大数据岗位有望迎来大爆炸

    斯伯热称：“我们现在看到的现象还只是冰山一角。你可以想想现在各种类型的工作，与每个人工作息息相关的各种数据将会怎样改变工作本身及人们所需的技能？”

    斯伯热表示，这种转变会要求对现有岗位进行再培训，同时也会出现新职位和新技能，比如“首席数据官”就会成为大大小小的企业里司空见惯的职位。这些岗位也并不一定就非要资深数据分析专家才能胜任，那些在各自行业中受过良好教育、经验丰富的非数据专家只要能善于使用大数据工具就能行（正像西格曼在上文中所说，这些工具对非专业人士来说将变得更容易上手）。

    现在的企业如能配置更多大数据资源——既有人也有技术——充分利用好大数据，就能实现扩张。但激动人心的增长机会不一定来自现有企业进行重整以利用大数据，而是蓬勃兴起的大数据行业中深度分析的工作机会大增可能会产生最大的经济影响。

    西格曼表示，就像很多其他专业工作都不由核心行业来完成一样——比如广告业和市场营销业，后者就正被大数据分析所彻底改造——大量大数据应用工作也将外包给大数据分析和问题解决的专业公司。现在为了满足这种需求，已涌现出了大量大数据分析创业公司（多数是在风险投资的帮助下建立的），包括MapR, ParStream, ScaleArc和 Cloudant。未来几年，大数据将催生大量工作岗位，而那些能最好地满足客户数据分析需求的企业必将成为提供这些岗位的大本营。（财富中文网）

    译者：清远  

    "What we're seeing now is the tip of the iceberg," Spohrer says. "You think of all the different jobs that exist today. How is all the data associated with each person's job going to change the job and the skills they need?"

    Part of this shift will simply require the retooling of existing jobs, but there is also a new class of positions and skills emerging as well, Spohrer says, positions like "chief data officer" that will become more common within existing companies large and small. These jobs won't necessarily be occupied by deep analytics-types either, but by non-data professionals educated and experienced in their chosen industry while also skilled in the use of big data tools (which, as Sigman noted above, will only become easier for non-data professionals to use).

    Existing companies will expand as they deploy more big data resources -- both human and technological -- to leverage big data to their advantage. But the space to watch isn't necessarily existing companies reorganizing to embrace big data, but the emerging big data industry where deep analytical job growth is likely to make its biggest economic impacts.

    As with so many other specialized endeavors that fall outside the purview of core business -- things like advertising and marketing, the latter of which is itself being completely transformed by big data analytics -- many big data applications will be farmed out to outside contractors who specialize in big data analysis and problem solving, Sigman says. Scores of big data startups are already emerging (largely with the help of venture capital) to meet this demand, including MapR, ParStream, ScaleArc, and Cloudant. The ones who are able to best meet their customers' data analytics needs are poised to become home to many of those many millions jobs big data will generate over the next few years.