注册 登录  
 加关注
   显示下一条  |  关闭
温馨提示!由于新浪微博认证机制调整,您的新浪微博帐号绑定已过期,请重新绑定!立即重新绑定新浪微博》  |  关闭

纷纷红紫已成尘·布谷声中夏令新

山西财院78jitong 19781017--19820715

 
 
 

日志

 
 
关于我

78jitong.......................................................... 高三李五七弓长,三赵九刘七大王,阎吴谢孙崔氏双,柴米余侯箩万堂, 毛邓陈宋任申杭,曾肖徐翁程董梁,储曲祁解韦国强,男女七十学跟党。

网易考拉推荐

2016年2月6日  

2016-02-06 23:29:17|  分类: 默认分类 |  标签: |举报 |字号 订阅

  下载LOFTER 我的照片书  |
2016年月日 - 78jitong - 元旦快乐

WHY BIG DATA IS STILL IN ITS ADOLESCENCE!

There exists a viewpoint that big data has achieved maturity. From my perspective, there is still room to grow.

Traditional data management and data integration approaches continue to undergo changes that are disrupting and altering product offerings, or resulting in entirely new product offerings. Big data oriented analytic use cases are evolving rapidly, which will continue for the next 3 to 4 years. Organizations must revisit their data strategy and data architectures in order to prepare for the future.

Although the big data community continues to build knowledge through proven use cases, there remains room for growth and maturity. Often, big data oriented projects are approached in silos, or handled by a dedicated, autonomous team in the organization. This is beneficial in the near-term for proving out business use cases rapidly.

However, organizations eventually need to introduce synergy between existing data management teams and big data project teams once the big data projects transition from innovation and unpredictability to stability and predictability. This synergy is also essential for environments and products to ensure cost effectiveness. Best practices that have emerged from traditional data management projects should be infused into big data projects where they can evolve with the goal of establishing common standards across all data management initiatives.

This year (2016) brings a great deal of hope for innovation through big data projects as evidenced by the following signs:

  • Proven big data use cases and associated business benefits that will inspire organizations within the same industry to pursue those use cases.
  • Proven blueprints and reference architectures for big data industry oriented solutions that will serve as guidelines.
  • Increase in focus on big data security and governance.
  • Growing familiarity with big data environments, tools and skillsets
  • Organizations establishing Analytics Centers of Excellence to guide big data implementations
  • Realization by organizations of the importance of big data preparation and curation.
  • Data Strategies expanding to include big data use cases.
  • Unprecedented evangelism from the community for big data and it’s benefits

All the best in 2016!

 
  评论这张
 
阅读(20)| 评论(0)
推荐 转载

历史上的今天

在LOFTER的更多文章

评论

<#--最新日志,群博日志--> <#--推荐日志--> <#--引用记录--> <#--博主推荐--> <#--随机阅读--> <#--首页推荐--> <#--历史上的今天--> <#--被推荐日志--> <#--上一篇,下一篇--> <#-- 热度 --> <#-- 网易新闻广告 --> <#--右边模块结构--> <#--评论模块结构--> <#--引用模块结构--> <#--博主发起的投票-->
 
 
 
 
 
 
 
 
 
 
 
 
 
 

页脚

网易公司版权所有 ©1997-2017