Put simply, Big Data is likely to cost more than the MBAs, the venture capitalists, faux information government consultants, et al assumed.
![gartner hype cycle 2014 deutsch gartner hype cycle 2014 deutsch](https://cdn.pressebox.de/r/5c125d547f8ac947/attachments/60/44/22/thumbnail_604422_580x300.jpg)
I thought that Big Data was a silver bullet, a magic jinni, a miracle, etc.
![gartner hype cycle 2014 deutsch gartner hype cycle 2014 deutsch](https://i0.wp.com/softwarestrategiesblog.com/wp-content/uploads/2012/08/hype-cycle-for-cloud-computing-20121.jpg)
But with time.the tools get better, the economics improve, business practices adapt and the technology eventually gets diffused and democratized into the mainstream. A new technology emerges and initially it is mastered by an elite few. The big-data challenge today fits a familiar pattern. Data scientists.spend from 50 percent to 80 percent of their time mired in mundane labor of collecting and preparing unruly digital data, before it can be explored for useful nuggets. “Big data” offers a contemporary case study. Lab science and marketing enthusiasm tend to underestimate the bottlenecks to progress that must be overcome with hard work. You still need smart people, as Steve Lohr explains: In other words, Big Data isn't some magical beast that'll fix all your woes.
#GARTNER HYPE CYCLE 2014 DEUTSCH HOW TO#
puts in context the increasingly pragmatic views of organizations as they focus less on definitions.than on how to get business value from big data, how to create a big data strategy, and how to exploit analytics, data science and security to achieve productivity.
![gartner hype cycle 2014 deutsch gartner hype cycle 2014 deutsch](https://1.bp.blogspot.com/-hSPlm-YD5_0/V7YKnK4k5XI/AAAAAAAAhjI/g0x1qtkMw-Yt-m5RYCMut6tpTzr3ALVdACPcB/s1600/Gartner%27s%2B2016%2BHype%2BCycle%2Bfor%2BEmerging%2BTechnologies.gif)
This does not imply that all profiles related to big data are moving to the trough rather, the adoption of big data technologies, services and disciples has increased and has resulted in their first successes and failures. The hype and interest in information and data is shifting from supporting and managing "big data" to actually using information and data to make business decisions. While interest in big data remains undiminished, it has moved beyond the peak because the market has settled into a reasonable set of approaches, and the new technologies and practices are additive to existing solutions.