你好,游客 登录
背景:
阅读新闻

2018年我们将迎来的五项大数据发展趋势

[日期:2018-01-02] 来源:网络大数据  作者: [字体: ]

  2018年我们将迎来的五项大数据发展趋势

大数据

  大数据确实极为庞大。事实上,如今我们每天创造出约2.3万亿GB数据,这意味着数据世界每两年都将增长一倍。那么,展望即将到来的2018年,大数据领域会出现哪些变化?这些变化又会给我们造成怎样的影响?我们将在今天的文章中一同探讨。

  1. 我们终将利用暗数据

  2. 结构化与非结构化边界的消失

  3. CDO快速崛起

  4. 量子计算进入公众视野

  5. 媒体关注度有所下降

  原文标题:5 Big Data Industry Trends in 2018

  Big Data is huge. With nearly 2.3 trillion gigabytes of data created every single day and the data universe doubling every two years, there's no denying that data is, and will continue to be, shaping our world. To your everyday user of tech, it may not seem like it, but big data trends are constantly changing and evolving.

  We've already brought you the trends we expect to see in business intelligence in 2018, but what can you expect for big data in 2018? Although these are the top changes we predict, the rapidly evolving nature of this field means we're likely to be in for some surprises, too.

  Here's our take.

  1. We'll Finally Leverage Dark Data

  Despite all the buzz about the unprecedented volumes of data that humanity generates every day, the fact remains that databases all over the world remain in analog form, un-digitized, and thus untapped regarding analytics.

  The coming year will witness increased digitization of this "dark data," such as historical records, paper files, and many other forms of non-digital data recording. As this new wave of dark data enters the cloud, we can expect to see a major increase in the range of trends and cycles we can predict.

  2. Breakdown of the Structured/Unstructured Boundary

  A recent Forbes survey reports that the number of enterprises with more than 100 terabytes of unstructured data has doubled since 2016 — but that only 32% of those companies have succeeded in analyzing that data in any actionable way.

  As deep learning algorithms become more capable of deriving useful insights with less human supervision, we expect to see unstructured data become an increasingly significant part of the big data ecosystem.

  3. CDOs Take the Offensive

  Chief Data Officers (CDOs) are taking increasingly high-level roles in organizational strategy. The same Forbes survey mentioned above finds that more than 50% of CDOs will report directly to the CEO in 2018, up from just 40% in 2017.

  As data analytics become part of the core operations of an ever-increasing number of businesses, CDOs will take more active roles in shaping new initiatives, and will become common sights in executive boardrooms around the world.

  4. Quantum Computing Enters the Conversation

  In 2017, quantum computing was essentially just an exciting idea, supported by little more than a few promising case studies. And while commercial quantum computing is still several years away, 2018 will bring an increasing battery of tests from companies like Google, Intel, and the Turing Institute, all of whom have quantum computers in active development.

  As the ability to crunch 10,000,000,000,000,000 numbers at once becomes a realistic possibility, the sheer scale of the data we discuss will rapidly begin to expand.

  5. The Media Spotlight Descends at Last

  "Big data" has been a buzzword for a few years now. However, in the wake of stories like alleged Russian influence in the US presidential election, Facebook's controversial political ads, and the massive Yahoo! data breach, the general public is beginning to recognize that big data has become an intimate aspect of all our lives.

  While we can certainly (and sadly) expect more data-related scaremongering in 2018, we're also likely to see increasing media coverage of big data as a discipline, as a growing group of non-experts becomes more curious to find out how data analytics impact their lives.

  Want to see what 2018 has in store for business intelligence? Keep ahead of the game with our free whitepaper: The Biggest BI Trends for 2018.





收藏 推荐 打印 | 录入:Cstor | 阅读:
本文评论   查看全部评论 (0)
表情: 表情 姓名: 字数
点评:
       
评论声明
  • 尊重网上道德,遵守中华人民共和国的各项有关法律法规
  • 承担一切因您的行为而直接或间接导致的民事或刑事法律责任
  • 本站管理人员有权保留或删除其管辖留言中的任意内容
  • 本站有权在网站内转载或引用您的评论
  • 参与本评论即表明您已经阅读并接受上述条款