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Big Data

Big Data

Big Data refers to extremely massive amounts of data. Normally, we work with data of MB (WordDoc,Excel) or GB (Movies, Codes), but data of Peta bytes, i.e. 10^15 byte size, is referred to as Big Data. These data come from many sources like Social networking sites, E-commerce site, Weather Station, Telecom company, Share Market and many more.

Big data is the set of technologies created to store, analyse and manage this bulk data, a macro-tool created to identify patterns in the chaos of this explosion of information in order to design smart solutions.Today's factories are becoming more complex and connected, creating new challenges that big data-powered automation can address. With the amount of big data coming from the IoT and modern computing systems, smart factories are rapidly improving efficiency, significantly improving uptime, accelerating production, and reducing errors.

Today Big Data is used in areas as diverse as medicine, agriculture, gambling and environmental protection. GPS system is the best example. Big Data drives the GPS smartphone applications that most of us rely on to go from point A to point B in the shortest period of time. Satellite imagery and government agencies are two sources of GPS data. International flights create massive amounts of data, on the order of 1,000 terabytes.

“There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days.” – By Eric Schmidt, Executive Chairman of Google

  • Improving warehouse processes
  • Elimination of bottlenecks
  • Predictive demand
  • Predictive maintenance
  • Improve efficiency

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