Now a day's big data is an important topic in corporate as well as in academics. The root of big data is the ability to study and analyze large sections of information to search for patterns and finding the trends. The root of big data is analytics, After applying the analytics in will lead to many findings that were undiscovered before. Big data simply take existing data and looks into a different way. Deep data on the other hand gathered data on daily basis and lined it with experts of industry. The main role of deep data is to section down the massive amount of data in Exabyte's or perabytes exclude the information that is duplicate or use less. But there are many challenges in switching the current scenario from Big data to Deep data. We have many machine learning approaches that can be applied to Big data. Deep learning is one of those machine learning approaches. But there are many challenges that are to be addressed. The objective is to discuss the various challenges in analyzing Big data as well as Deep data using Deep learning.
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