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sakr sherif (curatore); zomaya albert (curatore) - encyclopedia of big data technologies

Encyclopedia of Big Data Technologies


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Lingua: Inglese


Pubblicazione: 03/2019
Edizione: 1st ed. 2019


The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science.  Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.




Big Data Integration; Big SQL; Big Spatial Data Management; Big Semantic Data Processing; Big Data Analysis; Big Data Programming Models; Big Data on Modern Hardware Systems; Big Data Applications; Enabling Big Data Technologies; Big Data Transaction Processing; Distributed Systems for Big Data; Big Data Security and Privacy
Business Process Analytics; Big Data Benchmarking; Graph data management and analytics; Data Compression; Big Stream Processing


Editorial Board:

Sherif Sakr (Editor-in-Chief), Institute of Computer Science, University of Tartu, Tartu, Estonia  

Albert Y. Zomaya (Editor-in-Chief), School of Information Technologies, Sydney University, Sydney, Australia


Pramod Bhatotia, School of Informatics, University of Edinburgh, Edinburgh, UK

Rodrigo N. Calheiros, School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW, Australia

Aamir Cheema, Monash University, Australia

Jinjun Chen, School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia

Philippe Cudré-Mauroux, eXascale Infolab, University of Fribourg, Fribourg, Switzerland

Marcos Dias de Assuncao, Inria, LIP, ENS Lyon, Lyon, France

Marlon Dumas, Institute of Computer Science, University of Tartu, Tartu, Estonia

Paolo Ferragina, Department of Computer Science, University of Pisa, Pisa, Italy

George Fletcher, Technische Universiteit Eindhoven, Eindhoven, Netherlands

Olaf Hartig, Linköping University, Linköping, Sweden

Bingsheng He, National University of Singapore, Singapore

Asterios Katsifodimos, TU Delft, Delft, Netherlands

Alessandro Margara, Politecnico di Milano, Milano, Italy

Kamran Munir, Computer Science and Creative Technologies, University of the West of England, Bristol, UK

Behrooz Parhami, Department of Electrical and Computer Engineering, University of California, Santa Barbara, CA, USA

Antonio Pescapè, Department of Electrical Engineering and Information Technology, University of Napoli Federico II, Napoli, Italy

Meikel Poess, Server Technologies, Oracle, Redwood Shores, California, United States

Deepak Puthal, Faculty of Engineering and Information Technologies, School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia

Tilmann Rabl, Technische Universität Berlin, Database Systems and Information Management Group, Berlin, Germany

Mohammad Sadoghi, University of California, Davis, CA, USA

Timos Sellis, Swinburne University of Technology, Data Science Research Institute, Hawthorn, Victoria, Australia

Domenico Talia, University of Calabria, Italy

Maik Thiele, Database Systems Group, Technische Universität Dresden, Dresden, Saxony, Germany

Yuanyuan Tian, IBM Almaden Research Center, SAN JOSE, CA, United States

Paolo Trunfio, University of Calabria, DIMES, Rende, Italy

Hannes Voigt, Dresden Database Systems Group, Technische Universität Dresden, Dresden, Germany

Matthias Weidlich, Humboldt-Universität zu Berlin, Department of Computer Science, Berlin, Germany

Fatma Özcan, IBM Research – Almaden, San Jose, CA, USA


Sherif Sakr is the Head of Data Systems Group at the Institute of Computer Science, University of Tartu. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. During his career, Prof. Sakr held appointments in several international and reputable organizations including University of New South Wales, Macquarie University, Data61/CSIRO, Microsoft Research, Nokia Bell Labs and King Saud bin Abdulaziz University for Health Sciences. 

Prof. Sakr's research interest is data and information management in general, particularly in big data processing systems, big data analytics, data science and big data management in cloud computing platforms. Prof. Sakr has published more than 100 refereed research publications in international journals and conferences such as: Proceedings of the VLDB endowment (PVLDB), IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Service Computing (IEEE TSC), IEEE Transactions on Big Data (IEEE TBD), ACM Computing Survey (ACM CSUR), Journal of Computer, Systems and Science (JCSS), Information Systems, Cluster Computing, Grid Computing, IEEE Communications Surveys and Tutorials (IEEE COMST), IEEE Software, Scientometrics, VLDB, SIGMOD, ICDE, EDBT, WWW, CIKM, ISWC, BPM, ER, ICWS, ICSOC, IEEE SCC, IEEE Cloud, TPCTC, DASFAA, ICPE and JCDL. Prof. Sakr Co-authored 5 books and Co-Edited 3 other books in the areas of data and information management and processing. Sherif is an associate editor of the cluster computing journal and Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS). He is also an editorial board member of many

Altre Informazioni



Condizione: Nuovo
Dimensioni: 254 x 178 mm Ø 4227 gr
Formato: Copertina rigida
Illustration Notes:XLVI, 1820 p. 429 illus., 233 illus. in color. In 2 volumes, not available separately.
Pagine Arabe: 1820
Pagine Romane: xlvi

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