Big Data: Sources and Best Practices for Analytics

Abstract

Cyber-PHY, IoT, sensor networks, Robotics (thick and server-less mobile applications), real-time network applications (thin clouds clients) can generate large arrays of unmanaged, weakly structured, and non-configured data of various types, known as "Big Data". With the acceleration of industrial development "Industry 4.0" processing of such data became considerably more complicated. However, so-called problem "Big Data" is hard to solve or resist nowadays! The paper discusses the Best Practises and Case Studies aimed to overcoming of the Big Data problematics.