Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications.
To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.
Les mer
Part I: Big Data Science
Part II: Big Data Infrastructures and Platforms
Part III: Big Data Security and Policy
Part IV: Big Data Applications
Explains the key algorithms, tools, technologies, and best practices that enable Big Data platforms for numerous scientific, business, and consumer applications
Explains the key algorithms, tools, technologies, and best practices that enable Big Data platforms for numerous scientific, business, and consumer applications
Covers computational platforms supporting Big Data applications
Addresses key principles underlying Big Data computing
Examines key developments supporting next generation Big Data platforms
Explores the challenges in Big Data computing and ways to overcome them
Contains expert contributors from both academia and industry
Les mer
Produktdetaljer
ISBN
9780128053942
Publisert
2016-06-09
Utgiver
Vendor
Morgan Kaufmann Publishers In
Vekt
1040 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
494