| ISBN13: | 9781032029016 |
| ISBN10: | 1032029013 |
| Binding: | Paperback |
| No. of pages: | 182 pages |
| Size: | 246x174 mm |
| Language: | English |
| Illustrations: | 54 Illustrations, black & white; 54 Line drawings, black & white; 25 Tables, black & white |
| 700 |
Mathematics in general
Applied mathematics
Engineering in general
Chemical engineering and industry
Energy industry
Theory of computing, computing in general
Environmental sciences
Mechanics
Mining
Agribusiness
Mathematics in general (charity campaign)
Applied mathematics (charity campaign)
Engineering in general (charity campaign)
Chemical engineering and industry (charity campaign)
Energy industry (charity campaign)
Theory of computing, computing in general (charity campaign)
Environmental sciences (charity campaign)
Mechanics (charity campaign)
Mining (charity campaign)
Agribusiness (charity campaign)
Application of Big Data in Petroleum Streams
GBP 45.99
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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.
1 Introduction; 2 Petroleum Operations; 3 Big Data?s 6Vs; 4 Benefits of Big Data; 5 Applications of Big Data; 6 Implementation of Big Data; 7 Big Data Platforms; 8 AI Algorithms; 9 Research on Big Data; 10 Real-World Implementation of Big Data; 11 Traits of Companies with Superior Big Data Implementation; 12 Challenges of Big Data; 13 Future Scope of Big Data; 14 Conclusion
