An Overview of Milestones of Big Data Analytics in Clinical and Medical Analysis

The technological advancements makechanges during availability of knowledge in a huge way. As thevolume of data is increasing exponentially, there is a need forbetter management of data to research and industry. Thisdata, referred to as Big Data, is now employed by variousorganizations to extract valuable information whichmay reanalyzed computationally to reveal patterns, trends andassociations revealing the human interaction and behavior formaking various industrial decisions But the data must beoptimized, integrated, secured and visualized to make anyeffective decision. Analyzing of the large volume of data is notbeneficial always unless it is analyzed properly. The existingtechniques are insufficient to analyze the large Data and identifythe frequent services accessed by the cloud users. Variousservices can be integrated to provide a better environment to workin emergency cases pretty earlier. Using these services, peoplebecome widely vulnerable to exposure. The data is large andprovides an insight in to future predictions, whichcould definitely prevent maximum medical cases fromhappening. But without big data analytics techniques andtherefore the Hadoop cluster, this data remains useless. Throughthis paper, we'll explain how real time data may be useful toresearch and predict severe