Big-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning an...

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Hauptverfasser: Hwang, Kai (VerfasserIn), Chen, Min 1980- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Chichester, UK Hoboken, NJ Wiley 2017
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spelling Hwang, Kai VerfasserIn aut
Big-Data Analytics for Cloud, IoT and Cognitive Computing Kai Hwang, Min Chen
Chichester, UK Hoboken, NJ Wiley 2017
1 online resource
Text txt rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
Includes bibliographical references and index. - Print version record and CIP data provided by publisher
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools.-The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies -Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs -Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies -Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning -Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.
Cloud computing Data processing
Big data
Infonuagique ; Informatique
Données volumineuses
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
Chen, Min 1980- VerfasserIn aut
9781119247029
Erscheint auch als Druck-Ausgabe 9781119247029
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781119247029/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Hwang, Kai
Chen, Min 1980-
Big-Data Analytics for Cloud, IoT and Cognitive Computing
Cloud computing Data processing
Big data
Infonuagique ; Informatique
Données volumineuses
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
title Big-Data Analytics for Cloud, IoT and Cognitive Computing
title_auth Big-Data Analytics for Cloud, IoT and Cognitive Computing
title_exact_search Big-Data Analytics for Cloud, IoT and Cognitive Computing
title_full Big-Data Analytics for Cloud, IoT and Cognitive Computing Kai Hwang, Min Chen
title_fullStr Big-Data Analytics for Cloud, IoT and Cognitive Computing Kai Hwang, Min Chen
title_full_unstemmed Big-Data Analytics for Cloud, IoT and Cognitive Computing Kai Hwang, Min Chen
title_short Big-Data Analytics for Cloud, IoT and Cognitive Computing
title_sort big data analytics for cloud iot and cognitive computing
topic Cloud computing Data processing
Big data
Infonuagique ; Informatique
Données volumineuses
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
topic_facet Cloud computing Data processing
Big data
Infonuagique ; Informatique
Données volumineuses
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
url https://learning.oreilly.com/library/view/-/9781119247029/?ar
work_keys_str_mv AT hwangkai bigdataanalyticsforcloudiotandcognitivecomputing
AT chenmin bigdataanalyticsforcloudiotandcognitivecomputing