Download or read book 101 e Insanely Great e Resources Big Data written by Benjamin Kerschberg and published by eBook Partnership. This book was released on 2014-04-03 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: 101 "e;Insanely Great"e; Resources -- BIG DATA is an easy-to-use introduction to the world of Big Data, particularly to 101 important resources for understanding the topic. It is filled with embedded links that take you directly to the Big Data section of a particular resources or to more specific sites such as Data Science Central or journals.

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

Download or read book Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.

Download or read book Progressive Trends in Electronic Resource Management in Libraries written by Patra, Nihar K. and published by IGI Global. This book was released on 2013-11-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: As physical collections go digital, the organizational procedures, budgets, and usage patterns of libraries must evolve to meet this change by identifying the various issues that are essential in understanding the management of e-resources. Progressive Trends in Electronic Resource Management in Libraries provides relevant theoretical and practical details from an international perspective on the current e-resources landscape. Through a detailed discussion of the specific aspects of e-resources management, this book is a useful source for library science faculty and students, academic librarians, research scholars, and IT professionals aiming to improve their understanding of the theoretical details, history, selection, acquisition, fair use and management of e-resources.

Download or read book Electronic Scientific Technical and Medical Journal Publishing and Its Implications written by National Research Council and published by National Academies Press. This book was released on 2005-05-24 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report is the proceedings of a 2003 symposium on "Electronic Scientific, Technical, and Medical Journal Publishing and Its Implications," which brought together experts in STM publishing, both producers and users of these publications, to: (1) identify the recent technical changes in publishing, and other factors, that influence the decisions of journal publishers to produce journals electronically; (2) identify the needs of the scientific, engineering, and medical community as users of journals, whether electronic or printed; (3) discuss the responses of not-for-profit and commercial STM publishers and of other stakeholders in the STM community to the opportunities and challenges posed by the shift to electronic publishing; and (4) examine the spectrum of proposals that has been put forth to respond to the needs of users as the publishing industry shifts to electronic information production and dissemination.

Download or read book Big Data 2 0 Processing Systems written by Sherif Sakr and published by Springer. This book was released on 2016-08-24 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers the “big picture” and a comprehensive survey of the domain of big data processing systems. For the past decade, the Hadoop framework has dominated the world of big data processing, yet recently academia and industry have started to recognize its limitations in several application domains and big data processing scenarios such as the large-scale processing of structured data, graph data and streaming data. Thus, it is now gradually being replaced by a collection of engines that are dedicated to specific verticals (e.g. structured data, graph data, and streaming data). The book explores this new wave of systems, which it refers to as Big Data 2.0 processing systems. After Chapter 1 presents the general background of the big data phenomena, Chapter 2 provides an overview of various general-purpose big data processing systems that allow their users to develop various big data processing jobs for different application domains. In turn, Chapter 3 examines various systems that have been introduced to support the SQL flavor on top of the Hadoop infrastructure and provide competing and scalable performance in the processing of large-scale structured data. Chapter 4 discusses several systems that have been designed to tackle the problem of large-scale graph processing, while the main focus of Chapter 5 is on several systems that have been designed to provide scalable solutions for processing big data streams, and on other sets of systems that have been introduced to support the development of data pipelines between various types of big data processing jobs and systems. Lastly, Chapter 6 shares conclusions and an outlook on future research challenges. Overall, the book offers a valuable reference guide for students, researchers and professionals in the domain of big data processing systems. Further, its comprehensive content will hopefully encourage readers to pursue further research on the subject.

Download or read book Health Informatics Sixth Edition Supplement Practical Guide for Healthcare and Information Technology Professionals written by Ann K. Yoshihashi and published by Lulu.com. This book was released on 2016-11-15 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health Informatics: Practical Guide for Health and Information Technology Professionals Sixth Edition Supplement adds 3 new chapters. The supplement has learning objectives, case studies, recommended reading, future trends, key points, and references. Introduction to Data Science, provides a comprehensive overview with topics including databases, machine learning, big data and predictive analytics. Clinical Decision Support (CDS), covers current and salient aspects of CDS functionality, implementation, benefits, challenges and lessons learned. International Health Informatics, highlights the informatics initiatives of developed and developing countries on each continent. Available as a paperback and eBook. For more information about the textbook, visit www.informaticseducation.org. For instructors, an Instructor Manual, PDF version and PowerPoint slides are available under the Instructor's tab.

Download or read book Demystifying Big Data Analytics for Industries and Smart Societies written by Keshav Kaushik and published by CRC Press. This book was released on 2023-09-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems. Practical examples and case studies to help readers understand complex concepts. Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics. Clear and concise language that is easy to understand. This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.

Download or read book Handbook of Research on Big Data and the IoT written by Kaur, Gurjit and published by IGI Global. This book was released on 2019-03-29 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

Download or read book Privacy Law Enforcement and National Security written by Daniel J. Solove and published by Aspen Publishing. This book was released on 2023-12-29 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buy a new version of this textbook and receive access to the Connected eBook on Casebook Connect, including lifetime access to the online ebook with highlight, annotation, and search capabilities. Access also includes an outline tool and other helpful resources. Connected eBooks provide what you need most to be successful in your law school classes. A clear, comprehensive, and cutting-edge introduction to the field of information privacy law with a focus on law enforcement and national security issues. This volume contains the latest cases and materials exploring issues of emerging technology, information privacy, privacy and law enforcement, national security, and foreign intelligence. New to the 4th Edition: Tighter editing and shorter chapters New section about AI and algorithms in law enforcement New case on algorithmic decision-making: Loomis v. Wisconsin Discussion of post-Carpenter cases New Appendix A: Full text of the Electronic Communications Privacy Act New Appendix B: Full text of the Foreign Intelligence Surveillance Act

Download or read book Handbook of Research on Artificial Intelligence in Human Resource Management written by Strohmeier, Stefan and published by Edward Elgar Publishing. This book was released on 2022-03-08 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation.

Download or read book IoT and Big Data Analytics for Smart Cities written by Sathiyaraj Rajendran and published by CRC Press. This book was released on 2022-12-01 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective, emphasizes the challenges, architectural models, and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days, such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers in the area of computer science and information technology will also find this book useful.

Download or read book Protecting Individuals Against the Negative Impact of Big Data written by Manon Oostveen and published by Kluwer Law International B.V.. This book was released on 2018-07-13 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the contemporary information society, organisations increasingly rely on the collection and analysis of large-scale data (popularly called ‘big data’) to make decisions. These processes, which take place largely beyond the individual’s knowledge, produce a cascade of effects that go beyond privacy and data protection. Should we focus on the possibilities of tackling these often negative effects through other areas of law, or maybe even find new solutions to cope with the dark side of big data? This ground-breaking book is the first to address this crucially important question in detail. Among the issues raised in the analysis are such vital elements as the following: − what is meant by ‘big data’; – ‘privacy’ according to the European Court of Human Rights and the Court of Justice of the European Union; – what the European Union legal framework on privacy and data protection consists of and how it functions in the light of big data; – what companies, governments and other organisations are permitted to do with big data under the current regulatory framework; – the central importance of personal autonomy; – circumstances that influence whether or not the right to privacy is triggered; – big data’s possible impact on democracy through, inter alia, potentially limiting freedom of expression; – how governmental or corporate surveillance chills the receiver’s gathering of information and ideas; – selective offering of choices or information, or manipulation of people’s ideas; – procedural aspects that influence the extrapolation of normative concepts of privacy and data protection; and – how discrimination occurs in big data. This book foregrounds a critical scrutiny of commercial uses of big data – its scale, its limited capacity for independent oversight and the expected prevalence of interference with individuals’ rights. The author’s conclusions explore possible legal alternatives to mitigate the negative impact of big data, using legal instruments, case law and legal academic literature in her analysis. Because the amount of digital data keeps growing and the private lives of individuals are increasingly taking place online – and because of the opacity of the big data process, the fundamental values that are at stake, and the speed of technological developments compared to the pace of legal reform – this comprehensive assessment of flaws in the current framework and possible practical solutions will be warmly welcomed by practitioners, policymakers and government officials in all legal fields related to privacy and data protection.

Download or read book Advances in Data Science and Intelligent Data Communication Technologies for COVID 19 written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2021-07-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.

Download or read book Information Privacy Law written by Daniel J. Solove and published by Aspen Publishing. This book was released on 2023-12-13 with total page 1184 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear, comprehensive, and cutting-edge introduction to the field of information privacy law, with the latest cases and materials exploring issues of emerging technology, information privacy, algorithmic decisions, AI, data security, and European data protection law. New to the 8th Edition: Tighter editing and shorter chapters New sections about AI and algorithms in law enforcement (Chapter 4), consumer privacy (Chapter 9), and employment privacy (Chapter 12) New cases: MD Anderson, Loomis v. Wisconsin, Clearview AI Discussion of post-Carpenter cases Discussion of new FTC enforcement cases involving dark patterns and algorithm deletion Discussion of protections of reproductive health data after Dobbs Benefits for instructors and students: Extensive coverage of FTC privacy enforcement, HIPAA and HHS enforcement, and standing in privacy lawsuits, among other topics Chapters devoted exclusively to data security, national security, employment privacy, and education privacy Sections on government surveillance and freedom to explore ideas Engaging approach to complicated laws and regulations such as HIPAA, FCRA, ECPA, GDPR, and CCPA

Download or read book A Decade of World E Government Rankings written by T. Obi and published by IOS Press. This book was released on 2015-09-08 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of e-Government has emerged alongside the developments in information technology in recent decades, and has become an increasingly important factor in all our lives. It has faced a wide range of challenges from the changing technologies of the internet/digital economy, such as IOT, big data, cloud and 4G mobile, as well as the rapid growth of ICT innovations and applications. The Institute of e-Government at Waseda University, Japan, was established in 2001, and this book is the latest in the series of e-Government ranking surveys published by the Institute since 2005. The book is divided into three parts, the first of which is an overview of the e-Government ranking survey including a section on historical trends, the 2015 ranking and e-Government ranking by indicators. The second part covers findings and trends, and includes analysis in the fields of digital/internet economy, IOT, cloud, open/big data, cyber security, smart cities, social media and e-aging. The last section presents 63 country reports. The lessons learnt from the best practices explode in this book will contribute greatly to the work of all those involved in setting up, developing and improving e-Government worldwide.

Download or read book Proceedings of the International Congress on Information and Communication Technology written by Suresh Chandra Satapathy and published by Springer. This book was released on 2016-06-04 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains 69 papers presented at ICICT 2015: International Congress on Information and Communication Technology. The conference was held during 9th and 10th October, 2015, Udaipur, India and organized by CSI Udaipur Chapter, Division IV, SIG-WNS, SIG-e-Agriculture in association with ACM Udaipur Professional Chapter, The Institution of Engineers (India), Udaipur Local Centre and Mining Engineers Association of India, Rajasthan Udaipur Chapter. This volume contains papers mainly focused on ICT for Managerial Applications, E-governance, IOT and E-Mining.