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Big Data – BigData 2020

Author : Surya Nepal
Publisher : Springer Nature
ISBN 13 : 3030596125
Total Pages : 264 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Big Data – BigData 2020 by : Surya Nepal

Download or read book Big Data – BigData 2020 written by Surya Nepal and published by Springer Nature. This book was released on 2020-09-17 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 3 short papers presented were carefully reviewed and selected from 52 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

Big Data

Author :
Publisher :
ISBN 13 : 9789811607066
Total Pages : 261 pages
Book Rating : 4.6/5 (7 download)

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Book Synopsis Big Data by :

Download or read book Big Data written by and published by . This book was released on 2021 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.

Big Data – BigData 2021

Author : Jinpeng Wei
Publisher : Springer Nature
ISBN 13 : 3030962822
Total Pages : 129 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Big Data – BigData 2021 by : Jinpeng Wei

Download or read book Big Data – BigData 2021 written by Jinpeng Wei and published by Springer Nature. This book was released on 2022-02-15 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Big Data, BigData 2021, held online as part of SCF 2021, during December 10-14, 2021. The 6 full and 2 short papers presented were carefully reviewed and selected from 53 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

Big Data

Author : James Warren
Publisher : Simon and Schuster
ISBN 13 : 1638351104
Total Pages : 481 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Big Data by : James Warren

Download or read book Big Data written by James Warren and published by Simon and Schuster. This book was released on 2015-04-29 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth

Big Data

Author : Hong Mei
Publisher : Springer Nature
ISBN 13 : 9811607052
Total Pages : 261 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Big Data by : Hong Mei

Download or read book Big Data written by Hong Mei and published by Springer Nature. This book was released on 2021-03-31 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.

Small Summaries for Big Data

Author : Graham Cormode
Publisher : Cambridge University Press
ISBN 13 : 1108477445
Total Pages : 279 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Small Summaries for Big Data by : Graham Cormode

Download or read book Small Summaries for Big Data written by Graham Cormode and published by Cambridge University Press. This book was released on 2020-11-12 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to flexible, efficient tools for describing massive data sets to improve the scalability of data analysis.

Big Data SMACK

Author : Raul Estrada
Publisher : Apress
ISBN 13 : 1484221753
Total Pages : 277 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Big Data SMACK by : Raul Estrada

Download or read book Big Data SMACK written by Raul Estrada and published by Apress. This book was released on 2016-09-29 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses. Big Data SMACK explains each of the full-stack technologies and, more importantly, how to best integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation. This book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by every technology. It covers the six main concepts of big data architecture and how integrate, replace, and reinforce every layer: The language: Scala The engine: Spark (SQL, MLib, Streaming, GraphX) The container: Mesos, Docker The view: Akka The storage: Cassandra The message broker: Kafka What You Will Learn: Make big data architecture without using complex Greek letter architectures Build a cheap but effective cluster infrastructure Make queries, reports, and graphs that business demands Manage and exploit unstructured and No-SQL data sources Use tools to monitor the performance of your architecture Integrate all technologies and decide which ones replace and which ones reinforce Who This Book Is For: Developers, data architects, and data scientists looking to integrate the most successful big data open stack architecture and to choose the correct technology in every layer

Big Data – BigData 2023

Author : Shunli Zhang
Publisher : Springer Nature
ISBN 13 : 3031447255
Total Pages : 239 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Big Data – BigData 2023 by : Shunli Zhang

Download or read book Big Data – BigData 2023 written by Shunli Zhang and published by Springer Nature. This book was released on 2023-09-22 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference, BigData 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, during September 23–26, 2023. The 14 full papers presented together with 2 short papers were carefully reviewed and selected from 27 submissions. The conference focuses on research track and application track.

Advances in Intelligent Networking and Collaborative Systems

Author : Leonard Barolli
Publisher : Springer Nature
ISBN 13 : 3030849104
Total Pages : 351 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Intelligent Networking and Collaborative Systems by : Leonard Barolli

Download or read book Advances in Intelligent Networking and Collaborative Systems written by Leonard Barolli and published by Springer Nature. This book was released on 2021-08-06 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems. With the fast development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of people's connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations strongly leverage intelligent networking and collaborative systems by a great variety of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and in an autonomous way. In addition, latest and powerful technologies based on grid and wireless infrastructure as well as cloud computing are currently enhancing collaborative and networking applications a great deal but also facing new issues and challenges. The principal purpose of the research and development community is to stimulate research that will lead to the creation of responsive environments for networking and, at longer-term, the development of adaptive, secure, mobile and intuitive intelligent systems for collaborative work and learning.

Big Data Analytics

Author : Ümit Demirbaga
Publisher : Springer Nature
ISBN 13 : 3031556399
Total Pages : 299 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Big Data Analytics by : Ümit Demirbaga

Download or read book Big Data Analytics written by Ümit Demirbaga and published by Springer Nature. This book was released on with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data Intelligence for Smart Applications

Author : Youssef Baddi
Publisher : Springer Nature
ISBN 13 : 3030879542
Total Pages : 343 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Big Data Intelligence for Smart Applications by : Youssef Baddi

Download or read book Big Data Intelligence for Smart Applications written by Youssef Baddi and published by Springer Nature. This book was released on 2022-01-18 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.

Advanced Information Networking and Applications

Author : Leonard Barolli
Publisher : Springer Nature
ISBN 13 : 3030750752
Total Pages : 797 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advanced Information Networking and Applications by : Leonard Barolli

Download or read book Advanced Information Networking and Applications written by Leonard Barolli and published by Springer Nature. This book was released on 2021-04-26 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications, different kinds of networks need to collaborate, and wired and next-generation wireless systems should be integrated in order to develop high-performance computing solutions to problems arising from the complexities of these networks. The aim of the book “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.

Intelligent Systems for Smart Cities

Author : Anand J. Kulkarni
Publisher : Springer Nature
ISBN 13 : 9819969840
Total Pages : 522 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Systems for Smart Cities by : Anand J. Kulkarni

Download or read book Intelligent Systems for Smart Cities written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2024-01-02 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the select proceedings of the 2nd International Conference on Intelligent Systems and Applications 2023. The theme of this conference is ‘Intelligent Systems for Smart Cities'. It covers the topics of intelligent systems in multiple aspects such as healthcare, supply chain and logistics, smart homes and smart structures, banking and finance, a sustainable environment, social media and cyber security, crime prevention, and disaster management. The book will be useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.

Big Data Analytics and Knowledge Discovery

Author : Robert Wrembel
Publisher : Springer Nature
ISBN 13 : 3031683234
Total Pages : 409 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Big Data Analytics and Knowledge Discovery by : Robert Wrembel

Download or read book Big Data Analytics and Knowledge Discovery written by Robert Wrembel and published by Springer Nature. This book was released on with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data Analytics Techniques for Market Intelligence

Author : Darwish, Dina
Publisher : IGI Global
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Big Data Analytics Techniques for Market Intelligence by : Darwish, Dina

Download or read book Big Data Analytics Techniques for Market Intelligence written by Darwish, Dina and published by IGI Global. This book was released on 2024-01-04 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.

Big Data in Education

Author : Ben Williamson
Publisher : SAGE
ISBN 13 : 1526416328
Total Pages : 281 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Big Data in Education by : Ben Williamson

Download or read book Big Data in Education written by Ben Williamson and published by SAGE. This book was released on 2017-07-24 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!

Big Data

Author : Kiran Sood
Publisher : Emerald Group Publishing
ISBN 13 : 1802626077
Total Pages : 283 pages
Book Rating : 4.8/5 (26 download)

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Book Synopsis Big Data by : Kiran Sood

Download or read book Big Data written by Kiran Sood and published by Emerald Group Publishing. This book was released on 2022-07-19 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Striking a balance between the technical characteristics of the subject and the practical aspects of decision making, spanning from fraud analytics in claims management, to customer analytics, to risk analytics in solvency, the comprehensive coverage presented makes Big Data an invaluable resource for any insurance professional.