What is the translation of " BIG DATA PROBLEM " in Chinese?

• 大数据问题
• 一个大数据问题

Examples of using Big data problem in English and their translations into Chinese

This is a big data problem.
这是一个大数据问题。

No single infrastructure can solve all Big Data problems.
没有任何单一的基础设施可以解决所有的“大数据”问题。

Not all big data problems fit the Hadoop model;
并不是所有的大数据问题都可以用Hadoop模式解决；.

The world is one big data problem.".
世界是一个大数据的问题。

Some might argue that the free market will eventually solve this particular Big Data problem.
有人认为，市场化最终会解决大数据的问题。

The world is one big data problem.”- Andrew McAfee.
整个世界就是一个大数据问题”--AndrewMcAfee.

Security analytics has become a big data problem.
信息安全已经成为大数据分析问题.

A large bank's Big Data problem could be very different to that of an online retailer or an airline.
一家大型银行的大数据问题跟一个在线零售商或者航空公司可能是非常不同的。

This can be interpreted as a Big Data problem.
都可视为大数据问题。

Big data problems are often unique because of the wide range of both the sources being processed and their relative quality.
大数据问题通常是独特的，因为处理的来源和它们的相对质量都很广泛。

Most companies don't have a BIG data problem.
相信大多数公司是根本不存在大数据问题的。

Big data problems, such as weather forecasts or chemical analysis, could be dealt with much faster through the power of quantum computing.
大数据问题，比如天气预报或化学分析，可以更快地通过量子计算来解决。

So our results apply only to Big Data problems.
因此，我们的结果只适用于BigData的问题。

Those satellites are creating a big data problem for the government which can't possibly hire enough analysts to look at all those pictures.
这些小卫星给政府造成了大数据问题，政府不可能雇佣足够多的分析人员来查看所有这些图片。

Self-driving cars are now a software and big data problem.
目前的无人驾驶汽车技术其实就是一个软件和大数据问题。

Solve cloud-related big data problems with MapReduce.
用MapReduce解决与云计算相关的BigData问题.

ORNL researchers turn to deep learning to solve science's big data problem.
ORNL研究人员利用深度学习解决科学大数据问题.

Identify what are and what are not big data problems and be able to recast big data problems as data science questions.
确定什么是大数据问题，什么不是大数据问题，并能够将大数据问题重铸为数据科学问题。

Climate change is perhaps the biggest big data problem around.
气候变化可能是最大的大数据问题。

If businesses simply go by the volume and velocity aspects, it qualifies as a big data problem.
如果企业只是重视数量和速度的层面，这是可以被定义为一个“大”数据的问题。

ArticleTitle=Solve cloud-related big data problems with MapReduce.
ArticleTitle=用MapReduce解决与云计算相关的BigData问题.

Just because a problem is large and produces a lot of data does not mean that it is a Big Data problem.
如果仅仅因为一个问题很大，并且产生了大量的数据，并不意味着这就是一个大数据问题。

Hadoop throws hundreds or thousands of computers at the big data problem, rather than using single computer.
Hadoop可以利用数百台甚至数千台计算机处理大数据问题，而不是使用…【阅读全文】.

The only way to approach this ecosystem is to treat it as a big data problem.”.
面对这个生态系统的唯一方法，是把它当作一个大数据问题。

Despite the hype, many organizations don't realize they have a big data problem or they simply don't think of it in terms of big data..
尽管关于大数据的宣传无处不在，许多组织仍然没有意识到他们正面临大数据问题，或者根本没有从大数据的角度思考自己面临的问题。

Moss has a vested interest in identifying the big data problem in these terms.
Moss对按这些条件识别大数据问题有很大的兴趣。

When it comes to cloud migration, data virtualisation has the power to convert the big data problem into a big data opportunity.
在云迁移方面，数据虚拟化可以将大数据问题转化为大数据机会。

For example, quadratic time algorithms, although practical on moderately sized inputs, can become inefficient on big data problems that involve gigabytes or more of data..
例如，二次时间算法虽然适用于中等大小的输入，但对于涉及千兆字节或更多数据的大数据问题可能会变得效率低下。

Interesting distributed systems technologies include systems like Hadoop and Spark for parallelizing big data problems, and Bitcoin/blockchain for securing data and assets.
有趣的分布式系统技术包括：用于并行处理大数据问题的Hadoop和Spark，以及保障数据和资产安全性的Bitcoin/blockchain。