Big Data is called Big Data for a reason – there is lots of it.
Combing over the abstracts for those 2 million papers using a big data technique called natural language processing, they isolated terms that spiked in use in 2014.
Another study [95] presented a theorem to explain the big data characteristics, called HACE: the characteristics of big data usually are large-volume, Heterogeneous, Autonomous sources with distributed and decentralized control, and we usually try to find out some useful and interesting things from complex and evolving relationships of data.
This paper has presented a 2D approach for visualizing big hierarchical data, called Cabinet Tree.
He started the app as a side project, funding it out of Omidea, an angel investor fund he bootstraps himself, which also includes a couple of other projects, including a PM tool called Kontup and a forthcoming big data analysis tool called Docpivot, expected out next year.
In addition, there are some characteristics and features of big data that are called the Vs of big data management.
Organizations are experiencing exponential growth in the amounts of data they create, capture, and retain within their in-house facilities, as well as that are maintained in the cloud in the current big data world, thus call for advanced analytics techniques dealing with them [35].
Those meters generate lots of data -- big data, as we call in in the technology industry -- and it has to go somewhere and be managed by someone.
On Thursday morning, I listened to an interview with the CEO of "a big data intelligence company" called Dstillery; it "demystifies consumers' online footprints" to target them with ads.
It also attacks Facebook's analysis of users through what it calls "big data" systems.
