9780692599570 - big data appliances for in-memory computing: a real-world research guide for corporations to tame and wrangle their data von pulipaka, dr. ganapathi (3 Ergebnisse)
Sprache: Englisch
Verlag: High Performance Computing Institute of Techn, 2015
- Softcover
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USAThriftBooks-Atlanta
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Gut
EUR 11,78
Versand gratisVersand innerhalb von USAAnzahl: 1 verfügbar
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
- Softcover
Anbieter: moluna, Greven, Deutschlandmoluna
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 19,78
EUR 48,99 VersandVersand von Deutschland nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. Über den AutorAcademia Ganapathi Pulipaka is research scholar in Computer and Information Systems who holds a Professional Doctorate Degree in Information Systems and Enterprise Resource Management from California Intercon.
Sprache: Englisch
Verlag: High Performance Computing Institute Of Technology Dez 2015, 2015
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 23,17
EUR 61,45 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: Neu. Neuware - This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-di…sparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries.
