Big Data Management  Technologies  and Applications Book

Big Data Management Technologies and Applications


  • Author : Hu, Wen-Chen
  • Publisher : IGI Global
  • Release Date : 2013-10-31
  • Genre: Computers
  • Pages : 342
  • ISBN 10 : 9781466647008

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Big Data Management Technologies and Applications Excerpt :

"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.

Technologies and Applications for Big Data Value Book

Technologies and Applications for Big Data Value


  • Author : Edward Curry
  • Publisher : Springer
  • Release Date : 2021-12-19
  • Genre: Computers
  • Pages : 548
  • ISBN 10 : 3030783065

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Technologies and Applications for Big Data Value Excerpt :

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part “Technologies and Methods” contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part “Processes and Applications” details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Data Management Technologies and Applications Book

Data Management Technologies and Applications


  • Author : Markus Helfert
  • Publisher : Springer
  • Release Date : 2015-10-30
  • Genre: Computers
  • Pages : 199
  • ISBN 10 : 9783319259369

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Data Management Technologies and Applications Excerpt :

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.

Data Management Technologies and Applications Book

Data Management Technologies and Applications


  • Author : Slimane Hammoudi
  • Publisher : Springer Nature
  • Release Date : 2021-07-22
  • Genre: Computers
  • Pages : 319
  • ISBN 10 : 9783030830144

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Data Management Technologies and Applications Excerpt :

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.

Data Management Technologies and Applications Book

Data Management Technologies and Applications


  • Author : Chiara Francalanci
  • Publisher : Springer
  • Release Date : 2017-06-29
  • Genre: Computers
  • Pages : 179
  • ISBN 10 : 9783319629117

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Data Management Technologies and Applications Excerpt :

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.

Data Management Technologies and Applications Book

Data Management Technologies and Applications


  • Author : Slimane Hammoudi
  • Publisher : Springer Nature
  • Release Date : 2020-07-29
  • Genre: Computers
  • Pages : 157
  • ISBN 10 : 9783030545956

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Data Management Technologies and Applications Excerpt :

This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and Applications, DATA 2019, held in Prague, Czech Republic, in July 2019. The 8 revised full papers were carefully reviewed and selected from 90 submissions. The papers deal with the following topics: 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, and data integrity.

Data Management Technologies and Applications Book

Data Management Technologies and Applications


  • Author : Joaquim Filipe
  • Publisher : Springer
  • Release Date : 2018-06-29
  • Genre: Computers
  • Pages : 287
  • ISBN 10 : 9783319948096

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Data Management Technologies and Applications Excerpt :

This book constitutes the thoroughly refereed proceedings of the 6th International Conference on Data Management Technologies and Applications, DATA 2017, held in Madrid, Spain, in July 2017. The 13 revised full papers were carefully reviewed and selected from 66 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.

Data Management Technologies and Applications Book

Data Management Technologies and Applications


  • Author : Christoph Quix
  • Publisher : Springer
  • Release Date : 2019-07-19
  • Genre: Computers
  • Pages : 211
  • ISBN 10 : 9783030266363

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Data Management Technologies and Applications Excerpt :

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.

Building Big Data Applications Book

Building Big Data Applications


  • Author : Krish Krishnan
  • Publisher : Academic Press
  • Release Date : 2019-11-15
  • Genre: Computers
  • Pages : 242
  • ISBN 10 : 9780128158043

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Building Big Data Applications Excerpt :

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.). Explores various ways to leverage Big Data by effectively integrating it into the data warehouse Includes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Big Data Technologies and Applications Book

Big Data Technologies and Applications


  • Author : Borko Furht
  • Publisher : Springer
  • Release Date : 2016-09-16
  • Genre: Computers
  • Pages : 400
  • ISBN 10 : 9783319445502

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Big Data Technologies and Applications Excerpt :

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.

Big Data Book

Big Data


  • Author : Min Chen
  • Publisher : Springer
  • Release Date : 2014-05-05
  • Genre: Computers
  • Pages : 89
  • ISBN 10 : 9783319062457

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Big Data Excerpt :

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.

Big Data Book
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Big Data


  • Author : Rajkumar Buyya
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-06-07
  • Genre: Computers
  • Pages : 494
  • ISBN 10 : 9780128093467

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Big Data Excerpt :

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

Emerging Technologies and Applications in Data Processing and Management Book

Emerging Technologies and Applications in Data Processing and Management


  • Author : Ma, Zongmin
  • Publisher : IGI Global
  • Release Date : 2019-06-28
  • Genre: Computers
  • Pages : 458
  • ISBN 10 : 9781522584476

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Emerging Technologies and Applications in Data Processing and Management Excerpt :

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.

The Elements of Big Data Value Book

The Elements of Big Data Value


  • Author : Edward Curry
  • Publisher : Springer Nature
  • Release Date : 2021-08-01
  • Genre: Computers
  • Pages : 399
  • ISBN 10 : 9783030681760

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The Elements of Big Data Value Excerpt :

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Smart Technology Trends in Industrial and Business Management Book

Smart Technology Trends in Industrial and Business Management


  • Author : Dagmar Cagáňová
  • Publisher : Springer
  • Release Date : 2019-02-15
  • Genre: Technology & Engineering
  • Pages : 500
  • ISBN 10 : 9783319769981

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Smart Technology Trends in Industrial and Business Management Excerpt :

This book presents current developments in smart city research and application regarding the management of manufacturing systems, Industry 4.0, transportation, and business management. It suggests approaches to incorporating smart city innovations into manufacturing systems, with an eye towards competitiveness in a global environment. The same pro-innovative approach is then applied to business and cooperation management. The authors also present smart city transportation solutions including vehicle data processing/reporting system, mobile application for fleet managers, bus drivers, bus passengers and special applications for smart city buses like passenger counting system, IP cameras, GPS system etc. The goal of the book is to establish channels of communication and disseminate knowledge among researchers and professionals working on smart city research and application. Features contributions on a variety of topics related to smart cities from global researchers and professionals in a wide range of sectors; Presents topics relating to smart cities such as manufacturing, business, and transportation; Includes expanded selected papers from EAI International Conference on Management of Manufacturing Systems (MMS 2016), EAI Industry of Things and Future Technologies Conference – Mobility IoT 2016 and International Conference on Smart Electric Vehicles and Vehicular Ad-hoc NETworks (SEVNET).