确保问题不是由于浏览器缓存中陈旧的数据造成的。
This is a good debugging technique to make sure a problem isn't resulting from stale data in the browser cache.
Nathan Good 编著的RegularExpressionRecipes一书提供了针对许多常见数据处理和过滤问题的有用的解决方案。
Nathan Good's book, Regular Expression Recipes, presents helpful solutions to many common data processing and filtering problems.
商业分析软件通过在短时间内分析海量数据，能够为各种类型的问题提供各种可操作的见解。
Business analytics software can provide this and other types of actionable insights for these and other types of problems by analyzing huge amounts of data in a short period of time.
如果数据可以进行良好地组织，那么即使是复杂的问题通常也能够快速得到解决。
Complex problems can often be solved quickly if data can simply be organized well.
解决数据相关的问题不是一朝一夕的事。
另一个问题，尽管同样缺乏数据支持，却不容忽视，即过度捕捞和全球气候变暖导致海水温度和洋流改变，进而影响鲨鱼的行为。
Another question — but again, lacking sufficient data to answer it — is the impact on shark behavior from overfishing and from global warming, which affects ocean temperatures and currents.
实际上，相同的问题通常也适用于数据文件；保存纯文本通常是实现可移植性的最简单方法。
In fact, the same issues often apply to data files; saving plain text is often the simplest way to achieve portability.
这些工具允许您快速地对性能问题进行故障排除，并获取相关的数据以便进行历史趋势研究和分析。
These tools enable you to quickly troubleshoot a performance problem and to capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并获取相关的数据以便进行历史趋势的研究和分析。
These tools allow you to quickly troubleshoot a performance problem and to capture data for historical trending and analysis.
这些工具允许您快速地对性能问题进行故障排除，并捕捉相关的数据以便进行历史趋势的研究和分析。
These tools allow you to troubleshoot a performance problem quickly and capture data for historical trending and analysis.
Steve：在RFID世界里，其中一个主要问题是如何将RFID数据与驱动组织运转的人员与系统相连接。
Steve: In the RFID world, one of the primary questions is how to connect RFID data to the people and systems that drive an organization.
研究人员则测试这些方程，弄清它们是否还不完善，或是否基于有缺陷的数据，并运用它们辨别新的问题，或将它们应用到混乱的现实生活中。
Researchers test the equations, determine whether they're still incomplete or based on flawed data, use them to identify new questions, and apply them to messy reality.
在这个系列的下一篇文章中，我将解释SOAP经常被曲解的另一个方面，即数据编码，它造成了许多互操作性问题。
In the next article in this series, I will explain another commonly misunderstood aspect of SOAP which is responsible for many interoperability issues, namely, data encoding.
很明显，最重要的问题是各个科室和系统供应商之间缺少一致的数据模型，这浪费了时间，增加了发生错误的可能。
Clearly, the most important problem is the lack of a consistent data model across departments and providers. This wastes time and increases error rates.
在科学当中，找到一个可以由现有数据解答的问题，也是一个重要的进步。
In science an important step forward can be finding a question that can be answered with the data at hand.
负责收集数据，分析业绩，发现问题并提出有助于物流管理的建设性建议。
Responsible for assembling data, analyzing performance, identifying problems, and developing recommendations which support the management of logistics.
现在我要做的就是分析下数据，分析完后，问题就解决啦！
All I need to do is analyze some data, and after that, problem solved!
所以我们认为，这类问题是数据在未来可以大显身手的领域。
So those kinds of problems are where we see the future of where data is going.
该基准测试通过检查大量数据，执行复杂查询，以及回答商业问题来展示决策支持系统的性能。
This benchmark demonstrates the performance of decision-support systems by examining large volumes of data, executing complex queries, and providing answers to business questions.
不过有一点非常清楚，如果这个国家最重要的档案系统都无法保护它自己的数据中心，那么企业也极可能面临同样的问题。
What is clear is that if the most important archival system in the country can't protect its data centers, it's likely that the enterprise is going to have problems too.
我可以如何呈现数据，以使用户能够对问题有全面的理解？
How can I present the data in a way that will give the user a comprehensive picture of the problem domain?
这一情景应当随着基础数据的变化而时时更新，这样，用户不但能够理解问题领域的现状，也能知道各项变化是如何影响该领域的。
This picture should be constantly updated as the underlying data changes, so the user understands not only the current state of the problem domain but also how changes affect the domain.
所有这些数据都有助于缩短服务中断时间，降低对用户的影响并更快速地解决问题。
All this data leads to shorter outages, lower impact on users, and quicker resolution of problems.
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