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Encyclopedia of Big Data Technologies
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SpringerLink (Online service)
Encyclopedia of Big Data Technologies
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Encyclopedia of Big Data Technologies/ edited by Sherif Sakr, Albert Zomaya.
other author:
Sakr, Sherif.
Description:
429 illus., 233 illus. in color. eReference.online resource. :
Contained By:
Springer Nature eReference
Subject:
Big data. -
Online resource:
https://doi.org/10.1007/978-3-319-77525-8
ISBN:
9783319775258
Encyclopedia of Big Data Technologies
Encyclopedia of Big Data Technologies
[electronic resource] /edited by Sherif Sakr, Albert Zomaya. - 1st ed. 2019. - 429 illus., 233 illus. in color. eReference.online resource.
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.
ISBN: 9783319775258
Standard No.: 10.1007/978-3-319-77525-8doiSubjects--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Encyclopedia of Big Data Technologies
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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.
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Reference Module Computer Science and Engineering (SpringerNature-43748)
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