However there are a lot of examples of companies that

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However, there are a lot of examples of companies that were into ‘big data’ before it was called ‘big data’ — a term coined in 1998 by two researchers. • But, what exactly is ‘big data’ ? In short, the term ‘big data’ applies to information that can not be processed or handled using traditional processes or tools. Big data is an architecture and most related challenges are IT focused!
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Characteristics Of big Data
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Characteristics of Big Data The following characteristics known as ‘the four Vs’ or ‘V4 ’ — provide one standard definition of big data: ‘Volume’ : ‘data at rest’, i.e. the amount of data ( ‘data explosion problem’); ‘Variety’ : ‘data in many forms’, i.e. different types of data (e.g. structured, semi-structured and unstructured, e.g. text, web or multimedia data such as images, videos, audio) , data sources (e.g. internal, external, public) and data resolutions; ‘Velocity’ : ‘data in motion’, i.e. the speed by which data are generated and need to be handled; ‘Veracity’ : ‘data in doubt’, i.e. the varying levels of noise and processing errors.
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Data Science Hype The demand for ‘data scientists’ — the ‘magicians of the big data era’ — is unprecedented in sectors where value, competitiveness and efficiency are driven by data. • The Data Science Association defined in October 2013 the terms ‘data science’ and ‘data scientists’ within their Data Science Code of Professional Conduct as follows: Data science is the scientific study of the creation, validation and transformation of data to create meaning. A data scientist is a professional who uses scientific methods to liberate and create meaning from raw data.
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Data Science Hype The term ‘data science’ was originally coined in 1998 by the statistician Chien-Fu Jeff Wu when he gave his inaugural lecture at the University of Michigan. Wu argued that statisticians should be renamed data scientists since they spent most of their time manipulating and experimenting with data. • In 2001, the statistician William S. Cleveland introduced the notion of data science as an independent discipline. Cleveland extended the field of statistics to incorporate ‘advances in computing with data’ in his article ‘Data science: an action plan for expanding the technical areas of the field of statistics’ (International Statistical Review, 69, 21 26).
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Data Science Hype Although the term data scientist may be relatively new, this profession has existed for a long time! • For example, Napoleon Bonaparte (‘Napoleon I’) used mathematical models to help make decisions on battlefields. These models were developed by mathematicians Napoleon’s own data scientists !
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  • Spring '17
  • azmat fatma
  • Data Management, Statistical hypothesis testing, Data Scientist

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