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      Application of Big Data in Petroleum Streams

      1 in stock

      Firm sale: non returnable item
      SKU 9781032028965 Categories ,
      The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum associated operations in a concise manner that aids the reader to apprehend the overview of big data’s role in the industry.<b...

      £84.99

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      Description

      Product ID:9781032028965
      Product Form:Hardback
      Country of Manufacture:GB
      Title:Application of Big Data in Petroleum Streams
      Authors:Author: Jay Gohil, Manan Shah
      Page Count:168
      Subjects:Extractive industries, Mining industry, Applied mathematics, Physics: Fluid mechanics, Energy, Energy technology and engineering, Environmental science, engineering and technology, Information technology: general topics, Computer science, Applied mathematics, Fluid mechanics, Energy, Energy technology & engineering, Environmental science, engineering & technology, Information technology: general issues, Computer science
      Description:The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum associated operations in a concise manner that aids the reader to apprehend the overview of big data’s role in the industry.

      The book aims to provide comprehensive knowledge and information pertaining to application or implementation of big data in the petroleum industry and its operations (such as exploration, production, refining and finance).

      The book covers intricate aspects of big data such as 6Vs, benefits, applications, implementation, research work and real-world implementation pertaining to each petroleum-associated operation in a concise manner that aids the reader to apprehend the overview of big data’s role in the industry.

      The book resonates with readers who wish to understand the intricate details of working with big data (along with data science, machine learning and artificial intelligence) in general and how it affects and impacts an entire industry. As the book builds various concepts of big data from scratch to industry level, readers who wish to gain big data-associated knowledge of industry level in simple language from the very fundamentals would find this a wonderful read.


      Imprint Name:CRC Press
      Publisher Name:Taylor & Francis Ltd
      Country of Publication:GB
      Publishing Date:2022-05-09

      Additional information

      Weight492 g
      Dimensions253 × 179 × 17 mm