Albert Zomaya is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies, University of Sydney. Dr. Zomaya published more than 500 scientific papers and articles and is author, co-author or editor of more than 20 books. He served as the Editor in Chief of the IEEE Transactions on Computers (2011-2014) and was elected recently as a Founding Editor in Chief for the newly established IEEE Transactions on Sustainable Computing. Dr. Zomaya also serves as an associate editor for more than 20 leading journals. He is Fellow of AAAS, IEEE, and IET.


Sherif Sakr is currently a professor of computer and information science in the Health Informatics department at King Saud bin Abdulaziz University for Health Sciences. He is also affiliated with the University of New South Wales and DATA61/CSIRO. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. Dr. Sakr held visiting appointments in several academic and research institutes including Microsoft Research (2011), Alcatel-Lucent Bell Labs (2012), University of Zurich (2016) and TU Dresden (2016). His current research is revolved around advanced big data management and processing technologies. In addition to his dozens of peer-reviewed articles in reputable conferences and journals, he is the author and editor of several valuable books in this domain.

Provides essential reader insight into the vast potential power and value of Big Data resources

Offers the reader a comprehensive examination of Big Data technologies

Inspects both theoretical and practical aspects of Big Data platforms

Describes use cases and applications of Big Data technologies within various domains

Includes supplementary material: [...]

Big Data Storage Models.- Big Data Programming Models.- Programming Platforms for Big Data Analysis.- Big Data Analysis on Clouds.- Data Organization and Curation in Big Data.- Big Data Query Engines.- Unbounded Data Processing.- Semantic Data Integration.- Linked Data Management.- Non-native RDF Storage Engines.- Exploratory Ad-hoc Analysis for Big Data.- Pattern Matching over Linked Data Streams.- Searching the Big Data Practices and Experiences in Efficiently Querying Knowledge Bases.- Management and Analysis of Big Graph Data.- Similarity Search in Large-Scale Graph Databases.- Big Graphs Querying, Mining, and Beyond.- Link and Graph Mining in the Big Data Era.- Granular Social Network Model and Applications.- Big Data, IoT and Semantics.- SCADA Systems in the Cloud.- Quantitative Data Analysis in Finance.- Emerging Cost Effective Big Data Architectures.- Bringing High Performance Computing to Big Data.- Cognitive Computing where Big Data is Driving.- Privacy-Preserving Record Linkage for Big Data.