Big Data Management And Processing

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Big Data Management and Processing

Kuan-Ching Li,Hai Jiang,Albert Y. Zomaya
Big Data Management and Processing Book PDF

Author : Kuan-Ching Li,Hai Jiang,Albert Y. Zomaya
Publisher : CRC Press
Page : 489 pages
File Size : 44,6 Mb
Release : 2017-05-19
Category : Business & Economics
ISBN : 9781498768085

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Big Data Management and Processing by Kuan-Ching Li,Hai Jiang,Albert Y. Zomaya Pdf

From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.

Large Scale and Big Data

Sherif Sakr,Mohamed Gaber
Large Scale and Big Data Book PDF

Author : Sherif Sakr,Mohamed Gaber
Publisher : CRC Press
Page : 640 pages
File Size : 54,5 Mb
Release : 2014-06-25
Category : Computers
ISBN : 9781466581500

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Large Scale and Big Data by Sherif Sakr,Mohamed Gaber Pdf

Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.

Knowledge Graphs and Big Data Processing

Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger
Knowledge Graphs and Big Data Processing Book PDF

Author : Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger
Publisher : Springer Nature
Page : 212 pages
File Size : 51,9 Mb
Release : 2020-07-15
Category : Computers
ISBN : 9783030531997

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Knowledge Graphs and Big Data Processing by Valentina Janev,Damien Graux,Hajira Jabeen,Emanuel Sallinger Pdf

This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Big Data Management

Fausto Pedro García Márquez,Benjamin Lev
Big Data Management Book PDF

Author : Fausto Pedro García Márquez,Benjamin Lev
Publisher : Springer
Page : 267 pages
File Size : 49,9 Mb
Release : 2016-11-15
Category : Computers
ISBN : 9783319454986

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Big Data Management by Fausto Pedro García Márquez,Benjamin Lev Pdf

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

Big Data Management

Peter Ghavami
Big Data Management Book PDF

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
Page : 180 pages
File Size : 54,5 Mb
Release : 2020-11-09
Category : Business & Economics
ISBN : 9783110664324

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Big Data Management by Peter Ghavami Pdf

Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

Management Decision-Making, Big Data and Analytics

Simone Gressel,David J. Pauleen,Nazim Taskin
Management Decision Making Big Data and Analytics Book PDF

Author : Simone Gressel,David J. Pauleen,Nazim Taskin
Publisher : SAGE
Page : 354 pages
File Size : 49,5 Mb
Release : 2020-10-12
Category : Business & Economics
ISBN : 9781529738285

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Management Decision-Making, Big Data and Analytics by Simone Gressel,David J. Pauleen,Nazim Taskin Pdf

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Big Data Analytics in Supply Chain Management

Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Big Data Analytics in Supply Chain Management Book PDF

Author : Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü
Publisher : CRC Press
Page : 211 pages
File Size : 44,8 Mb
Release : 2020-12-20
Category : Computers
ISBN : 9781000326918

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Big Data Analytics in Supply Chain Management by Iman Rahimi,Amir H. Gandomi,Simon James Fong,M. Ali Ülkü Pdf

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.

Big Data

Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea
Big Data Book PDF

Author : Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea
Publisher : CRC Press
Page : 498 pages
File Size : 48,7 Mb
Release : 2015-02-23
Category : Computers
ISBN : 9781482240566

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Big Data by Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea Pdf

As today's organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages.Pre

Big Data and Analytics

Vincenzo Morabito
Big Data and Analytics Book PDF

Author : Vincenzo Morabito
Publisher : Springer
Page : 202 pages
File Size : 43,8 Mb
Release : 2015-01-31
Category : Business & Economics
ISBN : 9783319106656

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Big Data and Analytics by Vincenzo Morabito Pdf

This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of activities such as consumer profiling, market segmentation, and development of new products or services. Detailed consideration is also given to the strategic impact of Big Data and analytics on innovation in domains such as government and education and to Big Data-driven business models. The second part of the book addresses the impact of Big Data and analytics on management and organizations, focusing on challenges for governance, evaluation, and change management, while the concluding part reviews real examples of Big Data and analytics innovation at the global level. The text is supported by informative illustrations and case studies, so that practitioners can use the book as a toolbox to improve understanding and exploit business opportunities related to Big Data and analytics.

Big Data Imperatives

Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Big Data Imperatives Book PDF

Author : Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher : Apress
Page : 311 pages
File Size : 43,9 Mb
Release : 2013-08-23
Category : Computers
ISBN : 9781430248736

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Big Data Imperatives by Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa Pdf

Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

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.

Principles of Database Management

Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens
Principles of Database Management Book PDF

Author : Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens
Publisher : Cambridge University Press
Page : 817 pages
File Size : 54,7 Mb
Release : 2018-07-12
Category : Computers
ISBN : 9781107186125

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Principles of Database Management by Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens Pdf

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

New Horizons for a Data-Driven Economy

José María Cavanillas,Edward Curry,Wolfgang Wahlster
New Horizons for a Data Driven Economy Book PDF

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 55,6 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Research Anthology on Big Data Analytics, Architectures, and Applications

Information Resources Management Association
Research Anthology on Big Data Analytics Architectures and Applications Book PDF

Author : Information Resources Management Association
Publisher : Engineering Science Reference
Page : 0 pages
File Size : 48,7 Mb
Release : 2022
Category : Big data
ISBN : 1668436620

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Research Anthology on Big Data Analytics, Architectures, and Applications by Information Resources Management Association Pdf

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Guidebook for Managing Data from Emerging Technologies for Transportation

Kelley Klaver Pecheux,Benjamin B. Pecheux,Gene Ledbetter,Chris Lambert (Systems consultant)
Guidebook for Managing Data from Emerging Technologies for Transportation Book PDF

Author : Kelley Klaver Pecheux,Benjamin B. Pecheux,Gene Ledbetter,Chris Lambert (Systems consultant)
Publisher : Unknown
Page : 107 pages
File Size : 52,8 Mb
Release : 2020
Category : Database management
ISBN : 0309673496

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Guidebook for Managing Data from Emerging Technologies for Transportation by Kelley Klaver Pecheux,Benjamin B. Pecheux,Gene Ledbetter,Chris Lambert (Systems consultant) Pdf

With increased connectivity between vehicles, sensors, systems, shared-use transportation, and mobile devices, unexpected and unparalleled amounts of data are being added to the transportation domain at a rapid rate, and these data are too large, too varied in nature, and will change too quickly to be handled by the traditional database management systems of most transportation agencies. The TRB National Cooperative Highway Research Program's NCHRP Research Report 952: Guidebook for Managing Data from Emerging Technologies for Transportation provides guidance, tools, and a big data management framework, and it lays out a roadmap for transportation agencies on how they can begin to shift - technically, institutionally, and culturally - toward effectively managing data from emerging technologies. Modern, flexible, and scalable "big data" methods to manage these data need to be adopted by transportation agencies if the data are to be used to facilitate better decision-making. As many agencies are already forced to do more with less while meeting higher public expectations, continuing with traditional data management systems and practices will prove costly for agencies unable to shift.