Download or read book Sistemas de Big Data written by Victor Manuel López Fandiño and published by Ra-Ma Editorial. This book was released on 2023-05-30 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: El concepto de Big Data no solo hace referencia a grandes colecciones de datos, caracterizadas tanto por su volumen como por la variedad de formatos, sino que incluye también los sistemas y las tecnologías encargadas de almacenar, procesar y dar valor a toda esa información. La motivación para gestionar y analizar estos datos surge de la evidencia de que el estudio de estos grandes volúmenes permite adquirir un conocimiento que no es posible abordando solo conjuntos pequeños. De forma clara y didáctica, el presente libro proporciona una idea panorámica y completa de los diferentes sistemas involucrados en el tratamiento del dato. Esta visión general facilita al lector la comprensión sencilla de los temas tratados, y proporciona el posicionamiento y la asimilación de los distintos elementos que componen el ecosistema de tecnologías, servicios y soluciones de Big Data. Comenzando por las arquitecturas para la organización de la información, el libro se adentra en los sistemas para el almacenamiento y procesado del dato, llegando después a las distintas formas de explotación analítica: descriptiva, predictiva, prescriptiva y cognitiva. El gobierno del dato y la gestión de las distintas operaciones involucradas cierran este amplio e interesante recorrido. Los contenidos adaptados al Curso de Especialización en Inteligencia Artificial y Big Data.

Download or read book Big data written by Patricia Fernández, Eva (coord.) and published by Editorial UOC. This book was released on 2017-02-27 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: El big data, entendido como la gestión y el almacenamiento masivo de datos, es una tendencia por explotar a día de hoy. La industria audiovisual, consciente de ello, empieza a orientar estrategias de negocio con ideas de personalización de contenidos, segmentación de perfiles o predicción de tendencias. Comprender todas las posibilidades que nos ofrece el big data supone entender las dinámicas internas del negocio, así como las fuentes de datos de las que podemos extraer información y la interacción que podemos realizar con ellas. Y también nos permite formular mejores preguntas y tomar decisiones acertadas. Este libro ofrece un recorrido por el proceso de gestión de datos en la empresa, con introducción de explicaciones técnicas y especial atención a la toma de decisiones del business intelligence.

Download or read book Cloud Computing Big Data Emerging Topics written by Marcelo Naiouf and published by Springer Nature. This book was released on 2023-09-11 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the 11th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2023, held in La Plata, Argentina*, in June 2023. The 14 full papers were carefully reviewed and selected from a total of 38 submissions. The papers are organized in topical sections on: Parallel and Distributed Computing, Big Data, Machine and Deep Learning, Smart Cities and E-Government, Visualization.

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Download or read book Fundamentos de los sistemas de implementaci n de protecci n social written by Kathy Lindert and published by World Bank Publications. This book was released on 2023-01-13 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentos de los sistemas de implementación de protección social: Libro de referencia sintetiza las experiencias reales y las lecciones aprendidas de la aplicación de estos sistemas en todo el mundo mostrando una perspectiva amplia de la protección social sobre diversas poblaciones objetivo, como familias pobres o de bajos ingresos, trabajadores en situación de desempleo, personas en condición de discapacidad y personas en situación de riesgo social. El libro analiza diferentes tipos de intervenciones de los gobiernos para ayudar a las personas, familias u hogares mediante programas categóricos, programas contra la pobreza, programas y servicios laborales, prestaciones y servicios por discapacidad, y servicios sociales. El libro de referencia aborda preguntas concretas sobre procedimientos, el «cómo», entre las que se encuentran: ¿Cómo distribuyen los países los beneficios y servicios sociales? ¿Cómo logran hacerlo de forma eficaz y eficiente? ¿Cómo garantizan la inclusión dinámica, sobre todo para las personas más vulnerables y necesitadas? ¿Cómo promueven una mejor coordinación e integración, no sólo entre los programas de protección social, sino también entre programas de otros sectores del gobierno? ¿Cómo pueden responder a las necesidades de sus poblaciones objetivo y proporcionar una mejor experiencia al cliente? El marco de sistemas de implementación profundiza en los elementos clave de ese entorno operativo. Dicho marco se basa en fases esenciales a lo largo de la cadena de implementación. Los actores principales, como las personas y las instituciones, interactúan a lo largo de esta cadena a través de las comunicaciones, los sistemas de información y la tecnología. Este marco se puede aplicar a la implementación de uno o varios programas y a la implementación de la protección social adaptativa. El libro de referencia se estructura en torno a ocho principios que encuadran el concepto de los sistemas de implementación: 1. No hay un modelo único para los sistemas de implementación, pero existen puntos en común que constituyen el núcleo del marco de los sistemas de implementación. 2. La calidad de la implementación es importante: Las debilidades en alguno de los elementos principales afectarán negativamente a todo el sistema, lo que, a su vez, reducirá el impacto de los programas a los que dan apoyo. 3. Los sistemas de implementación evolucionan a lo largo del tiempo de forma no lineal, y los puntos de partida son fundamentales. 4. Es necesario buscar «la sencillez» y «hacer bien lo sencillo» desde el inicio. 5. La «primera milla» (la interfaz mediante la cual las personas interaccionan directamente con las funciones administrativas) suele ser el eslabón más débil en la cadena de implementación. Reformarlo puede requerir un cambio sistémico, pero mejorará considerablemente la eficacia general y mitigará el riesgo de fallos en la primera instancia. 6. Los programas de protección social no operan en un vacío, por lo que sus sistemas de implementación no deberían desarrollarse de forma aislada. Las sinergias entre distintas instituciones y sistemas de información son posibles y pueden mejorar los resultados de los programas. 7. Los sistemas de implementación de protección social contribuyen a la capacidad del gobierno de ayudar a otros sectores, por ejemplo, las subvenciones para seguros de salud, las becas, las tarifas energéticas sociales, las ayudas para la vivienda y los servicios legales. 8. Los desafíos asociados a la inclusión y a la coordinación son amplios y perennes, y motivan la mejora continua de los sistemas de implementación a través de un planteamiento dinámico, integrado y centrado en las personas.

Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2018-06-09 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications

Download or read book Development Methodologies for Big Data Analytics Systems written by Manuel Mora and published by Springer Nature. This book was released on 2023-11-03 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.

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.

Download or read book Big Data Analytics written by Kiran Chaudhary and published by CRC Press. This book was released on 2022-11-02 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes. Chapters examining analytics for decision-making cover such topics as: Big data analytics for gathering business intelligence Data analytics and consumer behavior The role of big data analytics in organizational decision-making This book also looks at digital marketing and focuses on such areas as: The prediction of marketing by consumer analytics Web analytics for digital marketing Smart retailing Leveraging web analytics for optimizing digital marketing strategies Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making.

Download or read book Information Management and Big Data written by Juan Antonio Lossio-Ventura and published by Springer Nature. This book was released on 2023-06-10 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th Annual International Conference on Information Management and Big Data, SIMBig 2022, held in Lima, Peru, during November 16–18, 2022. The 18 full papers and 1 short paper included in this book were carefully reviewed and selected from 50 submissions. The volume presented novel methods for the analysis and management of large data, in fields like Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, Data-driven Software Engineering, Health Informatics.

Download or read book Digital Work and Personal Data Protection written by Lourdes Mella Méndez and published by Cambridge Scholars Publishing. This book was released on 2018-12-21 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers contributions related to the most pressing problems and challenges that new information and communications technologies (ICT) and digital platforms introduce into the labour market, and the impact they have on the way that people work, their rights and even their health and dignity. In addition, there are also chapters studying personal data protection, which is currently a topic of maximum interest due to the New European Regulation about it. The contributors here are drawn from around the world, with several countries represented, such as Portugal, Spain, Italy, Brazil, Australia and Venezuela. The book will appeal lawyers, legal and human resources experts, economists, judges, academics and staff from trade unions, and employers’ representation. The volume features insights and contributions in different languages, with chapters in Spanish (12), English (6) and Portuguese (4).

Download or read book Computer Networks Big Data and IoT written by A. Pasumpon Pandian and published by Springer Nature. This book was released on 2022-05-21 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during December 9–10, 2021. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.

Download or read book Big Data Management written by Fausto Pedro García Márquez and published by Springer. This book was released on 2016-11-15 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

Download or read book Big Data Analytics Using Multiple Criteria Decision Making Models written by Ramakrishnan Ramanathan and published by CRC Press. This book was released on 2017-07-12 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.

Download or read book Big Data in Education Pedagogy and Research written by Theodosia Prodromou and published by Springer Nature. This book was released on 2021-10-04 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education. As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically. The Big Data era is changing the data landscape for statistical analysis, the ways in which data is captured and presented, and the necessary level of statistical literacy to analyse and interpret data for future decision making. The advent of Big Data accentuates the need to enable citizens to develop statistical skills, thinking and reasoning needed for representing, integrating and exploring complex information. This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data. This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications.

Download or read book High Performance Computing for Big Data written by Chao Wang and published by CRC Press. This book was released on 2017-10-16 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.

Download or read book International Conference on Applied Technologies written by Miguel Botto-Tobar and published by Springer Nature. This book was released on with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: