通过设置各种参数，您可以在不同时间，或用不同单位存储不同的数据值。
By setting various parameters, you can store different data values at different times, or in different units.
存储单个配置项目很有用，但大多数数据随时间改变，特别是当您谈论能源用途时。
Storing a single profile item is useful, but most data changes over time, particularly when you talk about energy usage.
如果您熟悉高速缓存，从本质上来说会话与它是相同的概念—存储数据以减少响应时间和服务器工作负载。
If you're familiar with caching, it is essentially the same concept — storing data to reduce both response time and server workload.
数据实例和图像等表单资源也存储在缓存中，这会减少装载时间并提供更好的用户体验。
Form resources such as data instances and images are also stored in the cache to decrease load times and to provide a better user experience.
由于数据存储的位置离需要它的用户更近，反应的次数也会因此减少，这意味着载入网站所需的时间更少。
As the data's stored closer to the user requesting it, latency times are decreased, meaning the website takes less time to load.
因此，有了数据集市，您就可以获得不仅仅是存储库当前状态的信息，而且还有关于趋势、更改和时间阶段的信息。
Thus, with the data mart, you can retrieve information not just about the current state of the repository but about trends, changes, and time periods.
这样做的缺点是数据存储要求很多时间和工作量建立正确的索引。
The drawback to this is that the data storage requires that you spend a lot of time and effort doing proper indexing.
对于长时间运行的业务过程中循环的每次迭代，都要在BPEDB 中存储数据。
There is data stored in the BPEDB for each iteration of a loop in a long-running business process.
使用本地存储的数据能有较快的响应，但是应用程序需要每隔一段时间就进行升级，保证用户查看的不是过时的信息。
Using locally stored data tends to yield quicker response times, but the application should offer periodic updates to ensure that the user isn't looking at stale information.
因此，在许多客户环境中，要维持这样高的支持数据库工作负载的IOPS速度并实现合理的响应时间，只能在所使用的每个HDD上物理存储较少的数据。
Therefore, in many customer environments, to maintain the high IOPS rate needed to service database workloads and to provide reasonable response times, less data is physically placed on each HDD used.
系统存储能力根据特定时间的用户数量、实例的数量和传输的数据量进行调整。
The system's storage capacity goes up and down depending on the number of users, instances, and the amount of data transferred at a given time.
除了提供更好的存储网络利用外，此功能也使存储系统中的浪费最小化（因为传输更好的数据到存储需要更少的时间）。
This functionality minimizes waste in the storage system in addition to providing better utilization of the storage network (because less data emitted to storage requires less time in transfer).
存储了时间数据后，就可以使用nf函数创建一个字符串，它可以将数字转变为字符串。
With the time data stored, you then create a string using the nf function, which converts Numbers into strings.
因为tombstone日志中的信息将随时间增加，所以有必要创建一个进程定期清理该存储。清理tombstone数据能够节省空间并且有助于改善同步性能。
Because the number of tombstones will grow over time, it may be prudent to create a process to clean up this store after a period of time in order to save space.
通过在一段时间内存储这些数据，您可以为您的客户、业务和您自己存储一个能源使用历史。
By storing this data over time, you can store a history of energy use for your clients, your business, or yourself.
如果需要，创建另一个新的数据库以存储整个一年或者特定时间段内的假期信息。
If needed, create another new database to store holiday information for an entire year or for a specified time duration.
另一种就是存储操作键，并且在必要时，存储时间戳作为维度上的属性数据。
The other is to store the operational keys and, if necessary, time stamps as attribute data on the dimension.
这个网格文件系统不仅需要存储区块，还要存储元数据信息，像目录、文件名、文件大小、最后修改时间等。
The grid file system needs to not only store chunks, but also metadata information, such as directories, files, file sizes, last modification times and so on.
对于系统时间表，DB 2还帮助将历史数据存储在一个与时态表相关联的历史表中。
For system time tables, DB2 also helps store historical data in a history table associated with the temporal table.
完成这些步骤之后，就不必将数据存储到活动数据库中，从而提供更大的灵活性，并且节省了将数据储存到数据库所需的时间和资源成本。
By doing so, there is no need to restore the data into a live database, which provides greater flexibility and saves time and cost on resources to restore the data to a database.
这些值通常存储在一个数据库行中，这个数据库行可以随时间变化添加内容并用于填充应用程序窗口中的选项。
These values are often stored in a database row that you can add to over time and use to populate choices in an application window.
配给一个存储单元所需的时间根据请求的存储大小、类型和特定云环境(或数据中心)的当前行为而决定的。
The time needed to provision a storage unit varies by the size of the storage being requested, the type, and current activity of that particular cloud environment (or, the data center).
显然存储一年中一段时间的大量的详细位置信息是个问题，但是我也感兴趣的是存储在我手机上的是什么样的数据。
Obviously storing a ton of detailed location data for a period of a year is a concern, but I was also interested in what kind of data my phone had on it.
实际上，用于从存储库(文件或数据库服务器)中获取信息的时间远高于编译并且甚至是执行PHP程序所需耗费的时间。
Indeed, the time to fetch information from a repository — be it a file or database server — far exceeds the lapse required to compile and perhaps even execute a PHP program.
如果数据是线性存储的，那么搜索数据的时间取决于线性表的长度。
If the data is stored sequentially, the time to find the item is proportional to the size of the list.
通常，分区键是基于时间的，因此这种设计会把某一周、月或季度的数据存储在特定分区中。
Typically, the partitioning key is time-based, resulting in a design that directs data for a given week, month, or quarter to be stored in a certain partition.
长时间运行的业务流程和任务实例存储在数据库中。
Long-running business process and task instances are stored in a database.
要测量数据的“更新程度”，您可能决定向该对象添加时间戳记字段，以便容易地检测对象是否与后备存储器同步。
To gauge the "freshness" of the data, you might decide to add a timestamp field to the object so that you could easily detect whether the object and the backing store were out of sync.
这需要一些时间，所以，在数据库中存储地址时，必须同时存储地址的经度和纬度。
This can take some time, so when you store the address in the database it makes sense to store the longitude and latitude of the address along with it.
AMEE允许在存储数据的同时存储时间信息，以便根据时间构建一系列数据点。
AMEE allows you to store time information along with your data, so that you can build up a series of data points over time.
应用推荐