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With the increasing volume, variety and velocity of data continuing to reach unprecedented levels, big data is now a reality that needed to be addressed effectively. This exceptional growth of data requires that you not only understand big data to decipher the information that counts. The use of Big Data is becoming a crucial way for leading companies to outperform their peers. In most industries, established competitors and new entrants leverage data-driven strategies to innovate, compete, and capture value. Big Data is the foundation for creating new levels of business value. With integrated storage, analytics, and applications, Big Data helps drive efficiency, quality, and personalized products and services, producing higher levels of customer satisfaction and experience. However, big data presents a number of challenges due to its complexity. Big data is complex because of the variety of data that it encompasses – from structured data, such as transactions we make or measurements we calculate and store, to unstructured data such as text conversations, multimedia presentations and video streams. Big data is complex because of the speed at which it’s delivered and used, such as in “real-time.” And obviously, big data are complex because of the volume of information we are creating. As your data build within multiple data stores in abundant formats, you may find your organization has accumulated billions of rows of data with hundreds of millions of data combinations. The recent data explosion is likely to make life difficult in many industries, and those companies that can adapt well and gain the ability to analyze such data will have a considerable advantage over those that lag. New skill sets are going to be needed, and these skills will be scarce. Companies need to explore the newer approaches to handling large data volumes and begin to understand the limitations and challenges that come with technologies like Hadoop and NoSQL databases, if they are to avoid being swept away by the big data tidal wave. So the solution to the big data challenge then becomes obvious – big data requires high-performance analytics to process and figure out what's important and what's not. Business Critical Big Data Applications help create new growth opportunities and entirely new categories of companies, such as those that aggregate and analyses industry data. Forward-thinking leaders across sectors can effectively build their organizations Big Data capabilities. Read More About: Dedicated Server Search, How Big Data Applications View The World, Nanopositioning For Storage Applications, robotics for medical applications, Storage Server Platforms
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