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数据量)
(c) Improving satellite-based remote-sensing data capacity to evaluate geological threats;
There are techniques to be used in limiting the amount of cloud data flowing through systems.当数据量十分庞大时,可能需要用类Hadoop的NoSQLMapReduce技术来做后续分析。
If the data sets are large enough, a Hadoop-like NoSQL MapReduce technology may be required for analysis.当数据量巨大时,很明显这些数据无法在任何一台机器上处理。
When the amount of data is tremendous, it is obvious this data cannot be dealt with on any single machine.另外,CMOS传感器响应速度比CCD快,因此更适合高清监控的大数据量特点。
CMOS sensors respond faster than CCDs, and are therefore more suitable for high-volume data quality monitoring.CMOS传感器响应速度比CCD快,因此更适合高清监控的大数据量特点。
CMOS sensor response speed faster than CCD, and therefore more suitable for high-definition monitor features a large amount of data.并且受数据量和计算能力的限制,我们只能对最重要的数据进行统计和分析。
And because of the amount of data and computing power, we can only count and analyze the most important data..此类数据库针对需要大数据量、低延迟和灵活数据模型的应用程序进行了优化.
These types of databases are optimized for applications that work with large amounts of data, need low latency and flexible data models.当数据量持续增长和越来越多样化时,能够更多的使用这些信息,机构就能创造和捕捉增强竞的争优势。
As data volumes continue to grow and diversify, being able to make greater use of the information organizations are creating and capturing enhances competitive advantage.
The focus rests on large data volume for large-scale software systems.
It will open up prospects for the development of new applications such as downloading and increased data volume.随着物联网数据量的增加,其他应用或功能也在这些数据中找到了价值。
As the volume of IoT data grows, other applications or functions find value in that data.另外,CMOS传感器响应速度比CCD快,因此更适合高清监控的大数据量特点。
In addition, the response speed of the CMOS is faster than CCD, therefore more suitable for large data quantity characteristics of HD monitor.他们的主要功能是帮助单位组织把他们的大数据量变成有价值和可操作的见解。
Their primary function is to help organizations turn their volumes of big data into valuable and actionable insights.如果放任这些数据不进行管理,企业内每年产生的这些庞大的非结构化数据量会在存储上花费巨额。
If left unmanaged, the sheer volume of unstructured data that's generated each year within an enterprise can be costly in terms of storage.
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