Handbook of Big Data Technologies /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Zomaya, Albert Y. (Editor ), Sakr, Sherif. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2017.
Edición:	1st ed. 2017.
Materias:	Computer organization. Electrical engineering. Data structures (Computer science). Computer programming. Big data. Computer Systems Organization and Communication Networks. Communications Engineering, Networks. Data Storage Representation. Programming Techniques. Big Data/Analytics.

Tabla de Contenidos:

Big Data Storage Models
Big Data Programming Models
Programming Platforms for Big Data Analysis
Big Data Analysis on Clouds
Data Organization and Curation in Big Data
Big Data Query Engines
Unbounded Data Processing
Semantic Data Integration
Linked Data Management
Non-native RDF Storage Engines
Exploratory Ad-hoc Analysis for Big Data
Pattern Matching over Linked Data Streams
Searching the Big Data Practices and Experiences in Efficiently Querying Knowledge Bases
Management and Analysis of Big Graph Data
Similarity Search in Large-Scale Graph Databases
Big Graphs Querying, Mining, and Beyond
Link and Graph Mining in the Big Data Era
Granular Social Network Model and Applications
Big Data, IoT and Semantics
SCADA Systems in the Cloud
Quantitative Data Analysis in Finance
Emerging Cost Effective Big Data Architectures
Bringing High Performance Computing to Big Data
Cognitive Computing where Big Data is Driving
Privacy-Preserving Record Linkage for Big Data.

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