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 250 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.

Presents 300+ entries covering key concepts and terms in the broad field of machine learning Updates and informs through in-depth essays and definitions, historical background, key applications, and bibliographies Supports quick and efficient discovery of information through extensive cross-references Opens the field to those inquiring into this fast-growing area of research Includes supplementary material: sn.pub/extras

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