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Big Data

https://www.kobo.com/us/de/ebook/big-data-30...
Dieser Herausgeber-Band bietet eine umfassende Einführung in das Gebiet Big Data. Neben einer Markteinschätzung und grundlegenden Konzepten (semantische Modellbildung, Anfragesprachen, Konsistenzgewährung etc.) werden wichtige NoSQL-Systeme (Key/Value Store, Column Store, Document Store, Graph Database) vorgestellt und erfolgreiche Anwendungen aus unterschiedlichen Perspektiven erläutert. Eine Diskussion rechtlicher Aspekte und ein Vorschlag zum Berufsbild des Data Scientist runden das Buch ab. Damit erhält die Leserschaft Handlungsempfehlungen für die Nutzung von Big-Data-Technologien im Unternehmen.

Big Data, Smart Data, Stupid Data.

https://www.kobo.com/us/fr/ebook/big-data-smart-data-stupid-...
Demain, tout, absolument tout, produira de la data. Les entreprises qui sauront s'en servir réussiront. Les autres disparaîtront. Vous souhaitez décoller et réussir? Ce livre est fait pour vous! Pratique et piquant, il vous guidera étape par étape. Pour réussir, il vous faut tout bousculer: vos procédures, vos talents, votre culture… jusqu'à votre proposition de valeur! Stratégies, exécution, casting, contraintes règlementaires… ce petit manuel traitera de tout, sans tabou, pour vous permettre d'aller droit au but! N'attendez plus, lancez-vous!

Big Data

https://www.kobo.com/us/es/ebook/big-data-42...
Generamos inmensas cantidades de datos cuya gestión, de forma adecuada, genera valor y ventaja competitiva. Las actividades y tecnologías para gestionar este gran volumen de datos se denominan big data, y sus profesionales científicos de datos, aunque procedan de distintas disciplinas (ingeniería informática, biblioteconomía, archivística o gestión documental). Este libro presenta los conceptos fundamentales y detalla cómo proceder en la gestión y creación de valor. Para ello, parte de la gobernanza de la información e integra las actividades de cuatro ciclos de gestión: el de la información, el del conocimiento, el de la inteligencia competitiva y el de los grandes volúmenes de datos.

Big Data

https://www.kobo.com/us/pt/ebook/big-data-17...
Este livro apresenta uma análise reveladora da maior tendência na tecnologia e do drástico impacto que ela terá sobre a economia, a ciência e a sociedade como um todo. Big data se refere à nossa recém-descoberta capacidade de reunir grandes quantidades de informações, analisá-las num instante e chegar a incríveis conclusões. Essa abordagem pode traduzir vários fenômenos - do preço das passagens aéreas ao texto de milhões de livros - numa forma pesquisável, e usa nosso crescente poder computacional para descobrir epifanias que nunca teríamos observado. Uma revolução semelhante à Internet e talvez até mesmo à imprensa, o big data mudará a maneira como pensamos sobre os negócios, a saúde, a política, a educação e a inovação nos anos vindouros. Ele também gera novas ameaças, do fim da privacidade como a conhecemos à ideia de sermos penalizados pelo que ainda não fizemos, com base na capacidade que o big data tem de prever nosso comportamento futuro.

Big Data Demystified

https://www.kobo.com/us/en/ebook/big-data-demystified...
Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications. Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn't understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you: Know which data is most useful to collect now and why it's important to start collecting that data as soon as possible. Understand big data and data science and how they can help you reach your business goals and gain competitive advantage. Use big data to understand where you are now and how you can improve in the future. Understand factors in choosing a big data system, including whether to go with cloud-based solutions. Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven. BIG DATA MAKES A BIG DIFFERENCE"Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing"This is the book we've been missing: big data explained without the complexity." Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School"Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data

Big Data

https://www.kobo.com/us/pt/ebook/big-data-40...
Este livro apresenta uma análise reveladora da maior tendência na tecnologia e do drástico impacto que ela terá sobre a economia, a ciência e a sociedade como um todo. Big data se refere à nossa recém-descoberta capacidade de reunir grandes quantidades de informações, analisá-las num instante e chegar a incríveis conclusões. Essa abordagem pode traduzir vários fenômenos - do preço das passagens aéreas ao texto de milhões de livros - numa forma pesquisável, e usa nosso crescente poder computacional para descobrir epifanias que nunca teríamos observado. Uma revolução semelhante à Internet e talvez até mesmo à imprensa, o big data mudará a maneira como pensamos sobre os negócios, a saúde, a política, a educação e a inovação nos anos vindouros. Ele também gera novas ameaças, do fim da privacidade como a conhecemos à ideia de sermos penalizados pelo que ainda não fizemos, com base na capacidade que o big data tem de prever nosso comportamento futuro.

Big Data MBA

https://www.kobo.com/us/en/ebook/big-data-mba...
Integrate big data into business to drive competitive advantage and sustainable successBig Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to "think like a data scientist" as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big dataIntegrate analytics into everyday operationsStructure your organization to drive analytic insightsOptimize processes, uncover opportunities, and stand out from the restHelp business stakeholders to "think like a data scientist"Understand appropriate business application of different analytic techniquesIf you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.

Big Data in Education

https://www.kobo.com/us/en/ebook/big-data-in-education...
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: The role of learning analytics and educational data science in schools A critical appreciation of code, algorithms and infrastructures The rise of 'cognitive classrooms', and the practical application of computational algorithms to learning environments Important digital research methods issues for researchers This is essential reading for anyone studying or working in today's education environment!

Big Data

https://www.kobo.com/us/en/ebook/big-data-1...
A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak?The key to answering these questions, and many more, is big data. "Big data" refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena-from the price of airline tickets to the text of millions of books-into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven't even done yet, based on big data's ability to predict our future behavior. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing. www. big-data-book.com

Big Data and Visual Analytics

https://www.kobo.com/us/en/ebook/big-data-and-visual-analyti...
This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.

Big Data for Insurance Companies

https://www.kobo.com/us/en/ebook/big-data-for-insurance-comp...
This book will be a "must" for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.

Big Data in Ecology

https://www.kobo.com/us/en/ebook/big-data-in-ecology...
The theme of this volume is big data in ecology. Updates and informs the reader on the latest research findings Written by leading experts in the field Highlights areas for future investigation

Big Data

https://www.kobo.com/us/en/ebook/big-data-41...
Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.

Artificial Intelligence and Big Data

https://www.kobo.com/us/en/ebook/artificial-intelligence-and...
With the idea of "deep learning" having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.

Big data

https://www.kobo.com/us/es/ebook/big-data-26...
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.

Una ética para Big data

https://www.kobo.com/us/es/ebook/una-etica-para-big-data...
Este libro trata sobre cómo la ética afecta, y se ve afectada, por el cambiante e inasible mundo de los datos. Sirviéndose de voces autorizadas por la academia, de asociaciones profesionales y de instituciones públicas, norteamericanas y europeas, la autora perfila el escenario que emerge del uso de la internet de las cosas para la obtención de datos masivos; identifica los principales problemas que atañen a su almacenamiento, procesamiento y utilización; y aporta sugerencias sobre cómo puede contribuir la ética a gestionar estos procesos de un modo orientado hacia el bien común.

Big data

https://www.kobo.com/us/es/ebook/big-data-35...
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 Driven Supply Chain Management

https://www.kobo.com/us/en/ebook/big-data-driven-supply-chai...
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain - and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.

Big Data Driven Supply Chain Management

https://www.kobo.com/us/en/ebook/big-data-driven-supply-chai...
Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain - and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance.

Numbersense: How to Use Big Data to Your Advantage

https://www.kobo.com/us/en/ebook/numbersense-how-to-use-big-...
How to make simple sense of complex statistics-from the author of Numbers Rule Your WorldWe live in a world of Big Data-and it's getting bigger every day. Virtually every choice we make hinges on how someone generates data. and how someone else interprets it-whether we realize it or not. Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data. The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations. In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data "experts"-and when you should say, "Wait. what?" He delves deeply into a wide range of topics, offering the answers to important questions, such as: How does the college ranking system really work?Can an obesity measure solve America's biggest healthcare crisis?Should you trust current unemployment data issued by the government?How do you improve your fantasy sports team?Should you worry about businesses that track your data?Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there. Numbersense gives you the insight into how Big Data interpretation works-and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up. Praise for Numbersense"Numbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned-in short, a great way to acquire your ow
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