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Sprache: Englisch
Verlag: Wiley & Sons, Incorporated, John, 2014
ISBN 10: 1118607554 ISBN 13: 9781118607558
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Verlag: Wiley & Sons, Incorporated, John, 2014
ISBN 10: 1118607554 ISBN 13: 9781118607558
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Sprache: Englisch
Verlag: Wiley & Sons, Incorporated, John, 2014
ISBN 10: 1118607554 ISBN 13: 9781118607558
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Sprache: Englisch
Verlag: McGraw Hill, New York, NY, 2013
ISBN 10: 0071808175 ISBN 13: 9780071808170
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Zustand: Como nuevo. : Descubre cómo gobernar y consumir las capacidades analíticas únicas de Big Data en movimiento y en reposo de IBM. Este libro revela cómo IBM está integrando tecnologías de código abierto de Big Data con la innovación de IBM, manifestándose en una plataforma capaz de "cambiar el juego". Se discuten las cuatro características definitorias de Big Data: volumen, variedad, velocidad y veracidad. Aprenderás cómo IBM está totalmente comprometido con Hadoop y su integración en la empresa. Se incluyen casos de uso de la industria en esta guía práctica. EAN: 9780071808170 Tipo: Libros Categoría: Tecnología Título: Harness the Power of Big Data Autor: Paul Zikopoulos| Dirk deRoos| Krishnan Parasuraman| Thomas Deutsch| James Giles| David Corrigan Editorial: McGraw-Hill Education Idioma: en Páginas: 280 Formato: tapa blanda.
EUR 15,28
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In den WarenkorbZustand: New. pp. 412.
Softcover. Zustand: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 2014. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 2014. Ammareal gives back up to 15% of this item's net price to charity organizations.
Sprache: Englisch
Verlag: Wiley India Private Limited, 2014
ISBN 10: 8126550511 ISBN 13: 9788126550517
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
EUR 27,79
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In den WarenkorbZustand: New. pp. 408.
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EUR 24,09
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In den WarenkorbZustand: New. Über den AutorMcGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwideInhaltsverzeichnisIntroductionP.
EUR 26,08
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In den WarenkorbZustand: New. Boost your Big Data IQ! Gain insight into how to govern and consume IBM s unique in-motion and at-rest Big Data analytic capabilitiesÜber den AutorMcGraw-Hill authors represent the leading experts in their fields and are dedica.
Taschenbuch. Zustand: Neu. Neuware - Let Hadoop For Dummies help harness the power of your data and rein in the information overloadBig data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.\* Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications\* Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily\* Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving\* Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop clusterFrom programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.
Anbieter: Buchpark, Trebbin, Deutschland
EUR 11,77
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut | Seiten: 394 | Sprache: Englisch | Produktart: Bücher | Gain insight into how to govern and consume IBM's unique in-motion and at-rest Big Data analytic capabilitiesA. R. Ammons once said, "A word too much repeated falls out of being", and although the term Big Data sometimes seems to be "too much repeated", it's not about to fall "out of being". That said, it is subject to a lot of hype. The term Big Data is a bit of a misnomer. Truth be told, we're not even big fans of the term--despite the fact that it is so prominently displayed on the cover of this book--because it implies that other data is somehow small (it might be) or that this particular type of data is large in size (it can be, but doesn't have to be).This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today's data resides. The Big Data opportunity. It's a shift, rift, lift, or cliff for your business--this book is going to help you experience the shift and lift, while those that don't work to get beyond the hype end up in a rift or cliff.In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. You'll learn how Big Data needs a "ground-to-cloud" architecture, what a Data Refinery looks like, and theimportance of a next generation data platform. Gain an understanding of the concepts of data-in-motion, data-at-rest (technologies like Hadoop play here, as well as others), the role that NoSQL and polyglot play in a leading edge analytics architecture, and more. Get details about the Big Data platform manifesto and why it is a must for any Big Data project. Capturing, storing, refining, transforming, governing, securing, and analyzing data, traditionally or as a service, are important topics alsocovered in this book.