Big data is typically broken down by three characteristics, including volume (how much data), velocity (how fast that data is processed), and variety (the various types of data).
Found in: Hurwitz, J., Nugent, A., Halper, F. & Kaufman, M. (2013) Big Data For Dummies. Hoboken, New Jersey, United States of America: For Dummies. ISBN: 9781118504222.
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☢️ Big Data. ☢️ Data Markets. Industry 4.0. Current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing Industry 4.0 is the subset of the fourth industrial revolution[1] that concerns industry. The fourth industrial revolution encompasses areas which are not normally classified as industry, such as smart cities, for instance. Although the terms "industry 4.0" and "fourth industrial revolution" are often used interchangeably, "industry 4.0" factories have machines which are augmented with wireless connectivity and sensors, connected to a system that can visualise the entire production line and make decisions on its own.
In essence, industry 4.0 is the trend towards automation and data exchange in manufacturing technologies and processes which include cyber-physical systems (CPS), the internet of things (IoT), industrial internet of things (IIOT)[2], cloud computing [3][4][5][6], cognitive computing and artificial intelligence. 1. 2. 3. Dataism. Ideology created by big data History[edit] In 2015, Steve Lohr's book Data-ism looked at how Big Data is transforming society, using the term to describe the Big Data revolution.[4][5] In his 2016 book Homo Deus: A Brief History of Tomorrow, Yuval Noah Harari argues that all competing political or social structures can be seen as data processing systems: "Dataism declares that the universe consists of data flows, and the value of any phenomenon or entity is determined by its contribution to data processing" and "we may interpret the entire human species as a single data processing system, with individual humans serving as its chips.
"[2][6] According to Harari, a Dataist should want to "maximise dataflow by connecting to more and more media". Dataism responds to the intricacy and interconnectedness of modern social, economic, and technological realms, which exceed individual understanding. Criticism[edit] See also[edit] References[edit] External links[edit] Big Data History.
◆ Big Data. [org] Big Data. [db] Big Data. [J] Big Data. [C] Big Data. [B] Big Data. Big Data Events in London.