Big Data And Bare Metal Essay

939 WordsJul 9, 20154 Pages
Big Data and Bare Metal TOC & EXEC SUMARY GOES HERE ONCE PAPER COMPLETED Introduction The industry is inundated with articles on big data. Big data news is no longer confined to the technical web pages. You can read about big data in the mainstream business publications such as Forbes and The Economist. Each week the media reports on breakthroughs, startups, funding and customer use cases. No matter your source for information on big data, one thing they all have in common is that the amount of information an organization will manage is only going to increase; this is what’s driving the ‘big data’ movement. Organizations are relying on increasing amounts of information from a variety of sources, text, images, audio, video, etc., to analyze, improve and execute their operations. These information sources are very large and complex and include data sets that are structured and unstructured and today’s processing applications are inadequate and expensive. Industries suffering from big data challenges include the financial services, healthcare, retail, and communications, to name a few. These industries have been collecting data for years and with the advent of the ‘Internet of Things’ data is growing exponentially. The challenge is how to make sense of this data and turn it into business value – analytics and predictive analytics. The big data phenomenon is about collecting and storing large amounts of data and running analytics application ns on these large datasets.
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