Handbook of Big Data Technologies

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zomaya, Albert Y. (Επιμελητής έκδοσης), Sakr, Sherif (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Θέματα: Computer science.; Big data.; Computer organization.; Computer programming.; Data structures (Computer science).; Electrical engineering.; Computer Science.; Computer Systems Organization and Communication Networks.; Communications Engineering, Networks.; Data Storage Representation.; Programming Techniques.; Big Data/Analytics.

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 i...

Πίνακας περιεχομένων:

• 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.