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Can I read Handbook of Big Data Technologies on EtoBox?
Handbook of Big Data Technologies by Sahni, Sartaj; Sakr, Sherif; Zomaya, Albert Y (eds.) is a nonfiction available to read on EtoBox.
What is Handbook of Big Data Technologies about?
"This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT),
Who reads Handbook of Big Data Technologies?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sahni, Sartaj; Sakr, Sherif; Zomaya, Albert Y (eds.)
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2017
- Language
- EN
- ISBN
- 9783319493404
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Management
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