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Think bigger : developing a successful big data strategy for your business /

"Big data--the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized--is revolutionizing business. Offering real-world insight and explanations, this book provides a roadmap for organizations looking to develop a profitable big da...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Van Rijmenam, Mark
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : American Management Association, [2014]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Think bigger :  |b developing a successful big data strategy for your business /  |c Mark van Rijmenam. 
264 1 |a New York :  |b American Management Association,  |c [2014] 
264 4 |c ©2014 
300 |a 1 online resource (ix, 305 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a 1. The History of Big Data -- 2. What is Big Data? -- 3. Big Data Trends -- 4. Big Data Technologies -- 5. Big Data Privacy, Ethics, And Security -- 6. Big Data in your Organization -- 7. Big Data by Industry -- 8. The Future of Big Data. 
505 0 0 |g 1.  |t The History of Big Data --  |t The Twentieth Century --  |t The Twenty-First Century --  |g 2.  |t What is Big Data? --  |t Explanation of the 7Vs --  |t Eight Realities of Big Data you Should Already Know --  |t The Impact of Big Data on Society --  |t Takeaways --  |g 3.  |t Big Data Trends --  |t On-The-Go Big Data --  |t Big Real-Time Data --  |t The Internet of Things --  |t The Quantified-Self --  |t Big Social Data --  |t Public Big Data --  |t Gamification --  |t Takeaways --  |g 4.  |t Big Data Technologies --  |t Hadoop HDFS and MapReduce --  |t Open-Source Tools --  |t Big Data Tools and Types of Analysis --  |t Takeaways --  |g 5.  |t Big Data Privacy, Ethics, And Security --  |t Big Data Privacy --  |t Big Data Ethics --  |t Big Data Security --  |t Takeaways --  |g 6.  |t Big Data in your Organization --  |t Key Characteristics of Information-Centric Organizations --  |t Some Generic Big Data Uses --  |t Big Data and Return on Investment (ROI) --  |t Big Data on the Balance Sheet --  |t Internal Big Data Opportunities --  |t Big Data Roadmap --  |t Big Data Competencies Required --  |t Small and Medium Enterprises (SMEs) Can Achieve Remarkable Results with Big Data --  |t Governance for the Accuracy of Big Data --  |t Takeaways --  |g 7.  |t Big Data by Industry --  |t Agriculture Industry --  |t Automotive Industry --  |t Consumer Goods --  |t Education Industry --  |t Energy Industry --  |t Financial Services Industry --  |t Gaming Industry --  |t Healthcare Industry --  |t Legal Profession --  |t Manufacturing Industry --  |t Not-For-Profit Sector --  |t Media and Entertainment Industry --  |t Oil and Gas Industry --  |t Public Sector --  |t Retail Industry --  |t Telecom Industry --  |t Transportation Industry --  |t Travel and Leisure Industry --  |t Takeaways --  |g 8.  |t The Future of Big Data. 
520 |a "Big data--the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized--is revolutionizing business. Offering real-world insight and explanations, this book provides a roadmap for organizations looking to develop a profitable big data strategy ... and reveals why it''s not something they can leave to the I.T. department. Sharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, Think Bigger covers the most important big data trends affecting organizations, as well as key technologies like Hadoop and MapReduce, and several crucial types of analyses"--EBL 
546 |a English. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Information technology  |x Management. 
650 0 |a Big data. 
650 0 |a Business  |x Data processing. 
650 0 |a Database management. 
650 6 |a Technologie de l'information  |x Gestion. 
650 6 |a Données volumineuses. 
650 6 |a Gestion  |x Informatique. 
650 6 |a Bases de données  |x Gestion. 
650 7 |a BUSINESS & ECONOMICS  |x Office Automation.  |2 bisacsh 
650 7 |a Big data  |2 fast 
650 7 |a Business  |x Data processing  |2 fast 
650 7 |a Database management  |2 fast 
650 7 |a Information technology  |x Management  |2 fast 
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