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Lambda在线 > 中兴大数据 > 原创译文 | “大”数据将不复存在:2017年大数据6大预测

原创译文 | “大”数据将不复存在:2017年大数据6大预测

中兴大数据 2017-10-30

作者 | Chris Brandt

翻译 | 周治中@中兴大数据

来源 | universityherald.com


随着大数据进入的领域越来越多,更多的企业开始引入大数据技术。让业务更快更有效是他们这样做的动因。通过大数据,他们能够轻松获取信息,以便做出最具洞察力的决策。显然,很多企业已经因此获益了,那明年会如何呢?在即将到来的一年里,大数据又将对商业和工业产生什么影响呢?

1

涌现更多分析工具

随着数据体量的增长,数据分析方法也会相应演进。SQL仍然会是标准分析方法,但一些新兴的大数据分析方法会崭露头角。Spark就是其中之一,它是一种快速的数据分析处理框架,很多世界顶级企业如Facebook已经采用Spark。这些工具使用非常简单,无需任何编码知识就能轻松掌握。Microsoft和Salesforce最近推出的Microsoft R Server和Lightning CRM平台就是这类工具,可供非编码人员创建数据浏览应用。

2

实时流处理一枝独秀

技术专家预测,2017年企业和组织倾向于利用数据做实时决策,因而需要更先进的分析工具。

3

个人隐私将面临巨大挑战

Gartner预测,到2018年,50%的企业可能因大数据而违背商业道德。事实上,欧盟在制定最新的隐私管理规范时,已经考虑了这一点。

4

人工智能繁荣发展

随着人工智能技术日渐成熟,更多这个领域的产品将会被开发出来,例如虚拟助手、机器人、智能顾问、无人驾驶汽车等等。

5

认知技术的机遇到来

随着人工智能的发展,认知计算成为必备技术。认知技术甚至会成为分析学的同义词,正如大数据和分析学那样关系紧密、高度相似。

6

“大”数据不复存在

这句话的意思是大数据将被分成多个数据块,以保证效率和可操作性。许多专家认为,体量不再是数据被关注的重点。实际上很多公司并没有完全使用他们获得的所有数据。因此,与其一味追求数据量,不如好好考虑下如何有效利用现有的数据。

英文原文:

Big data is getting bigger and bigger and more businesses are adopting it. Why not when it makes business faster and more efficient. Through big data, they can easily access information to help them create well-informed decisions. It surely has done a lot of benefits to companies but how about next year? How will big data affect businesses and industries in the coming years?

More analytic tools will emerge

As data volume grows, analytical methods will improve. SQL will still be the standard; however, there are emerging ways how big data is analyzed. One of them is Spark which is a good complementary tool for analysis. These tools will also be easier to use where users will be able to use them without any coding knowledge. Microsoft and Salesforce have already introduced these tools recently allowing non-coders to create apps to view data.

Real-time streaming insights will be the big winners

Tech experts predict that in 2017, business and organizations will want to use data to make real-time decisions using advanced analytic tools.

Privacy will be the greatest challenge

Gartner predicted that by 2018, almost 50 percent of businesses will face violations in business ethics in relation to big data. In fact, that is already anticipated when the European Union put into effect the new privacy regulation.

Autonomous agents will continue to thrive

As artificial intelligence becomes more sophisticated, companies will rely more on these things, which include virtual assistants, robots, smart advisers, and autonomous vehicles.

Cognitive technology will emerge

With the emergence of AI, cognitive computing will become a necessity. It will even become synonymous with analytics as businesses perceive the relationship and similarity between big data and analytics.

Big data will be gone

What it means here is that big data will be divided into chunks to make it more efficient and actionable. As some experts say, volume is not necessarily better where data is concerned. More so, a lot of companies don't really use up all those data they have access to. Therefore, instead of accumulating volume, companies should know how to efficiently use the data they have in their hands no matter what the size is by asking the right questions.

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