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Big data [electronic resource] : related technologies, challenges and future prospects

Big data [electronic resource] : related technologies, challenges and future prospects

자료유형
E-Book(소장)
개인저자
Chen, M. (Min), 1969-.
서명 / 저자사항
Big data [electronic resource] : related technologies, challenges and future prospects / Min Chen ... [et al.].
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
형태사항
1 online resource (xii, 89 p.) : ill.
총서사항
SpringerBriefs in computer science,2191-5768
ISBN
9783319062457
요약
This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
일반주기
Title from e-Book title page.  
내용주기
Introduction -- Related Technologies -- Big Data Generation and Acquisition -- Big Data Storage -- Big Data Analysis -- Big Data Applications -- Open Issues and Outlook.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Big data. Database management. Data mining.
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020 ▼a 9783319062457
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245 0 0 ▼a Big data ▼h [electronic resource] : ▼b related technologies, challenges and future prospects / ▼c Min Chen ... [et al.].
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xii, 89 p.) : ▼b ill.
490 1 ▼a SpringerBriefs in computer science, ▼x 2191-5768
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Introduction -- Related Technologies -- Big Data Generation and Acquisition -- Big Data Storage -- Big Data Analysis -- Big Data Applications -- Open Issues and Outlook.
520 ▼a This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Big data.
650 0 ▼a Database management.
650 0 ▼a Data mining.
700 1 ▼a Chen, M. ▼q (Min), ▼d 1969-.
830 0 ▼a SpringerBriefs in computer science.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-06245-7
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 005.7 등록번호 E14033293 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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