Handbook of big data technologies
Title By: Zomaya, Albert Y [Edited by] | Sakr, Sherif [Edited by]
Material type:
BookPublisher: Australia : SPRINGER, 2019.Description: xiii, 895p. ill. 23 cm.ISBN: 9783319841380Subject(s): Computer science | Big data -- Handbooks, manuals, etc | Database management -- Handbooks, manuals, etc | COMPUTERS -- Databases -- General | Big data | Database management | Computer Science | Computer Systems Organization and Communication Networks | Communications Engineering, Networks | Data Storage Representation | Programming Techniques | Big Data/Analytics | Technology & Engineering -- Telecommunications | Computers -- System Administration -- Storage & Retrieval | Computers -- Programming -- General | Business & Economics -- Industries -- Computer Industry | Communications engineering / telecommunications | Data mining | Computer programming / software development | Business mathematics & systems | Computer network architectures | Telecommunication | Big data | Computers -- Hardware -- General | Computer networking & communicationsDDC classification: 005.7 HA ND Online resources: Location Map
| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 005.7 HA ND (Browse shelf) | Available | Oct2019 | T0063253 |
Total holds: 0
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| 005.7 EM PI Empirical studies on the development of executable business processes | 005.7 GR IN Integrated business information systems : | 005.7 GU ID Guide to big data applications | 005.7 HA ND Handbook of big data technologies | 005.7 HA SI Signal processing and networking for big data applications / | 005.7 KA MA Managing and processing big data in cloud computing | 005.7 LA RG Large scale and big data : |
Includes bibliographical references.
This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms.