Big-Data Analytics for Cloud, IoT and Cognitive Computing
Material type:
TextPublication details: New Delhi wley 2017Description: 409 pISBN: 9788126570430Subject(s): Cloud computing | Big data | Artificial intelligence | Internet of thingsDDC classification: 004.6782 Summary:
This book blends together big-data theories with emerging technologies on smart clouds over the Internet of Things (IoT). Data analysts and computer scientists must learn how to use clouds and IoT effectively to discover new knowledge, or to make critical decisions intelligently. This book aims to close the gaps between these learning groups, and encourages mutual learning and collaborative work between data scientists and cloud programmers. The world-renowned authors take a technological fusion approach to integrating big-data theories, cloud design principles, IoT sensing, machine learning, data analytics, and Hadoop and Spark programming in a single volume.
| Item type | Current library | Call number | Status | Date due | Barcode |
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Kannur University Central Library Stack | 004.6782 HWA/B (Browse shelf (Opens below)) | Available | 54415 |
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| 004.6782 CLO Cloud computing design patterns | 004.6782 DUB/C Cloud Computing and Beyond:A Managerial Perspective | 004.6782 HAU/C Cloud essentials: Exam study guide | 004.6782 HWA/B Big-Data Analytics for Cloud, IoT and Cognitive Computing | 004.6782 KRU/C Cloud security: A comprehensive guide to secur cloud computing | 004.6782 MAG Cloud computing: Data-intensive computing and scheduling | 004.6782 MIL/C Cloud Computing:Web-based applications that change the way you work and collaborate online |
This book blends together big-data theories with emerging technologies on smart clouds over the Internet of Things (IoT). Data analysts and computer scientists must learn how to use clouds and IoT effectively to discover new knowledge, or to make critical decisions intelligently. This book aims to close the gaps between these learning groups, and encourages mutual learning and collaborative work between data scientists and cloud programmers. The world-renowned authors take a technological fusion approach to integrating big-data theories, cloud design principles, IoT sensing, machine learning, data analytics, and Hadoop and Spark programming in a single volume.
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