Today’s roundup is going to focus on how big data has proved efficient in event processing, what are the distinctive differences between Hadoop and big data and the basics of Deep Learning.
Apparently, big data analytics is the ‘new oil’. Even a few years ago, if you would have asked someone what is the most valuable resource, he or she would have replied OIL, but now the entire dynamics have changed and data has become the most vital resource of the century. It is influencing myriad industry verticals and event processing is no different. Read more.
Machine learning plays a dominant role in the 21st century; from web searches to social media shenanigans to content filtering to e-commerce, machine learning systems are being leveraged tremendously. Deep learning is a new subset of machine learning that is inspired by the structure of the human brain. It imitates cognitive abilities and diminishes human supervision. Watch the video and learn more.
Known to all, big data refers to a huge amount of data. It speaks of volumes and varieties of recorded information. On the other hand, Hadoop is the programming framework that is required to derive insights from big data. Put simply, the latter is the preferred tool that companies leverage to deal with big data. Read more.
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