Linkedin big data in social media

LINK :https://www.bernardmarr.com/default.asp?contentID=727
How LinkedIn uses Big Data in practice
LinkedIn tracks every move users make on the site, and the company analyses this mountain of data in order to make better decisions and design data-powered features. Clearly, LinkedIn uses Big Data right across the company, but here are just a couple of examples of it in action.
Like other social media networks, LinkedIn uses data to make suggestions for users (“people you may know”). LinkedIn uses machine learning techniques to refine its algorithms and make better suggestions for users. So, if the site regularly suggested people you may know from Company A (which you worked at nine years ago) and Company B (which you worked at four years ago), but you almost never clicked on the company A profiles, LinkedIn would tailor its suggestions going forward with that in mind. This personalised approach enables users to build the networks that work best for them.
Also, the site is constantly gathering and displaying new data for users. LinkedIn uses stream-processing technology to display the most up-to-date information when users are on the site – from who got a new job to useful articles that contacts have shared. Not only does this constant streaming of data add interest, it also speeds up the analytic process. Instead of capturing data and storing it to be analysed at a later time, real-time stream-processing technology allows LinkedIn to stream data direct from the source (user activity) and analyse it on the fly.

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