You need a long series of data to be able to discern such a trend.
你需要一大串数据才能认清这一趋势。
Therefore, you need another mechanism of specifying the business object to the data handler.
因此，您需要能将业务对象指定到数据处理器的另一个机制。
And we need that software to be flexible enough to work for any type of data collection.
我们需要的软件需要有足够的灵活性，来适用于任何类型的数据收集。
One aspect of this changing need is for the data to be more available.
这种需求变化的一个方面是需要让数据更容易取得。
Multiply data and you multiply the need for people to make sense of it.
数据成倍增长，同时要求你付出更多努力让人弄清楚其中的含义。
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。
The same is true if they need fast retrieval of the data.
如果需要快速检索数据，也应该如此。
It should support the need to coordinate and manage the lifecycle of master data.
它应该支持主数据生命周期的协调和管理。
If you cannot access a data source directly, what level of IT support will you need from your customer to get the data?
如果您无法直接访问数据源，您将需要从客户获得什么层次的IT支持以获得数据？
Most business processes need to manipulate some sort of data.
大多数业务流程都需要操作某种类型的数据。
Suppose you need to create and maintain a separate set of data source definitions.
假设您需要创建和维护一组不同的数据源定义。
Furthermore, I also need to keep track of the instance association data as described above.
进一步说，我还需要记录像上面所述的匹配数据案例。
Of course, sometimes you need to gather up data from your systems.
当然，有时候您需要从系统收集数据。
Scripts and data pools need to exist inside of a project.
脚本与数据池需要存在于项目之内。
Of course, you need to define how you are going to store your data.
当然，您需要定义怎样来存储您的数据。
You may even need to prove the integrity of this data.
您甚至需要证实数据的完整性。
To convert the address book to XML, you need to reorganize some of the data.
要将地址簿转换成xml，需要对一些数据重新组织。
This limits the size of the data that you'll need to keep.
这可以限制需要保留的数据的大小。
Nor do we need to recover the entire contents of the data.
我们也不需要恢复所有数据内容。
Suppose you need to store a large amount of data.
假定您需要存储大量数据。
Notice there was no need to keep track of character data.
注意，您不需要跟踪字符数据。
Some of the data recovery basics you need to know to appreciate this article include.
阅读本文时您需要了解的一些数据恢复基础知识包括。
We need to define four wrappers to access four different types of data sources.
我们需要定义4个包装器来访问4种不同类型的数据源。
Decision makers need to convert large volume of data into valuable information and knowledge.
决策者迫切需要将海量数据转换成有价值的信息和知识。
Will the data warehouse need any data from outside of the customer? S Intranet?
数据仓库是否需要客户企业网(intranet)外部的数据？
In case of need, we are happy to provide a copy of the data.
在需要的情况下，我们乐于提供这些资料的副本。
Of course, we need input data. Our utility code2data.py.
当然我们需要输入数据，实用程序code2data . py提供了这个功能。
First, I need to mock up a description of what I might want to say about the data in.
中的数据，我需要模拟出一个描述，记录下对于这些数据我可能要说的内容。
We need to deal with the problem of resolving these data type issues.
我们需要处理的数据类型解决这些问题的问题。
We need to deal with the problem of resolving these data type issues.
我们需要处理的数据类型解决这些问题的问题。
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