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1. |
Record Nr. |
UNINA9910416469303321 |
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Autore |
Adam Renaud |
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Titolo |
Tite-Live, une histoire de livre / / Pierre Assenmaker |
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Pubbl/distr/stampa |
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Namur, : Presses universitaires de Namur, 2020 |
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ISBN |
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Descrizione fisica |
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1 online resource (220 p.) |
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Altri autori (Persone) |
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ArnouldCécile |
AssenmakerPierre |
BertheletYann |
BorrelliNathalie |
BrixMichel |
CavalieriMarco |
ConstantinidisAnna |
DelabastitaDirk |
EngelsDavid |
IsebaertLambert |
LatteurOlivier |
LefftzMichel |
LeijnseElisabeth |
MalisseHéloïse |
MarchettiPatrick |
MettewieLaurence |
MeunierNicolas L. J |
MinetMathieu |
PaternotteSandrine |
PietquinPaul |
RichardJulian |
RichardNathalie |
VerweijMichiel |
VrydaghsDavid |
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Soggetti |
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History |
Information Science & Library Science |
historien |
Antiquité romaine |
œuvre |
incunable |
édition |
humanisme |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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L'historien latin Tite-Live est l’auteur d’une monumentale Histoire romaine en 142 livres. Les parties conservées de l’œuvre furent l’une des principales sources par lesquelles l’Occident médiéval et moderne accéda au récit des premiers temps de Rome et de son expansion à l’époque républicaine. En 2017, pour commémorer le bimillénaire de la mort de cet auteur, s’est tenue à la Bibliothèque Universitaire Moretus Plantin (Université de Namur) une exposition de livres anciens qui illustrait les facettes variées de la réception de l’œuvre livienne au cours des cinq derniers siècles. Dans la quarantaine de notices de ce catalogue, le lecteur découvrira des éditions et traductions anciennes de Tite-Live, ainsi que des ouvrages qui participèrent de la redécouverte de l’Antiquité durant la Renaissance. Y sont aussi dévoilés quelques exemples – parfois surprenants – de l’influence que Tite-Live put avoir sur de grands noms de la littérature et de la pensée modernes : Érasme, Montaigne, Machiavel, Shakespeare, Corneille… |
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2. |
Record Nr. |
UNINA9910823482903321 |
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Autore |
Minelli Michael <1974-> |
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Titolo |
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses / / Michael Minelli, Michele Chambers, Ambiga Dhiraj |
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Pubbl/distr/stampa |
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Hoboken, N.J., : John Wiley & Sons, Inc., 2013 |
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Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2013 |
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ISBN |
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1-118-56226-7 |
1-118-23915-6 |
1-283-94095-7 |
1-118-22583-X |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (xxiii, 187 pages) : illustrations (some color) |
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Collana |
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Disciplina |
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Soggetti |
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Business intelligence |
Information technology |
Electronic data processing |
Data mining |
Strategic planning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses; Copyright; Contents; Foreword; Preface; Acknowledgments; Chapter 1: What Is Big Data and Why Is It Important?; A Flood of Mythic ""Start-Up"" Proportions; Big Data Is More Than Merely Big; Why Now?; A Convergence of Key Trends; Relatively Speaking . . .; A Wider Variety of Data; The Expanding Universe of Unstructured Data; Setting the Tone at the Top; Notes; Chapter 2: Industry Examples of Big Data; Digital Marketing and the Non-line World; Don't Abdicate Relationships |
Is IT Losing Control of Web Analytics?Database Marketers, Pioneers of Big Data; Big Data and the New School of Marketing; Consumers Have Changed. So Must Marketers.; The Right Approach: Cross-Channel Lifecycle Marketing; Social and Affiliate Marketing; Empowering Marketing with Social Intelligence; Fraud and Big Data; Risk and Big |
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Data; Credit Risk Management; Big Data and Algorithmic Trading; Crunching Through Complex Interrelated Data; Intraday Risk Analytics, a Constant Flow of Big Data; Calculating Risk in Marketing; Other Industries Benefit from Financial Services' Risk Experience |
Big Data and Advances in Health Care""Disruptive Analytics""; A Holistic Value Proposition; BI Is Not Data Science; Pioneering New Frontiers in Medicine; Advertising and Big Data: From Papyrus to Seeing Somebody; Big Data Feeds the Modern-Day Donald Draper; Reach, Resonance, and Reaction; The Need to Act Quickly (Real-Time When Possible); Measurement Can Be Tricky; Content Delivery Matters Too; Optimization and Marketing Mixed Modeling; Beard's Take on the Three Big Data Vs in Advertising; Using Consumer Products as a Doorway; Notes; Chapter 3: Big Data Technology |
The Elephant in the Room: Hadoop's Parallel WorldOld vs. New Approaches; Data Discovery: Work the Way People's Minds Work; Open-Source Technology for Big Data Analytics; The Cloud and Big Data; Predictive Analytics Moves into the Limelight; Software as a Service BI; Mobile Business Intelligence is Going Mainstream; Ease of Mobile Application Deployment; Crowdsourcing Analytics; Inter- and Trans-Firewall Analytics; R&D Approach Helps Adopt New Technology; Adding Big Data Technology into the Mix; Big Data Technology Terms; Data Size 101; Notes; Chapter 4: Information Management |
The Big Data FoundationBig Data Computing Platforms (or Computing Platforms That Handle the Big Data Analytics Tsunami); Big Data Computation; More on Big Data Storage; Big Data Computational Limitations; Big Data Emerging Technologies; Chapter 5: Business Analytics; The Last Mile in Data Analysis; Geospatial Intelligence Will Make Your Life Better; Listening: Is It Signal or Noise?; Consumption of Analytics; From Creation to Consumption; Visualizing: How to Make It Consumable?; Organizations Are Using Data Visualization as a Way to Take Immediate Action |
Moving from Sampling to Using All the Data |
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Sommario/riassunto |
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Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in ter |
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