Distributed Computing in Big Data Analytics Concepts, Technologies and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mazumder, Sourav (Επιμελητής έκδοσης), Singh Bhadoria, Robin (Επιμελητής έκδοσης), Deka, Ganesh Chandra (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Scalable Computing and Communications,
• Θέματα: Computer science.; Computer communication systems.; Database management.; Electrical engineering.; Computer Science.; Computer Communication Networks.; Communications Engineering, Networks.; Database Management.; Information Systems Applications (incl. Internet).

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, d...

Πίνακας περιεχομένων:

• On the role of Distributed Computing in Big Data Analytics
• Fundamental Concepts of Distributed Computing used in Big Data Analytics
• Distributed Computing Patterns useful in Big Data Analytics
• Distributed Computing Technologies in Big Data Analytics
• Security Issues & Challenges in Big Data Analytics in Distributed Environment
• Application of Big Data Analytics Application in Climate Science
• Applying Distributed Computing in Cognitive Computing
• Distributed Computing in Social Media Analytics
• Utilizing Big Data Analytics for Automatic Building of Language-agnostic Semantic Knowledge Bases.