×







We sell 100% Genuine & New Books only!

Big Data Management And Processing at Meripustak

Big Data Management And Processing by Kuan-Ching Li, Taylor & Francis

Books from same Author: Kuan-Ching Li

Books from same Publisher: Taylor & Francis

Related Category: Author List / Publisher List


  • Price: ₹ 13212.00/- [ 15.00% off ]

    Seller Price: ₹ 11230.00

Estimated Delivery Time : 4-5 Business Days

Sold By: Meripustak      Click for Bulk Order

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

We deliver across all postal codes in India

Orders Outside India


Add To Cart


Outside India Order Estimated Delivery Time
7-10 Business Days


  • We Deliver Across 100+ Countries

  • MeriPustak’s Books are 100% New & Original
  • General Information  
    Author(s)Kuan-Ching Li
    PublisherTaylor & Francis
    ISBN9781498768078
    Pages469
    BindingHardbound
    LanguageEnglish
    Publish YearMay 2017

    Description

    Taylor & Francis Big Data Management And Processing by Kuan-Ching Li

    From the Foreword:_x000D__x000D__x000D_"Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies."_x000D__x000D__x000D_---Sartaj Sahni, University of Florida, USA_x000D__x000D__x000D_"Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields._x000D__x000D__x000D_--Hai Jin, Huazhong University of Science and Technology, China_x000D__x000D__x000D_Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems._x000D__x000D__x000D__x000D__x000D__x000D_The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions._x000D__x000D__x000D__x000D__x000D__x000D_The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects._x000D_ _x000D_ 1 Big Data: Legal Compliance and Quality Management _x000D_ Paolo Balboni and Theodora Dragan_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 2 EnergyManagement for Green Big Data Centers _x000D_ Chonglin Gu, Hejiao Huang, and Xiaohua Jia_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 3 The Art of In-Memory Computing for Big Data Processing _x000D_ Mihaela-Andreea Vasile and Florin Pop_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 4 Scheduling Nested Transactions on In-Memory Data Grids _x000D_ Junwhan Kim, Roberto Palmieri, and Binoy Ravindran_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 5 Co-Scheduling High-Performance Computing Applications_x000D_ Guillaume Aupy, Anne Benoit, Loic Pottier, Padma Raghavan, Yves Robert, and Manu Shantharam_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 6 ResourceManagement forMapReduce Jobs Performing Big Data Analytics _x000D_ Norman Lim and Shikharesh Majumdar_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 7 Tyche: An Efficient Ethernet-Based Protocol for Converged Networked Storage _x000D_ Pilar Gonzalez-Ferez and Angelos Bilas_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 8 Parallel Backpropagation Neural Network for Big Data Processing on Many-Core Platform _x000D_ Boyang Li and Chen Liu_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 9 SQL-on-Hadoop Systems: State-of-the-Art Exploration, Models, Performances, Issues, and Recommendations _x000D_ Alfredo Cuzzocrea, Rim Moussa, and Soror Sahri_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 10 One Platform Rules All: From Hadoop 1.0 to Hadoop 2.0 and Spark _x000D_ Xiongpai Qin and Keqin Li_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 11 Security, Privacy, and Trust for User-Generated Content: The Challenges and Solutions _x000D_ Yuhong Liu, Yu Wang, and Nam Ling_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 12 Role of Real-Time Big Data Processing in the Internet of Things _x000D_ Miyuru Dayarathna, Paul Fremantle, Srinath Perera, and Sriskandarajah Suhothayan_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 13 End-to-End Security Framework for Big Sensing Data Streams_x000D_ Deepak Puthal, Surya Nepal, Rajiv Ranjan, and Jinjun Chen_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 14 Considerations on the Use of Custom Accelerators for Big Data Analytics_x000D_ Vito Giovanni Castellana, Antonino Tumeo, Marco Minutoli, Marco Lattuada, and Fabrizio Ferrandi_x000D_ _x000D_ _x000D_ 15 Complex Mining from Uncertain Big Data in Distributed Environments: Problems, Definitions, and Two Effective and Efficient Algorithms _x000D_ Alfredo Cuzzocrea, Carson Kai-Sang Leung, Fan Jiang, and Richard Kyle MacKinnon_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 16 Clustering in Big Data _x000D_ Min Chen, Simone A. Ludwig, and Keqin Li_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 17 Large Graph Computing Systems_x000D_ Chengwen Wu, Guangyan Zhang, Keqin Li, and Weimin Zheng_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 18 Big Data in Genomics_x000D_ Huaming Chen, Jiangning Song, Jun Shen, and Lei Wang_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 19 Maximizing the Return on Investment in Big Data Projects: An Approach Based upon the Incremental Funding of Project Development_x000D_ Antonio Juarez Alencar, Mauro Penha Bastos, Eber Assis Schmitz, Monica Ferreira da Silva, and Petros Sotirios Stefaneas_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 20 Parallel DataMining and Applications in Hospital Big Data Processing_x000D_ Jianguo Chen, Zhuo Tang, Kenli Li, and Keqin Li_x000D_ _x000D_ _x000D_ _x000D_ _x000D_ _x000D_ 21 Big Data in the Parking Lot_x000D_ Ryan Florin, Syedmeysam Abolghasemi, Aida Ghazi Zadeh, and Stephan Olariu_x000D_



    Book Successfully Added To Your Cart