by Angela Guess
John Bantleman, CEO of RainStor has written a guest post for Forbes regarding the costs of Big Data that must be accounted for. He writes, “Two key factors come into play regarding enterprise-scale Big Data management and analytics. First, Web innovators, such as Facebook, Google and Yahoo, have developed a massively scalable storage and compute architecture to manage Big Data: Hadoop, which parallelizes large data sets across low-cost commodity hardware for easy scale and dramatically reducing the cost of petabyte environments.”
Bantleman continues, “Second, the technology requirements to manage Big Data have moved from the domain of a few distinct markets, to increasing demand and unique requirements across a range of sectors. Communications operators that manage petabyte scale today expect 10-100x data growth due to the shift to 4G and LTE with increasing endpoint devices connected to leverage thousands of mobile apps. The utility smart grid is being plunged into Big Data as cities across the globe join the new “digitized grid.” Financial services institutions are seeing 100 percent compound growths in trading and options data, which must be stored for 7+ years. Over the next 3 to 5 years, Big Data will be a key strategy for both private and public sector organizations. In fact in the next 5 years, 50 percent of Big Data projects are expected to run on Hadoop.”
