Interested in Using Big Data Like LinkedIn?

Who doesn’t know linkedin? This professional social media platform has helped many people get better career opportunities. It is recorded that every minute there are three people who manage to get a job through linkedin. As many as 40% of workers in the united states also managed to earn more than the average due to their network on linkedin. So, how exactly does linkedin help millions of professionals around the world? In this article, we will examine how linkedin’s features are created and how big data plays a role in it. Curious? Come on, let’s continue reading. Contents hide 1 linkedin at a glance 2 how linkedin uses big data? 3 some of the data products linkedin owns 3.1 people you may know 3.2 skill endorsements 3.3 jobs you may be interested in 4 interested in using big data like linkedin? Linkedin at a glance linkedin is a social media platform that was first released in 2003. From its inception, linkedin was deliberately designed for professionals. Because, he has a main vision to open up economic opportunities for people around the world. The method is quite simple.

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That is, by letting them network and share. Despite its seemingly simple implementation, linkedin has successfully connected more than 774+ million people from 200 countries. In indonesia alone, there are more than 18 million people found to have linkedin accounts. Linkedin user data as a social media platform, linkedin also has various sources of income. Starting from paid Belgium B2B List membership, advertising, and special features for employee recruitment. No wonder because it is so promising, in december 2016 microsoft decided to fully acquire linkedin. Also read: what is the importance of d ata and information for business? How linkedin uses big data?

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Like most online platforms, linkedin also processes its user data for various reasons. Including making it material for making various features, up to selling it back into other forms of services such as linkedin ads. Also read: big data, here’s the definition, examples, and how it works! Well, initially linkedin will record various data from its user profiles. Then send the data to a system Mobile Lead called hadoop distributed file system (hdfs). This system will manage data processing and storage for the big data applications. Until finally, linkedin will collect all data from its more than 50 offline data flows. Due to the large number of datasets, linkedin then performs batch processing through the teradata database. With an ever-growing dataset, linkedin certainly needs to build a number of data infrastructures to keep it running optimally.

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