Big Data Management Technologies And Applications

Author : Borko Furht,Flavio Villanustre
Publisher : Springer
Page : 400 pages
File Size : 45,8 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9783319445502

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Big Data Technologies and Applications by Borko Furht,Flavio Villanustre Pdf

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Author : Hu, Wen-Chen
Publisher : IGI Global
Page : 342 pages
File Size : 47,5 Mb
Release : 2013-10-31
Category : Computers
ISBN : 9781466647008

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Big Data Management, Technologies, and Applications by Hu, Wen-Chen Pdf

"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.

Author : Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandra Deka
Publisher : Springer
Page : 162 pages
File Size : 40,7 Mb
Release : 2017-08-29
Category : Computers
ISBN : 9783319598345

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Distributed Computing in Big Data Analytics by Sourav Mazumder,Robin Singh Bhadoria,Ganesh Chandra Deka Pdf

Big data technologies are used to achieve any type of analytics in a fast and predictable way, thus enabling better human and machine level decision making. Principles of distributed computing are the keys to big data technologies and analytics. The mechanisms related to data storage, data access, data transfer, visualization and predictive modeling using distributed processing in multiple low cost machines are the key considerations that make big data analytics possible within stipulated cost and time practical for consumption by human and machines. However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use. This book fills the literature gap by addressing key aspects of distributed processing in big data analytics. The chapters tackle the essential concepts and patterns of distributed computing widely used in big data analytics. This book discusses also covers the main technologies which support distributed processing. Finally, this book provides insight into applications of big data analytics, highlighting how principles of distributed computing are used in those situations. Practitioners and researchers alike will find this book a valuable tool for their work, helping them to select the appropriate technologies, while understanding the inherent strengths and drawbacks of those technologies.

Author : Wen-Chen Hu,Naima Kaabouch
Publisher : Unknown
Page : 479 pages
File Size : 42,5 Mb
Release : 2014
Category : Big data
ISBN : 1466647019

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Big Data Management, Technologies, and Applications by Wen-Chen Hu,Naima Kaabouch Pdf

Author : Alfredo Cuzzocrea,Oleg Gusikhin,Slimane Hammoudi,Christoph Quix
Publisher : Springer Nature
Page : 256 pages
File Size : 40,7 Mb
Release : 2023-08-23
Category : Computers
ISBN : 9783031378904

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Data Management Technologies and Applications by Alfredo Cuzzocrea,Oleg Gusikhin,Slimane Hammoudi,Christoph Quix Pdf

This book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6–8, 2021 and in Lisbon, Portugal on July 11-13, 2022. The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.

Author : Slimane Hammoudi,Christoph Quix,Jorge Bernardino
Publisher : Springer Nature
Page : 330 pages
File Size : 55,5 Mb
Release : 2021-07-22
Category : Computers
ISBN : 9783030830144

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Data Management Technologies and Applications by Slimane Hammoudi,Christoph Quix,Jorge Bernardino Pdf

This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. Due to the Covid-19 pandemic the event was held virtually. The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; decision support systems; data analytics; data and information quality; digital rights management; big data; knowledge management; ontology engineering; digital libraries; mobile databases; object-oriented database systems; data integrity.

Author : Markus Helfert,Andreas Holzinger,Orlando Belo,Chiara Francalanci
Publisher : Springer
Page : 199 pages
File Size : 40,5 Mb
Release : 2015-10-30
Category : Computers
ISBN : 9783319259369

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Data Management Technologies and Applications by Markus Helfert,Andreas Holzinger,Orlando Belo,Chiara Francalanci Pdf

This book constitutes the thoroughly refereed proceedings of the Third International Conference on Data Technologies and Applications, DATA 2014, held in Vienna, Austria, in August 2014. The 12 revised full papers were carefully reviewed and selected from 87 submissions. The papers deal with the following topics: databases, data warehousing, data mining, data management, data security, knowledge and information systems and technologies; advanced application of data.

Author : Sherif Sakr,Albert Zomaya
Publisher : Springer
Page : 1820 pages
File Size : 42,6 Mb
Release : 2019-03-01
Category : Computers
ISBN : 3319775243

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Encyclopedia of Big Data Technologies by Sherif Sakr,Albert Zomaya Pdf

The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science. Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.

Author : Ma, Zongmin,Yan, Li
Publisher : IGI Global
Page : 458 pages
File Size : 40,7 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781522584476

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Emerging Technologies and Applications in Data Processing and Management by Ma, Zongmin,Yan, Li Pdf

Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.

Author : Christoph Quix,Jorge Bernardino
Publisher : Springer
Page : 211 pages
File Size : 42,9 Mb
Release : 2019-07-19
Category : Computers
ISBN : 9783030266363

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Data Management Technologies and Applications by Christoph Quix,Jorge Bernardino Pdf

This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and Applications, DATA 2018, held in Porto, Portugal, in July 2018. The 9 revised full papers were carefully reviewed and selected from 69 submissions. The papers deal with the following topics: databases, big data, data mining, data management, data security, and other aspects of information systems and technology involving advanced applications of data.

Author : Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong
Publisher : Springer
Page : 394 pages
File Size : 40,7 Mb
Release : 2018-07-27
Category : Technology & Engineering
ISBN : 9783319977195

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Cloud Computing and Big Data: Technologies, Applications and Security by Mostapha Zbakh,Mohammed Essaaidi,Pierre Manneback,Chunming Rong Pdf

This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.

Author : Chiara Francalanci,Markus Helfert
Publisher : Springer
Page : 179 pages
File Size : 46,6 Mb
Release : 2017-06-29
Category : Computers
ISBN : 9783319629117

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Data Management Technologies and Applications by Chiara Francalanci,Markus Helfert Pdf

This book constitutes the thoroughly refereed proceedings of the Fourth International Conference on Data Technologies and Applications, DATA 2016, held in Colmar, France, in July 2016. The 9 revised full papers were carefully reviewed and selected from 50 submissions. The papers deal with the following topics: databases, data warehousing, data mining, data management, data security, knowledge and information systems and technologies; advanced application of data.

Author : Arun K. Somani,Ganesh Chandra Deka
Publisher : CRC Press
Page : 399 pages
File Size : 49,9 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9781351180320

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Big Data Analytics by Arun K. Somani,Ganesh Chandra Deka Pdf

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

Author : Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Publisher : Springer
Page : 89 pages
File Size : 47,6 Mb
Release : 2014-05-05
Category : Computers
ISBN : 9783319062457

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Big Data by Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung Pdf

This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

Author : Rajkumar Buyya,Rodrigo N. Calheiros,Amir Vahid Dastjerdi
Publisher : Morgan Kaufmann
Page : 494 pages
File Size : 45,9 Mb
Release : 2016-06-07
Category : Computers
ISBN : 9780128093467

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Big Data by Rajkumar Buyya,Rodrigo N. Calheiros,Amir Vahid Dastjerdi Pdf

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues. Covers computational platforms supporting Big Data applications Addresses key principles underlying Big Data computing Examines key developments supporting next generation Big Data platforms Explores the challenges in Big Data computing and ways to overcome them Contains expert contributors from both academia and industry