Big data

La revolución de los datos masivos
Author: Viktor Mayer-Schönberger,Kenneth Cukier
Publisher: Turner
ISBN: 8415427816
Category: Computers
Page: N.A
View: 2073
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Un análisis esclarecedor sobre uno de los grandes temas de nuestro tiempo, y sobre el inmenso impacto que tendrá en la economía, la ciencia y la sociedad en general. Los datos masivos representan una revolución que ya está cambiando la forma de hacer negocios, la sanidad, la política, la educación y la innovación. Dos grandes expertos en la materia analizan qué son los datos masivos, cómo nos pueden cambiar la vida, y qué podemos hacer para defendernos de sus riesgos. Un gran ensayo, único en español, pionero en su campo, y que se adelanta a una tendencia que crece a un ritmo frenético.

Big data : la revolución de los datos masivos


Author: Viktor Mayer Schönberger,Kenneth Cukier
Publisher: Turner
ISBN: 8415832109
Category: Education
Page: 320
View: 8304
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Big Data

A Revolution that Will Transform how We Live, Work, and Think
Author: Viktor Mayer-Schönberger,Kenneth Cukier
Publisher: Houghton Mifflin Harcourt
ISBN: 0544002695
Category: Business & Economics
Page: 242
View: 5432
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This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.

Big Data. IFCT128PO


Author: José Antonio Castillo Romero
Publisher: IC Editorial
ISBN: 8491987223
Category: Language Arts & Disciplines
Page: 242
View: 8145
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Participar en diálogos sobre competencias clave en su entorno profesional, conocer un mercado – tecnológico – en constante expansión, realizar breve inmersión en el mundo analítico actual y ser capaz de acceder a casos de éxito en distintos sectores. - Entender el contexto en el que se sitúa el big data y cómo surge a través del desarrollo de diferentes soluciones para trabajar con los datos, así como conocer estas soluciones. - Entender la importancia que tiene el dato en todas las áreas de la sociedad, haciendo especial énfasis en su importancia estratégica para las organizaciones y la preservación de la privacidad mediante una correcta gestión. - Aprender el concepto y el alcance de la analítica tradicional que viene identificada con la implementación de soluciones business intelligence, así como saber definir los diferentes elementos que lo forman y su utilidad. - Aprender con qué datos se trabaja en big data y cómo se representan estos en función de la situación, el big data, los seres humanos y desde el punto de vista de las máquinas que los utilizan. - Ahondar en la definición de big data y conocer uno de los marcos de trabajo de aplicaciones más importantes en este terreno junto con sus características principales, que ayudarán a implementar un sistema big data. - Aprender el concepto y las características de la analítica avanzada y su estrecha relación con el big data, y conocer las distintas técnicas, tales como son la analítica predictiva y la analítica prescriptiva. CONTENIDO FORMATIVO: Antecedentes, definiciones y bases para un correcto entendimiento Antecedentes Definiciones y bases del big data Bases de establecimiento del big data La importancia del dato El valor del dato Problemas que aparecen en la recogida de datos El presente y futuro de los datos: normativa y aplicaciones Algunos conceptos técnicos de la analítica tradicional Analítica tradicional vs. big data Componentes del business intelligence Herramientas del BI Representación de los datos Orígenes de datos en big data Representación de datos Introducción al Big Data Definiendo el big data Tecnología big data Introducción a la analítica avanzada Analítica avanzada: las preguntas no se responden, se crean Analítica predictiva Analítica prescriptiva

Big data

Conceptos, tecnologías y aplicaciones
Author: David Gómez-Ullate Oteiza,David Ríos Insúa
Publisher: LOS LIBROS DE LA CATARATA
ISBN: 8490978433
Category: Science
Page: 134
View: 5694
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La captura de datos a través de aplicaciones y teléfonos móviles produce cantidades ingentes de información sobre nuestro día a día online. Es por ello comprensible que dichos datos tengan cada vez más valor, ya que se utilizan para mejorar las relaciones con los ciudadanos o clientes, personalizar servicios y productos y automatizar todo tipo de procesos. Descubrir que estamos cediendo nuestra información personal despierta a menudo el pánico general, pero hasta las actividades más rutinarias —como consultar el tiempo o pasar el robot aspirador— suponen la apertura de una ventana a nuestra privacidad; la misma que también hace posible que una aplicación traduzca un texto sin mucho esfuerzo o que nuestro móvil nos resuelva una duda preguntándole a viva voz. En este libro se explican, de manera accesible, los conceptos básicos del big data y la ciencia de datos, algunos de sus beneficios y riesgos, y se promueve un uso responsable de la tecnología.

Big Data. Hacia la cuarta revolución industrial


Author: Antonio Monleón Esteban Vegas,Ferran Reverter
Publisher: Edicions Universitat Barcelona
ISBN: 8491680136
Category:
Page: 66
View: 4342
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Se conoce como tercera revolución industrial el cambio de la tecnología analógica a la digital que se produjo entre 1950 y 1970 con la aparición de los ordenadores y el mantenimiento de registros digitales. Pero la irrupción de internet a finales del siglo pasado, con el consiguiente aumento de datos generados y almacenados, nos ha conducido a las puertas de una nueva revolución: la cuarta revolución industrial. El análisis de los macrodatos o Big Data puede contribuir a reducir los enormes costes de la investigación clínica, a mejorar la gestión de las ciudades y las empresas, o a racionalizar el uso de los medicamentos. Para procesar y analizar esta información, se están desarrollando sistemas automáticos que, mediante algoritmos matemáticos, pueden aprender a partir de los datos recibidos. Este libro es una introducción a las ventajas e inconvenientes de los macrodatos de los que ninguno de nosotros puede escapar.

Big Data, Análisis de grandes volúmenes de datos en organizaciones


Author: Luis Joyanes Aguilar
Publisher: Alfaomega Grupo Editor
ISBN: 6077077577
Category: Business & Economics
Page: N.A
View: 6757
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BIG DATA - Técnicas, herramientas y aplicaciones


Author: María PÉREZ MARQUÉS
Publisher: Alfaomega Grupo Editor
ISBN: 6076224452
Category: Business & Economics
Page: N.A
View: 3576
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En la era de grandes conjuntos de datos, procedentes de diversos orígenes, en formatos variados y con una necesidad de procesamiento y análisis rápido y efectivo, las técnicas de Big Data persiguen complementar el manejo ordenado de estos volúmenes, con las técnicas de análisis de la información más avanzadas y efectivas para extraer de modo óptimo el conocimiento contenido en los datos. Las herramientas de Big Data se basan en el paquete de código abierto llamado Hadoop para el análisis masivo de datos, que forma parte de prácticamente todo el software de Big Data. Por ejemplo, SAS incorpora Hadoop en sus aplicaciones (SAS Base, SAS Data Integration, SAS Visual Analytics, SAS Visual Statistics, etc.). IBM trabaja con Hadoop en su plataforma IBM InfoSphere BigInsights. Microsoft incluye Hadoop en su plataforma Windows Azure, SQL Server 2014, HDInsight y Polybase. Oracle incluye Hadoop en Oracle Big Data Appliance, Oracle Big Data Connectors y Oracle Loader for Hadoop. Se describen y analizan estas herramientas de Big Data que implementan SAS, IBM, Microsoft y Oracle, para extraer el conocimiento contenido en los datos. Ventajas: · Los principales comandos Conozca: · Las herramientas de BIG DATA, que utilizan tecnologías multinúcleo para ofrecer mayor capacidad de procesamiento a través de altas prestaciones, en base de datos y de análisis en memoria que ofrecen un mayor conocimiento más rápidamente de grandes volúmenes de datos y flujo de datos, independientemente de los formatos y las fuentes de los orígenes de datos. Aprenda: ·Que con las herramientas de BIG DATA se puede procesar información online proveniente de múltiples orígenes (redes sociales o grandes bases de datos no estructuradas), · A tratar los datos de múltiples fuentes y formatos, ya sean texto, datos, imágenes o mezcla de todo ello. Actualmente es posible. Desarrolle sus habilidades para: · Implementar herramientas de BIG DATA en la forma que mejor se adapte a las necesidades de los usuarios. · Superar con éxito el desafío del análisis de la información, dada la capacidad de almacenar cualquier cosa, lo que están generando datos como nunca antes en la historia

Big Data: a Very Short Introduction


Author: Dawn E. Holmes
Publisher: Oxford University Press
ISBN: 0198779577
Category: Computers
Page: 152
View: 700
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Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, video, and photos, all our social media traffic, our online shopping, even the GPS data from our cars. "Big Data" represents a qualitative change, not simply a quantitative one. The term refers both to the new technologies involved, and to the way it can be used by business and government. Dawn E. Holmes uses a variety of case studies to explain how data is stored, analyzed, and exploited by a variety of bodies from big companies to organizations concerned with disease control. Big data is transforming the way businesses operate, and the way medical research can be carried out. At the same time, it raises important ethical issues; Holmes discusses cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

Big data: atrapando al consumidor


Author: Josep Francesc Valls
Publisher: Profit Editorial
ISBN: 8416904464
Category: Business & Economics
Page: N.A
View: 8749
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Gracias a los grandes y pequeños datos –analíticas, algoritmos–, somos capaces de conocer fielmente las necesidades y aspiraciones de los consumidores. Si sabemos utilizar bien estos datos, podremos entender cómo debemos establecer una buena relación con nuestro cliente/consumidor. La empresa del futuro acompaña al cliente en su recorrido de compra –antes, durante y después–, e interviene en cada una de estas fases creando cuantos puntos de contacto sean necesarios para facilitarle un buen proceso de compra. Los pasos siguientes de las empresas pasan por la preparación de la propuesta de valor, mejorar nuestro producto, oferta, precio y otras ventajas competitivas para conseguir fidelizar al cliente/consumidor.

Big Data

Algorithms, Analytics, and Applications
Author: Kuan-Ching Li,Hai Jiang,Laurence T. Yang,Alfredo Cuzzocrea
Publisher: CRC Press
ISBN: 1482240564
Category: Computers
Page: 498
View: 4616
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As today’s organizations are capturing exponentially larger amounts of data than ever, now is the time for organizations to rethink how they digest that data. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the newly acquired knowledge to achieve competitive advantages. Presenting the contributions of leading experts in their respective fields, Big Data: Algorithms, Analytics, and Applications bridges the gap between the vastness of Big Data and the appropriate computational methods for scientific and social discovery. It covers fundamental issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields, such as medicine, science, and engineering. The book is organized into five main sections: Big Data Management—considers the research issues related to the management of Big Data, including indexing and scalability aspects Big Data Processing—addresses the problem of processing Big Data across a wide range of resource-intensive computational settings Big Data Stream Techniques and Algorithms—explores research issues regarding the management and mining of Big Data in streaming environments Big Data Privacy—focuses on models, techniques, and algorithms for preserving Big Data privacy Big Data Applications—illustrates practical applications of Big Data across several domains, including finance, multimedia tools, biometrics, and satellite Big Data processing Overall, the book reports on state-of-the-art studies and achievements in algorithms, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play a leading role in next-generation database, data warehousing, data mining, and cloud computing research. It also explores related applications in diverse sectors, covering technologies for media/data communication, elastic media/data storage, cross-network media/data fusion, and SaaS.

Big Data

Related Technologies, Challenges and Future Prospects
Author: Min Chen,Shiwen Mao,Yin Zhang,Victor C.M. Leung
Publisher: Springer
ISBN: 331906245X
Category: Computers
Page: 89
View: 7079
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This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.

Big Data

A Business and Legal Guide
Author: James R. Kalyvas,Michael R. Overly
Publisher: CRC Press
ISBN: 1466592389
Category: Business & Economics
Page: 240
View: 5391
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Big Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in private practice) with an accessible primer on Big Data and its business implications, this book will enable readers to quickly grasp the key issues and effectively implement the right solutions to collecting, licensing, handling, and using Big Data. The book brings together subject matter experts who examine a different area of law in each chapter and explain how these laws can affect the way your business or organization can use Big Data. These experts also supply recommendations as to the steps your organization can take to maximize Big Data opportunities without increasing risk and liability to your organization. Provides a new way of thinking about Big Data that will help readers address emerging issues Supplies real-world advice and practical ways to handle the issues Uses examples pulled from the news and cases to illustrate points Includes a non-technical Big Data primer that discusses the characteristics of Big Data and distinguishes it from traditional database models Taking a cross-disciplinary approach, the book will help executives, managers, and counsel better understand the interrelationships between Big Data, decisions based on Big Data, and the laws, regulations, and contracting practices that impact its use. After reading this book, you will be able to think more broadly about the best way to harness Big Data in your business and establish procedures to ensure that legal considerations are part of the decision.

Data strategy: Cómo beneficiarse de un mundo de big data, analytics e internet de las cosas


Author: Bernard Marr
Publisher: Ecoe Ediciones
ISBN: 9587716590
Category:
Page: N.A
View: 2597
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INTRODUCTION TO BIG DATA: INFRASTRUCTURE AND NETWORKING CONSIDERATIONS


Author: Shoban Babu Sriramoju
Publisher: Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
ISBN: 9386369575
Category:
Page: 197
View: 6359
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Big data is certainly one of the biggest buzz phrases in IT today. Combined with virtualization and cloud computing, big data is a technological capability that will force data centers to significantly transform and evolve within the next five years. Similar to virtualization, big data infrastructure is unique and can create an architectural upheaval in the way systems, storage, and software infrastructure are connected and managed. Unlike previous business analytics solutions, the real-time capability of new big data solutions can provide mission critical business intelligence that can change the shape and speed of enterprise decision making forever. Hence, the way in which IT infrastructure is connected and distributed warrants a fresh and critical analysis.

Big Data

Techniques and Technologies in Geoinformatics
Author: Hassan A. Karimi
Publisher: CRC Press
ISBN: 1466586516
Category: Mathematics
Page: 312
View: 4469
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Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.

Big Data

A Workshop Report
Author: National Research Council,Division on Engineering and Physical Sciences,Committee for Science and Technology Challenges to U.S. National Security Interests
Publisher: National Academies Press
ISBN: 0309266882
Category: Computers
Page: 34
View: 2827
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In 2012, the Defense Intelligence Agency (DIA) approached the National Research Council's TIGER standing committee and asked it to develop a list of workshop topics to explore the impact of emerging science and technology. From the list of topics given to DIA, three were chosen to be developed by the Committee for Science and Technology Challenges to U.S. National Security Interests. The first in a series of three workshops was held on April 23-24, 2012. This report summarizes that first workshop which explored the phenomenon known as big data. The objective for the first workshop is given in the statement of task, which explains that that workshop will review emerging capabilities in large computational data to include speed, data fusion, use, and commodification of data used in decision making. The workshop will also review the subsequent increase in vulnerabilities over the capabilities gained and the significance to national security. The committee devised an agenda that helped the committee, sponsors, and workshop attendees probe issues of national security related to so-called big data, as well as gain understanding of potential related vulnerabilities. The workshop was used to gather data that is described in this report, which presents views expressed by individual workshop participants. Big Data: A Workshop Report is the first in a series of three workshops, held in early 2012 to further the ongoing engagement among the National Research Council's (NRC's) Technology Insight-Gauge, Evaluate, and Review (TIGER) Standing Committee, the scientific and technical intelligence (S&TI) community, and the consumers of S&TI products.

Big Data Handbook


Author: Arzu Barské - Erdogan
Publisher: Lulu.com
ISBN: 1304214478
Category:
Page: N.A
View: 459
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Big Data and Hadoop


Author: VK Jain
Publisher: KHANNA PUBLISHING
ISBN: 938260913X
Category: Education
Page: 600
View: 8024
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This book introduces you to the Big Data processing techniques addressing but not limited to various BI (business intelligence) requirements, such as reporting, batch analytics, online analytical processing (OLAP), data mining and Warehousing, and predictive analytics. The book has been written on IBMs Platform of Hadoop framework. IBM Infosphere BigInsight has the highest amount of tutorial matter available free of cost on Internet which makes it easy to acquire proficiency in this technique. This therefore becomes highly vunerable coaching materials in easy to learn steps. The book optimally provides the courseware as per MCA and M. Tech Level Syllabi of most of the Universities. All components of big Data Platform like Jaql, Hive Pig, Sqoop, Flume , Hadoop Streaming, Oozie: HBase, HDFS, FlumeNG, Whirr, Cloudera, Fuse , Zookeeper and Mahout: Machine learning for Hadoop has been discussed in sufficient Detail with hands on Exercises on each.

Big Data Imperatives

Enterprise ‘Big Data’ Warehouse, ‘BI’ Implementations and Analytics
Author: Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher: Apress
ISBN: 1430248726
Category: Computers
Page: 296
View: 1862
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Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.