Composition And Big Data

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Composition and Big Data

Author : Amanda Licastro
Publisher : University of Pittsburgh Press
ISBN 13 : 0822988194
Total Pages : 277 pages
Book Rating : 4.8/5 (229 download)

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Book Synopsis Composition and Big Data by : Amanda Licastro

Download or read book Composition and Big Data written by Amanda Licastro and published by University of Pittsburgh Press. This book was released on 2021-11-02 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways.

Big Data and Smart Service Systems

Author : Xiwei Liu
Publisher : Academic Press
ISBN 13 : 0128120401
Total Pages : 232 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Big Data and Smart Service Systems by : Xiwei Liu

Download or read book Big Data and Smart Service Systems written by Xiwei Liu and published by Academic Press. This book was released on 2016-11-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness. Describes the frontier of service science and motivates a discussion among readers on a multidisciplinary subject areas that explores the design of smart service Illustrates the concepts, framework, and application of big data and smart service systems Demonstrates the crucial role of smart service to promote the transformation of the regional and global economy

Structured Search for Big Data

Author : Mikhail Gilula
Publisher : Morgan Kaufmann
ISBN 13 : 012804652X
Total Pages : 114 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Structured Search for Big Data by : Mikhail Gilula

Download or read book Structured Search for Big Data written by Mikhail Gilula and published by Morgan Kaufmann. This book was released on 2015-08-26 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

Big Data to Improve Strategic Network Planning in Airlines

Author : Maximilian Schosser
Publisher : Springer Nature
ISBN 13 : 3658275820
Total Pages : 462 pages
Book Rating : 4.6/5 (582 download)

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Book Synopsis Big Data to Improve Strategic Network Planning in Airlines by : Maximilian Schosser

Download or read book Big Data to Improve Strategic Network Planning in Airlines written by Maximilian Schosser and published by Springer Nature. This book was released on 2019-09-05 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data has become an important success driver in airline network planning. Maximilian Schosser explores the status quo of network planning across a case study group consisting of nine airlines representing different business models. The author describes 23 big data opportunities for airline network planning and evaluates them based on their specific value contribution for airline network planning. Subsequently, he develops a financial evaluation methodology for big data opportunities based on key performance indicators for airline network planning departments.

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

Application of Big Data, Blockchain, and Internet of Things for Education Informatization

Author : Mian Ahmad Jan
Publisher : Springer Nature
ISBN 13 : 3030879003
Total Pages : 598 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Application of Big Data, Blockchain, and Internet of Things for Education Informatization by : Mian Ahmad Jan

Download or read book Application of Big Data, Blockchain, and Internet of Things for Education Informatization written by Mian Ahmad Jan and published by Springer Nature. This book was released on 2021-10-12 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the First International Conference International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization. The conference was held in August 2021 and due to COVID-19 pandemic virtually.The 99 revised full papers and 45 short papers have been selected from 503 submissions. The papers describe research fields such as “big data” and “information education”. The aim of the conference is to provide international cooperation and exchange platforms for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
ISBN 13 : 1799831132
Total Pages : 350 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by : Velayutham, Sathiyamoorthi

Download or read book Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing written by Velayutham, Sathiyamoorthi and published by IGI Global. This book was released on 2021-01-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Web and Big Data

Author : Yi Cai
Publisher : Springer
ISBN 13 : 3319968939
Total Pages : 481 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Web and Big Data by : Yi Cai

Download or read book Web and Big Data written by Yi Cai and published by Springer. This book was released on 2018-07-19 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 10987 and 10988, constitutes the thoroughly refereed proceedings of the Second International Joint Conference, APWeb-WAIM 2018, held in Macau, China in July 2018. The 40 full papers presented together with 30 short papers, 6 demonstration papers and 3 keynotes were carefully reviewed and selected from 168 submissions. The papers are organized around the following topics: Text Analysis, Social Networks, Recommender Systems, Information Retrieval, Machine Learning, Knowledge Graphs, Database and Web Applications, Data Streams, Data Mining and Application, Query Processing, Big Data and Blockchain.

Digital China: Big Data and Government Managerial Decision

Author : Qing Jiang
Publisher : Springer Nature
ISBN 13 : 9811997152
Total Pages : 150 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Digital China: Big Data and Government Managerial Decision by : Qing Jiang

Download or read book Digital China: Big Data and Government Managerial Decision written by Qing Jiang and published by Springer Nature. This book was released on 2023-04-04 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first practical case study on the application of big data in China's government management scenarios, which is important for comprehensively presenting the achievements of China's e-government and digital construction as well as deeply understanding the implementation of big data strategy in China. The author of this book is one of the earliest practitioners engaged in the study of big data applications, and has personally experienced the development, major events, application cases, and industry changes of big data in China. Cases in this book are all actual projects carried out. The author of this book explains the development history of big data she has personally experienced, presenting in an easy-to-understand way the basic concept and characteristics of big data and practical interpretation, which provides important reference for the practical work of government and enterprise managers. The application ideas of big data in management innovation are proposed, and scenarios are described and discussed in terms of accelerating research on sharing big data in government affairs, breaking barriers, realizing data flow information sharing, creating one-stop services, improving the corresponding policy system for sharing big data in government affairs, building public information platform for e-government, and strengthening network and information infrastructure. Especially for the government personnel in departments, this book will give them a better understanding of the charm and value of big data, intuitively understand the utilization and analysis of big data, carry out effective government management and make correct decisions, so as to improve the data literacy of organizations and individuals, form scientific support for their own government's decision-making and management, thus promote the continued construction of digital government, digital China, and digital economy era based on the application of big data.

Medical Big Data and Internet of Medical Things

Author : Aboul Ella Hassanien
Publisher : CRC Press
ISBN 13 : 135103037X
Total Pages : 340 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Medical Big Data and Internet of Medical Things by : Aboul Ella Hassanien

Download or read book Medical Big Data and Internet of Medical Things written by Aboul Ella Hassanien and published by CRC Press. This book was released on 2018-10-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Enterprise Big Data Engineering, Analytics, and Management

Author : Atzmueller, Martin
Publisher : IGI Global
ISBN 13 : 1522502947
Total Pages : 272 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Enterprise Big Data Engineering, Analytics, and Management by : Atzmueller, Martin

Download or read book Enterprise Big Data Engineering, Analytics, and Management written by Atzmueller, Martin and published by IGI Global. This book was released on 2016-06-01 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.

HPC, Big Data, and AI Convergence Towards Exascale

Author : Olivier Terzo
Publisher : CRC Press
ISBN 13 : 100048517X
Total Pages : 276 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis HPC, Big Data, and AI Convergence Towards Exascale by : Olivier Terzo

Download or read book HPC, Big Data, and AI Convergence Towards Exascale written by Olivier Terzo and published by CRC Press. This book was released on 2022-01-14 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: HPC, Big Data, AI Convergence Towards Exascale provides an updated vision on the most advanced computing, storage, and interconnection technologies, that are at basis of convergence among the HPC, Cloud, Big Data, and artificial intelligence (AI) domains. Through the presentation of the solutions devised within recently founded H2020 European projects, this book provides an insight on challenges faced by integrating such technologies and in achieving performance and energy efficiency targets towards the exascale level. Emphasis is given to innovative ways of provisioning and managing resources, as well as monitoring their usage. Industrial and scientific use cases give to the reader practical examples of the needs for a cross-domain convergence. All the chapters in this book pave the road to new generation of technologies, support their development and, in addition, verify them on real-world problems. The readers will find this book useful because it provides an overview of currently available technologies that fit with the concept of unified Cloud-HPC-Big Data-AI applications and presents examples of their actual use in scientific and industrial applications.

Reinventing Capitalism in the Age of Big Data

Author : Viktor Mayer-Schönberger
Publisher : Basic Books
ISBN 13 : 0465093698
Total Pages : 288 pages
Book Rating : 4.4/5 (65 download)

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Book Synopsis Reinventing Capitalism in the Age of Big Data by : Viktor Mayer-Schönberger

Download or read book Reinventing Capitalism in the Age of Big Data written by Viktor Mayer-Schönberger and published by Basic Books. This book was released on 2018-02-27 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the New York Times bestselling author of Big Data, a prediction for how data will revolutionize the market economy and make cash, banks, and big companies obsolete In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schönberger, bestselling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. This is the dawn of the era of data capitalism. Will it be an age of prosperity or of calamity? This book provides the indispensable roadmap for securing a better future.

Big Data Computing

Author : Rajendra Akerkar
Publisher : CRC Press
ISBN 13 : 1466578386
Total Pages : 564 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data Computing by : Rajendra Akerkar

Download or read book Big Data Computing written by Rajendra Akerkar and published by CRC Press. This book was released on 2013-12-05 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches. Comprised of five sections, the book focuses on: What Big Data is and why it is important Semantic technologies Tools and methods Business and economic perspectives Big Data applications across industries

Big Data in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1119231396
Total Pages : 320 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data in Practice by : Bernard Marr

Download or read book Big Data in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2016-03-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

Big Data Integration Theory

Author : Zoran Majkić
Publisher : Springer Science & Business Media
ISBN 13 : 3319041568
Total Pages : 516 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Big Data Integration Theory by : Zoran Majkić

Download or read book Big Data Integration Theory written by Zoran Majkić and published by Springer Science & Business Media. This book was released on 2014-01-23 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-peer. Database mappings, database programming languages, and denotational and operational semantics are discussed in depth. An analysis method is also developed that combines techniques from second order logic, data modeling, co-algebras and functorial categorial semantics. Features: provides an introduction to logics, co-algebras, databases, schema mappings and category theory; describes the core concepts of big data integration theory, with examples; examines the properties of the DB category; defines the categorial RDB machine; presents full operational semantics for database mappings; discusses matching and merging operators for databases, universal algebra considerations and algebraic lattices of the databases; explores the relationship of the database weak monoidal topos w.r.t. intuitionistic logic.

GB/T 22239-2019 Translated English of Chinese Standard. (GBT 22239-2019, GB/T22239-2019, GBT22239-2019)

Author : https://www.chinesestandard.net
Publisher : https://www.chinesestandard.net
ISBN 13 :
Total Pages : 145 pages
Book Rating : 4./5 ( download)

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Book Synopsis GB/T 22239-2019 Translated English of Chinese Standard. (GBT 22239-2019, GB/T22239-2019, GBT22239-2019) by : https://www.chinesestandard.net

Download or read book GB/T 22239-2019 Translated English of Chinese Standard. (GBT 22239-2019, GB/T22239-2019, GBT22239-2019) written by https://www.chinesestandard.net and published by https://www.chinesestandard.net. This book was released on 2020-01-04 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This standard specifies the general security requirements and security extension requirements for the project under classified protection from level 1 to level 4 of the classified protection of cybersecurity.