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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 :
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

Author : Xiangke Liao
Publisher : Springer Nature
ISBN 13 : 9811697094
Total Pages : 334 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Big Data by : Xiangke Liao

Download or read book Big Data written by Xiangke Liao and published by Springer Nature. This book was released on 2022-01-14 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022. The 21 full papers presented in this volume were carefully reviewed and selected from 66 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 Using Hadoop and Hive

Author : Nitin Kumar
Publisher : Mercury Learning and Information
ISBN 13 : 1683926439
Total Pages : 237 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Big Data Using Hadoop and Hive by : Nitin Kumar

Download or read book Big Data Using Hadoop and Hive written by Nitin Kumar and published by Mercury Learning and Information. This book was released on 2021-03-24 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build distributed, scalable concurrent big data applications. Hive will be used for reading, writing, and managing the large, data set files. The book is a concise guide on getting started with an overall understanding on Apache Hadoop and Hive and how they work together to speed up development with minimal effort. It will refer to simple concepts and examples, as they are likely to be the best teaching aids. It will explain the logic, code, and configurations needed to build a successful, distributed, concurrent application, as well as the reason behind those decisions. FEATURES: Shows how to leverage the open-source software Hadoop and Hive to build distributed, scalable, concurrent big data applications Includes material on Hive architecture with various storage types and the Hive query language Features a chapter on big data and how Hadoop can be used to solve the changes around it Explains the basic Hadoop setup, configuration, and optimization

Internet of Things – ICIOT 2021

Author : Bedir Tekinerdogan
Publisher : Springer Nature
ISBN 13 : 3030960684
Total Pages : 133 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Internet of Things – ICIOT 2021 by : Bedir Tekinerdogan

Download or read book Internet of Things – ICIOT 2021 written by Bedir Tekinerdogan and published by Springer Nature. This book was released on 2022-02-17 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 6th International Conference on Internet of Things, ICIOT 2021, held virtually as part of SCF 2021, during December 10-14, 2021. The 8 full papers presented in this volume were carefully reviewed and selected from numerous submissions. The conference Internet of Things (ICIOT 2021) covers state-of-the-art technologies and best practices of Internet of Things, as well as emerging standards and research topics which would define the future of Internet of Things.

Artificial Intelligence and Mobile Services – AIMS 2021

Author : Yi Pan
Publisher : Springer Nature
ISBN 13 : 3030960331
Total Pages : 123 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Artificial Intelligence and Mobile Services – AIMS 2021 by : Yi Pan

Download or read book Artificial Intelligence and Mobile Services – AIMS 2021 written by Yi Pan and published by Springer Nature. This book was released on 2022-02-13 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 10th International Conference on Artificial Intelligence and Mobile Services, AIMS 2021, held as a virtual conference as part of SCF 2021, during December 10-14, 2021. The 9 full presented were carefully reviewed and selected from 20 submissions. They cover topics in AI Modeling, AI Analysis, AI and Mobile Applications, AI Architecture, AI Management, AI Engineering, mobile backend as a service (MBaaS), user experience of AI and mobile services.

Encyclopedia of Data Science and Machine Learning

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1799892212
Total Pages : 3296 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John

Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

Educational Data Science

Author : Alejandro Peña-Ayala
Publisher : Springer Nature
ISBN 13 : 9819900263
Total Pages : 299 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Educational Data Science by : Alejandro Peña-Ayala

Download or read book Educational Data Science written by Alejandro Peña-Ayala and published by Springer Nature. This book was released on 2023 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!

Big Data

Author : Kiran Sood
Publisher : Emerald Group Publishing
ISBN 13 : 1802626050
Total Pages : 448 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 448 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.

Blockchain Technology in Healthcare Applications

Author : Bharat Bhushan
Publisher : CRC Press
ISBN 13 : 100056889X
Total Pages : 346 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Blockchain Technology in Healthcare Applications by : Bharat Bhushan

Download or read book Blockchain Technology in Healthcare Applications written by Bharat Bhushan and published by CRC Press. This book was released on 2022-04-18 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tremendous growth in healthcare treatment techniques and methods has led to the emergence of numerous storage and communication problems and need for security among vendors and patients. This book brings together latest applications and state-of-the-art developments in healthcare sector using Blockchain technology. It explains how blockchain can enhance security, privacy, interoperability, and data accessibility including AI with blockchains, blockchains for medical imaging to supply chain management, and centralized management/clearing houses alongside DLT. Features: Includes theoretical concepts, empirical studies and detailed overview of various aspects related to development of healthcare applications from a reliable, trusted, and secure data transmission perspective. Provide insights on business applications of Blockchain, particularly in the healthcare sector. Explores how Blockchain can solve the transparency issues in the clinical research. Discusses AI with Blockchains, ranging from medical imaging to supply chain management. Reviews benchmark testing of AI with Blockchains and its impacts upon medical uses. This book aims at researchers and graduate students in healthcare information systems, computer and electrical engineering.

Next-Generation Enterprise Security and Governance

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 1000569756
Total Pages : 265 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Next-Generation Enterprise Security and Governance by : Mohiuddin Ahmed

Download or read book Next-Generation Enterprise Security and Governance written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2022-04-19 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet is making our daily lives as digital as possible, and this new era is called the Internet of Everything (IoE). The key force behind the rapid growth of the Internet is the technological advancement of enterprises. The digital world we live in is facilitated by these enterprises’ advances and business intelligence. These enterprises need to deal with gazillions of bytes of data, and in today’s age of General Data Protection Regulation, enterprises are required to ensure privacy and security of large-scale data collections. However, the increased connectivity and devices used to facilitate IoE are continually creating more room for cybercriminals to find vulnerabilities in enterprise systems and flaws in their corporate governance. Ensuring cybersecurity and corporate governance for enterprises should not be an afterthought or present a huge challenge. In recent times, the complex diversity of cyber-attacks has been skyrocketing, and zero-day attacks, such as ransomware, botnet, and telecommunication attacks, are happening more frequently than before. New hacking strategies would easily bypass existing enterprise security and governance platforms using advanced, persistent threats. For example, in 2020, the Toll Group firm was exploited by a new crypto-attack family for violating its data privacy, where an advanced ransomware technique was launched to exploit the corporation and request a huge figure of monetary ransom. Even after applying rational governance hygiene, cybersecurity configuration and software updates are often overlooked when they are most needed to fight cyber-crime and ensure data privacy. Therefore, the threat landscape in the context of enterprises has become wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of this network. In this context, this book addresses the cybersecurity and cooperate governance challenges associated with enterprises, which will provide a bigger picture of the concepts, intelligent techniques, practices, and open research directions in this area. This book serves as a single source of reference for acquiring the knowledge on the technology, process, and people involved in next-generation privacy and security.

Information Integration and Web Intelligence

Author : Eric Pardede
Publisher : Springer Nature
ISBN 13 : 3031210476
Total Pages : 594 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Information Integration and Web Intelligence by : Eric Pardede

Download or read book Information Integration and Web Intelligence written by Eric Pardede and published by Springer Nature. This book was released on 2022-11-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes the papers presented at the 24th International Conference on Information Integration and Web Intelligence (iiWAS 2022), organized in conjunction with 24th International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2022). The dominant research focus of submitted papers was artificial intelligence and machine learning. The accepted papers presented advances and innovations in an array of areas such as internet of things, virtual and augmented reality, various business applications. iiWAS 2022 attracted 97 papers, from which the Program Committee selected 26 regular papers and 25 short papers. Due to safety concerns as well as other restrictions preventing travel and gatherings, it was decided to organize iiWAS 2022 as a virtual conference.

Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse

Author : Khang, Alex
Publisher : IGI Global
ISBN 13 : 1668488531
Total Pages : 554 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse by : Khang, Alex

Download or read book Handbook of Research on AI-Based Technologies and Applications in the Era of the Metaverse written by Khang, Alex and published by IGI Global. This book was released on 2023-07-03 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent advancements in the field of the internet of things (IoT), AI, big data, blockchain, augmented reality (AR)/virtual reality (VR), cloud platforms, quantum computing, cybersecurity, and telecommunication technology enabled the promotion of conventional computer-aided industry to the metaverse ecosystem that is powered by AR/VR-driven technologies. In this paradigm shift, the integrated technologies of IoT and AI play a vital role to connect the cyberspace of computing systems and virtual environments. AR/VR supports a huge range of industrial applications such as logistics, the food industry, and manufacturing utilities. AI-Based Technologies and Applications in the Era of the Metaverse discusses essential components of the metaverse ecosystem such as concepts, methodologies, technologies, modeling, designs, statistics, implementation, and maintenance. Covering key topics such as machine learning, deep learning, quantum computing, and blockchain, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

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:

Bioinformatics Tools and Big Data Analytics for Patient Care

Author : Rishabha Malviya
Publisher : CRC Press
ISBN 13 : 1000638901
Total Pages : 357 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Bioinformatics Tools and Big Data Analytics for Patient Care by : Rishabha Malviya

Download or read book Bioinformatics Tools and Big Data Analytics for Patient Care written by Rishabha Malviya and published by CRC Press. This book was released on 2022-08-31 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

High-Performance Big Data Computing

Author : Dhabaleswar K. Panda
Publisher : MIT Press
ISBN 13 : 0262046857
Total Pages : 275 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis High-Performance Big Data Computing by : Dhabaleswar K. Panda

Download or read book High-Performance Big Data Computing written by Dhabaleswar K. Panda and published by MIT Press. This book was released on 2022-08-02 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.