Handbook of Big Data Technologies

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This handbook provides extensive insights into recent advancements in Big Data technologies, authored by leading international experts and meticulously reviewed for reader benefit. It comprises twenty-five chapters organized into four main parts. The first part addresses fundamental concepts, including data curation mechanisms, data models, storage models, programming models, and platforms, along with the implementation of Big SQL query engines and big stream processing systems. The second part delves into the semantic aspects of Big Data management, covering data integration, exploratory ad hoc analysis, structured querying, and pattern matching techniques. The third part offers a thorough overview of large-scale graph processing, discussing recent research and scalable graph querying and mining mechanisms in areas like social networks. The final part highlights novel applications enabled by the rise of Big Data technologies, such as the Internet of Things (IoT), Cognitive Computing, and SCADA Systems. Each section addresses open research problems and opportunities stemming from the rapid evolution of Big Data technologies and their increasing demands across various application domains. This book serves as a vital resource for researchers, IT professionals, and graduate students, contributing significantly to the expanding Big Data field, which is poised to impact numerous scientific disciplines and societal aspects in the co