Handbook Of Big Data Technologies

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Handbook of Big Data Technologies

Albert Y. Zomaya,Sherif Sakr
Handbook of Big Data Technologies Book PDF

Author : Albert Y. Zomaya,Sherif Sakr
Publisher : Springer
Page : 895 pages
File Size : 47,5 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.

Research Handbook on Big Data Law

Roland Vogl
Research Handbook on Big Data Law Book PDF

Author : Roland Vogl
Publisher : Edward Elgar Publishing
Page : 544 pages
File Size : 47,6 Mb
Release : 2021-05-28
Category : Law
ISBN : 9781788972826

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Research Handbook on Big Data Law by Roland Vogl Pdf

This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

Handbook of Big Data Privacy

Kim-Kwang Raymond Choo,Ali Dehghantanha
Handbook of Big Data Privacy Book PDF

Author : Kim-Kwang Raymond Choo,Ali Dehghantanha
Publisher : Springer Nature
Page : 397 pages
File Size : 54,8 Mb
Release : 2020-03-18
Category : Computers
ISBN : 9783030385576

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Handbook of Big Data Privacy by Kim-Kwang Raymond Choo,Ali Dehghantanha Pdf

This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

Handbook of Big Data Analytics

Vadlamani Ravi,Aswani Kumar Cherukuri
Handbook of Big Data Analytics Book PDF

Author : Vadlamani Ravi,Aswani Kumar Cherukuri
Publisher : IET
Page : 390 pages
File Size : 53,7 Mb
Release : 2021-07-09
Category : Computers
ISBN : 9781839530647

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Handbook of Big Data Analytics by Vadlamani Ravi,Aswani Kumar Cherukuri Pdf

This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Raj, Pethuru
Handbook of Research on Cloud Infrastructures for Big Data Analytics Book PDF

Author : Raj, Pethuru
Publisher : IGI Global
Page : 592 pages
File Size : 51,5 Mb
Release : 2014-03-31
Category : Computers
ISBN : 9781466658653

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Handbook of Research on Cloud Infrastructures for Big Data Analytics by Raj, Pethuru Pdf

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 Technologies and Applications

Borko Furht,Flavio Villanustre
Big Data Technologies and Applications Book PDF

Author : Borko Furht,Flavio Villanustre
Publisher : Springer
Page : 400 pages
File Size : 41,5 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.

Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

Anonim
Handbook On Big Data And Machine Learning In The Physical Sciences In 2 Volumes Book PDF

Author : Anonim
Publisher : World Scientific
Page : 1001 pages
File Size : 45,7 Mb
Release : 2020-03-10
Category : Computers
ISBN : 9789811204586

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Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) by Anonim Pdf

This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument — driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems.

Big Data Management, Technologies, and Applications

Hu, Wen-Chen
Big Data Management Technologies and Applications Book PDF

Author : Hu, Wen-Chen
Publisher : IGI Global
Page : 509 pages
File Size : 48,6 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.

Handbook of Research on Cloud Computing and Big Data Applications in IoT

Gupta, B. B.,Agrawal, Dharma P.
Handbook of Research on Cloud Computing and Big Data Applications in IoT Book PDF

Author : Gupta, B. B.,Agrawal, Dharma P.
Publisher : IGI Global
Page : 609 pages
File Size : 49,8 Mb
Release : 2019-04-12
Category : Computers
ISBN : 9781522584087

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Handbook of Research on Cloud Computing and Big Data Applications in IoT by Gupta, B. B.,Agrawal, Dharma P. Pdf

Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.

Handbook of Big Data

Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
Handbook of Big Data Book PDF

Author : Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
Publisher : CRC Press
Page : 480 pages
File Size : 52,5 Mb
Release : 2016-02-22
Category : Business & Economics
ISBN : 9781482249088

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Handbook of Big Data by Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan Pdf

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical

Handbook of IoT and Big Data

Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Handbook of IoT and Big Data Book PDF

Author : Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim
Publisher : CRC Press
Page : 349 pages
File Size : 43,9 Mb
Release : 2019-02-21
Category : Computers
ISBN : 9780429624933

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Handbook of IoT and Big Data by Vijender Kumar Solanki,Vicente García Díaz,J. Paulo Davim Pdf

This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the authors to support and bring the information into one resource. The book is divided into 4 sections that covers IoT and technologies, the future of Big Data, algorithms, and case studies showing IoT and Big Data in various fields such as health care, manufacturing and automation. Features Focuses on the latest workings of IoT and Big Data Discusses the emerging role of technologies and the fast-growing market of Big Data Covers the movement toward automation with hardware, software, and sensors, and trying to save on energy resources Offers the latest technology on IoT Presents the future horizons on Big Data

Big Data

Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
Big Data Book PDF

Author : Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi
Publisher : John Wiley & Sons
Page : 370 pages
File Size : 44,9 Mb
Release : 2021-04-13
Category : Mathematics
ISBN : 9781119701828

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Big Data by Balamurugan Balusamy,Nandhini Abirami R,Seifedine Kadry,Amir H. Gandomi Pdf

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

Oracle Big Data Handbook

Tom Plunkett,Brian Macdonald,Bruce Nelson,Helen Sun,Mark Hornick,Keith Laker,Khader Mohiuddin,Debra Harding,David Segleau,Gokula Mishra,Robert Stackowiak
Oracle Big Data Handbook Book PDF

Author : Tom Plunkett,Brian Macdonald,Bruce Nelson,Helen Sun,Mark Hornick,Keith Laker,Khader Mohiuddin,Debra Harding,David Segleau,Gokula Mishra,Robert Stackowiak
Publisher : McGraw Hill Professional
Page : 467 pages
File Size : 44,5 Mb
Release : 2013-09-25
Category : Computers
ISBN : 9780071827263

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Oracle Big Data Handbook by Tom Plunkett,Brian Macdonald,Bruce Nelson,Helen Sun,Mark Hornick,Keith Laker,Khader Mohiuddin,Debra Harding,David Segleau,Gokula Mishra,Robert Stackowiak Pdf

"Cowritten by members of Oracle's big data team, [this book] provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings"--Page 4 of cover.

Handbook of Research on Big Data Storage and Visualization Techniques

Segall, Richard S.,Cook, Jeffrey S.
Handbook of Research on Big Data Storage and Visualization Techniques Book PDF

Author : Segall, Richard S.,Cook, Jeffrey S.
Publisher : IGI Global
Page : 917 pages
File Size : 42,8 Mb
Release : 2018-01-05
Category : Computers
ISBN : 9781522531432

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Handbook of Research on Big Data Storage and Visualization Techniques by Segall, Richard S.,Cook, Jeffrey S. Pdf

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Handbook of Research on Big Data and the IoT

Kaur, Gurjit,Tomar, Pradeep
Handbook of Research on Big Data and the IoT Book PDF

Author : Kaur, Gurjit,Tomar, Pradeep
Publisher : IGI Global
Page : 568 pages
File Size : 45,8 Mb
Release : 2019-03-29
Category : Computers
ISBN : 9781522574330

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Handbook of Research on Big Data and the IoT by Kaur, Gurjit,Tomar, Pradeep Pdf

The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.