Software And Data Technologies

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Big Data Technologies and Applications

Author : Borko Furht,Flavio Villanustre
Publisher : Springer
Page : 400 pages
File Size : 48,6 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.

Software and Data Technologies

Author : Maria José Escalona,José Cordeiro,Boris Shishkov
Publisher : Springer
Page : 287 pages
File Size : 44,8 Mb
Release : 2013-01-03
Category : Computers
ISBN : 9783642361777

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Software and Data Technologies by Maria José Escalona,José Cordeiro,Boris Shishkov Pdf

This book constitutes the proceedings of the 6th International Conference on Software and Data Technologies, ICSOFT 2011, held in Seville, Spain, in July 12011. The 13 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 220 submissions. The papers are organized in topical sections on enterprise software technology; software engineering; distributed systems; data management; knowledge-based systems.

Software and Data Technologies

Author : José Cordeiro,AlpeshKumar Ranchordas,Boris Shishkov
Publisher : Springer
Page : 291 pages
File Size : 45,7 Mb
Release : 2011-03-30
Category : Computers
ISBN : 9783642201165

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Software and Data Technologies by José Cordeiro,AlpeshKumar Ranchordas,Boris Shishkov Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Software and Data Technologies, ICSOFT 2009, held in Sofia, Bulgaria, in July 2009. The 19 revised full papers presented together with two invited papers were carefully reviewed and selected as best papers from 212 submissions. The papers are organized in topical sections on enterprise software technology; software engineering; distributed systems; data management; knowledge-based systems.

Software and Data Technologies

Author : Joaquim Filipe,Boris Shishkov,Markus Helfert
Publisher : Springer Science & Business Media
Page : 390 pages
File Size : 50,7 Mb
Release : 2008-07-18
Category : Computers
ISBN : 9783540706212

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Software and Data Technologies by Joaquim Filipe,Boris Shishkov,Markus Helfert Pdf

This book contains the best papers of the First International Conference on Software and Data Technologies (ICSOFT 2006), organized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC) in cooperation with the Object Management Group (OMG). Hosted by the School of Business of the Polytechnic Institute of Setubal, the conference was sponsored by Enterprise Ireland and the Polytechnic Institute of Setúbal. The purpose of ICSOFT 2006 was to bring together researchers and practitioners int- ested in information technology and software development. The conference tracks were “Software Engineering”, “Information Systems and Data Management”, “Programming Languages”, “Distributed and Parallel Systems” and “Knowledge Engineering.” Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data-warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data quality and other related topics are included in the scope of this conference. ICSOFT included in its program a panel to discuss the future of software devel- ment, composed by six distinguished world-class researchers. Furthermore, the c- ference program was enriched by a tutorial and six keynote lectures. ICSOFT 2006 received 187 paper submissions from 39 countries in all continents.

Modeling and Processing for Next-Generation Big-Data Technologies

Author : Fatos Xhafa,Leonard Barolli,Admir Barolli,Petraq Papajorgji
Publisher : Springer
Page : 516 pages
File Size : 42,9 Mb
Release : 2014-11-04
Category : Technology & Engineering
ISBN : 9783319091778

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Modeling and Processing for Next-Generation Big-Data Technologies by Fatos Xhafa,Leonard Barolli,Admir Barolli,Petraq Papajorgji Pdf

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

Big Data

Author : Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Publisher : Springer
Page : 89 pages
File Size : 41,5 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.

Introduction to Data Technologies

Author : Paul Murrell
Publisher : CRC Press
Page : 418 pages
File Size : 48,5 Mb
Release : 2009-02-23
Category : Mathematics
ISBN : 1420065181

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Introduction to Data Technologies by Paul Murrell Pdf

Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education. With a focus on computational tools, the book shows readers how to improve their awareness of what tasks can be achieved and describes the correct approach to perform these tasks. Practical examples demonstrate the most important points The author first discusses how to write computer code using HTML as a concrete example. He then covers a variety of data storage topics, including different file formats, XML, and the structure and design issues of relational databases. After illustrating how to extract data from a relational database using SQL, the book presents tools and techniques for searching, sorting, tabulating, and manipulating data. It also introduces some very basic programming concepts as well as the R language for statistical computing. Each of these topics has supporting chapters that offer reference material on HTML, CSS, XML, DTD, SQL, R, and regular expressions. One-stop shop of introductory computing information Written by a member of the R Development Core Team, this resource shows readers how to apply data technologies to tasks within a research setting. Collecting material otherwise scattered across many books and the web, it explores how to publish information via the web, how to access information stored in different formats, and how to write small programs to automate simple, repetitive tasks.

Handbook of Big Data Technologies

Author : Albert Y. Zomaya,Sherif Sakr
Publisher : Springer
Page : 895 pages
File Size : 49,5 Mb
Release : 2017-02-25
Category : Computers
ISBN : 9783319493404

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Handbook of Big Data Technologies by Albert Y. Zomaya,Sherif Sakr Pdf

This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one covers the fundamental concepts of Big Data technologies including data curation mechanisms, data models, storage models, programming models and programming platforms. It also dives into the details of implementing Big SQL query engines and big stream processing systems. Part Two focuses on the semantic aspects of Big Data management including data integration and exploratory ad hoc analysis in addition to structured querying and pattern matching techniques. Part Three presents a comprehensive overview of large scale graph processing. It covers the most recent research in large scale graph processing platforms, introducing several scalable graph querying and mining mechanisms in domains such as social networks. Part Four details novel applications that have been made possible by the rapid emergence of Big Data technologies such as Internet-of-Things (IOT), Cognitive Computing and SCADA Systems. All parts of the book discuss open research problems, including potential opportunities, that have arisen from the rapid progress of Big Data technologies and the associated increasing requirements of application domains. Designed for researchers, IT professionals and graduate students, this book is a timely contribution to the growing Big Data field. Big Data has been recognized as one of leading emerging technologies that will have a major contribution and impact on the various fields of science and varies aspect of the human society over the coming decades. Therefore, the content in this book will be an essential tool to help readers understand the development and future of the field.

Cloud Computing and Big Data: Technologies, Applications and Security

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.

Software and Data Technolgoies

Author : José Cordeiro,Boris Shishkov,AlpeshKumar Ranchordas,Markus Helfert
Publisher : Springer
Page : 231 pages
File Size : 55,8 Mb
Release : 2009-10-26
Category : Computers
ISBN : 9783642052019

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Software and Data Technolgoies by José Cordeiro,Boris Shishkov,AlpeshKumar Ranchordas,Markus Helfert Pdf

This book contains the best papers of the Third International Conference on Software and Data Technologies (ICSOFT 2008), held in Porto, Portugal, which was organized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST). The purpose of ICSOFT 2008 was to bring together researchers, engineers and practitioners interested in information technology and software development. The conference tracks were “Software Engineering”, “Information Systems and Data Management”, “Programming Languages”, “Distributed and Parallel Systems” and “Knowledge Engineering”. Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data-warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data qu- ity and other related topics are included in the scope of this conference.

Encyclopedia of Big Data Technologies

Author : Sherif Sakr,Albert Zomaya
Publisher : Springer
Page : 1820 pages
File Size : 45,8 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.

Designing Big Data Platforms

Author : Yusuf Aytas
Publisher : John Wiley & Sons
Page : 338 pages
File Size : 50,6 Mb
Release : 2021-07-27
Category : Mathematics
ISBN : 9781119690924

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Designing Big Data Platforms by Yusuf Aytas Pdf

DESIGNING BIG DATA PLATFORMS Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the right tool to build a solution can be complicated, as can determining which tools work well with each other. Designing Big Data Platforms provides clear and authoritative guidance on the critical decisions necessary for successfully deploying, operating, and maintaining Big Data systems. This highly practical guide helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems Highlights and explains how data is processed at scale Includes an introduction to the foundation of a modern data platform Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data Systems is a must-have for all professionals working with Big Data, as well researchers and students in computer science and related fields.

Object-oriented Technology for Database and Software Systems

Author : Vangalur S. Alagar,R. Missaoui
Publisher : World Scientific
Page : 328 pages
File Size : 46,5 Mb
Release : 1995
Category : Computers
ISBN : 9810221703

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Object-oriented Technology for Database and Software Systems by Vangalur S. Alagar,R. Missaoui Pdf

Object orientation has become a ?must know? subject for managers, researchers, and software practitioners interested in the design, evolution, reuse and management of efficient software components.The book contains technical papers reflecting both theoretical and practical contributions from researchers in the field of object-oriented (OO) databases and software engineering systems. The book identifies actual and potential areas of integration of OO and database technologies, current and future research directions in software methodologies, and reflections about the OO paradigm.In providing current research and relevant information about this promising and rapidly growing field of object-oriented databases and software engineering systems, this book is invaluable to research scientists, practitioners, and graduate students working in the areas of databases and software engineering.

Software and Data Technologies

Author : Joaquim Filipe,Boris Shishkov,Markus Helfert,Leszek Maciaszek
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 41,6 Mb
Release : 2008-11-02
Category : Computers
ISBN : 9783540886556

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Software and Data Technologies by Joaquim Filipe,Boris Shishkov,Markus Helfert,Leszek Maciaszek Pdf

This book contains the best papers of the Second International Conference on So- ware and Data Technologies (ICSOFT 2007), held in Barcelona, Spain. It was org- ized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST). The purpose of ICSOFT 2007 was to bring together researchers and practitioners int- ested in information technology and software development. The conference tracks were “Software Engineering,” “Information Systems and Data Management,” “Programming Languages,” “Distributed and Parallel Systems” and “Knowledge Engineering.” Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data quality and other related topics are included in the scope of this conference.

Advances in Internet, Data and Web Technologies

Author : Leonard Barolli,Juggapong Natwichai,Tomoya Enokido
Publisher : Springer
Page : 380 pages
File Size : 49,9 Mb
Release : 2021-02-19
Category : Computers
ISBN : 3030706389

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Advances in Internet, Data and Web Technologies by Leonard Barolli,Juggapong Natwichai,Tomoya Enokido Pdf

This book presents original contributions to the theories and practices of emerging Internet, data and web technologies and their applicability in businesses, engineering and academia. The Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two most prominent paradigms, in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services and so on. These technologies altogether create a digital ecosystem whose cornerstone is the data cycle, from capturing to processing, analysis and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, this book addresses advances in the life cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners and students interested in the field of data and web technologies will find this book useful and a reference for their activity.