Handbook of Big Data Technologies

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Handbook of Big Data Technologies


Data and storage models are the basis for big data ecosystem stacks. While storage model captures the physical aspects and features for data storage, data model captures the logical representation and structures for data processing and management. Understanding storage and data model together is essential for understanding the built-on big data ecosystems. In this chapter we are going to investigate and compare the key storage and data models in the spectrum of big data frameworks.

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Handbook of Big Data Technologies (edited by Albert Y. Zomaya and Sherif Sakr) is an exciting and well-written book that deals with a wide range of topical themes in the field of Big Data. The book probes many issues related to this important and growing field—processing, management, analytics, and applications. Today, we are witnessing many advances in Big Data research and technologies brought about by developments in big data algorithms, high performance com- puting, databases, data mining, and more. In addition to covering these advances, the book showcases critical evolving applications and technologies. These devel- opments in Big Data technologies will lead to serious breakthroughs in science and engineering over the next few years. I believe that the current book is a great addition to the literature. It will serve as a keystone of gathered research in this continuously changing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies. The book will be well received by the research and development community and will be beneficial for researchers and graduate students focusing on Big Data. Also, the book is a useful reference source for practitioners and application developers. Finally, I would like to congratulate Profs. Zomaya and Sakr on a job well done! Sartaj Sahni