Encyclopedia Of Big Data Technologies [ PRO • Workflow ]

The encyclopedia is designed for rapid discovery and in-depth research, featuring:

: Core sections cover big data storage (NoSQL), cloud computing, distributed systems, data processing, machine learning, and social technologies. Core Technological Domains

: Extensive internal links between topics allow users to navigate complex relationships between different technologies efficiently. Encyclopedia of Big Data Technologies

The , published by Springer Nature in 2019, is a monumental 1,908-page reference work. Edited by Sherif Sakr and Albert Zomaya, it serves as a comprehensive authority on the concepts, systems, and methodologies that define the modern data landscape. Key Features & Content

: Each article provides basic terminology, subject overviews, key research results, application examples, future research directions, and a full bibliography. The encyclopedia is designed for rapid discovery and

The work systematically addresses the "3V's" of Big Data——through several specific technological lenses:

Encyclopedia of Big Data Technologies | Springer Nature Link Edited by Sherif Sakr and Albert Zomaya, it

: Detailed essays and definitions contributed by international subject matter experts from both academia and industry.