by Eric H
Big Data which means a large dataset. Companies have been dealing with big data since the long time ago, but it was expensive so only large companies were able to utilize these big data. But as compute ring and storage became cheaper, and it became possible for smaller companies to harvest these data (Jeremy Edberg, 2012). And the next big leap in the data world is the concept of cloud computing, with cloud computing we can use thousands of virtual computer to do the data mining for us, and not have to worry about the maintain and initial cost of acquiring computing and storage (Jeremy Edberg, 2012). Google utilize big data
better than many other companies, Google has massive amount of computing power (Jeremy Edberg, 2012). As virtualized computing becomes more popular, could big data technologies such as MapReduce, Hadoop, Hive, and MapReduce allows the division of worlds across servers located in different locations.
I personally have never worked with big data before, but i do know that the computing power we have now is much more powerful at a really cheap costs compared to few years ago. I am sure this is great for smaller companies that have limited resources. And on top on these there are the new cloud computing which you can rent or lease for data mining, making handling big data even more cost effect.
Jeremy Edberg. (2012, 1 04). Big data: Why all the fuss?. . Retrieved from http://www.informationweek.com/news/global-cio/interviews/232301236