High Performance Big Data Analytics

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High Performance Big Data Analytics

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Author : Pethuru Raj
language : en
Publisher: Springer
Release Date : 2015-10-16

High Performance Big Data Analytics written by Pethuru Raj and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-16 with Computers categories.

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.

High Performance Big Data Computing

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Author : Dhabaleswar K. Panda
language : en
Publisher: MIT Press
Release Date : 2022-08-02

High Performance Big Data Computing written by Dhabaleswar K. Panda and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-02 with Computers categories.

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.

Handbook Of Research On Cloud Infrastructures For Big Data Analytics

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Author : Raj, Pethuru
language : en
Publisher: IGI Global
Release Date : 2014-03-31

Handbook Of Research On Cloud Infrastructures For Big Data Analytics written by Raj, Pethuru and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-31 with Computers categories.

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Big Data Analytics

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Author : David Loshin
language : en
Publisher: Elsevier
Release Date : 2013-08-23

Big Data Analytics written by David Loshin and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-23 with Computers categories.

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. - Guides the reader in assessing the opportunities and value proposition - Overview of big data hardware and software architectures - Presents a variety of technologies and how they fit into the big data ecosystem

Performance Aware High Performance Computing For Remote Sensing Big Data Analytics

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Author : Mustafa Kemal Pektürk
language : en
Publisher:
Release Date : 2018

Performance Aware High Performance Computing For Remote Sensing Big Data Analytics written by Mustafa Kemal Pektürk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.

The incredible increase in the volume of data emerging along with recent technological developments has made the analysis processes which use traditional approaches more difficult for many organizations. Especially applications involving subjects that require timely processing and big data such as satellite imagery, sensor data, bank operations, web servers, and social networks require efficient mechanisms for collecting, storing, processing, and analyzing these data. At this point, big data analytics, which contains data mining, machine learning, statistics, and similar techniques, comes to the help of organizations for end-to-end managing of the data. In this chapter, we introduce a novel high-performance computing system on the geo-distributed private cloud for remote sensing applications, which takes advantages of network topology, exploits utilization and workloads of CPU, storage, and memory resources in a distributed fashion, and optimizes resource allocation for realizing big data analytics efficiently.

Recent Trends And Future Direction For Data Analytics

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Author : Kumari, Aparna
language : en
Publisher: IGI Global
Release Date : 2024-05-14

Recent Trends And Future Direction For Data Analytics written by Kumari, Aparna and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.

In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage data to its full potential. Recent Trends and Future Direction for Data Analytics presents a compelling solution. By delving into real-world case studies spanning supply chain management, marketing, healthcare, and finance, this book bridges the gap between theory and practice, offering invaluable insights into the practical applications of data analytics. A systematic exploration of fundamental concepts, advanced techniques, and specialized topics equips scholars, researchers, and industry professionals with the knowledge and tools needed to navigate the complexities of data analytics with confidence.

High Performance Computing For Big Data

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Author : Chao Wang
language : en
Publisher: CRC Press
Release Date : 2017-10-16

High Performance Computing For Big Data written by Chao Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-16 with Computers categories.

High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.

New Perspectives And Possibilities In Strategic Management In The 21st Century Between Tradition And Modernity

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Author : Martínez-Falcó, Javier
language : en
Publisher: IGI Global
Release Date : 2023-07-28

New Perspectives And Possibilities In Strategic Management In The 21st Century Between Tradition And Modernity written by Martínez-Falcó, Javier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-28 with Business & Economics categories.

The field of strategic management is facing new challenges, as two phenomena, sustainability, and information and communication technologies, have altered the classic pillars of business strategy. These far-reaching changes require companies to make rapid adaptations in order to achieve optimal situations, which can no longer be developed as they did in the past. To help academics and managers understand the new fields of study and research within strategic management, Javier Martínez-Falcó, Assistant Professor at the University of Alicante, has written a groundbreaking book, New Perspectives and Possibilities in Strategic Management in the 21st Century: Between Tradition and Modernity. This book is an essential guide for reflection and critique, offering insights into the new currents and challenges of the discipline, shedding light on the modernization of strategies in the corporate world. It addresses the renewal and future directions of the field, covering topics such as sustainability, circular economy, green innovation, and information and communication technologies, including blockchain, big data, artificial intelligence, and IoT. The book serves as a must-read for academics, academic students, and policymakers interested in gaining a deeper understanding of current issues impacting deliberate business planning and organization. It also serves as a valuable support material for undergraduate and master's business students, providing a comprehensive understanding of the new fields of study in the discipline. This book is an excellent addition to any academic collection and offers a thought-provoking perspective on strategic management.

Big Data And High Performance Computing

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Author : L. Grandinetti
language : en
Publisher: IOS Press
Release Date : 2015-10-20

Big Data And High Performance Computing written by L. Grandinetti and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-20 with Computers categories.

Big Data has been much in the news in recent years, and the advantages conferred by the collection and analysis of large datasets in fields such as marketing, medicine and finance have led to claims that almost any real world problem could be solved if sufficient data were available. This is of course a very simplistic view, and the usefulness of collecting, processing and storing large datasets must always be seen in terms of the communication, processing and storage capabilities of the computing platforms available. This book presents papers from the International Research Workshop, Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2014. The papers selected for publication here discuss fundamental aspects of the definition of Big Data, as well as considerations from practice where complex datasets are collected, processed and stored. The concepts, problems, methodologies and solutions presented are of much more general applicability than may be suggested by the particular application areas considered. As a result the book will be of interest to all those whose work involves the processing of very large data sets, exascale computing and the emerging fields of data science

Big Data And Visual Analytics

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Author : Sang C. Suh
language : en
Publisher: Springer
Release Date : 2018-01-15

Big Data And Visual Analytics written by Sang C. Suh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-15 with Computers categories.

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.