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Big data analytics [[electronic resource] ] : turning big data into big money / / Frank Ohlhorst
Big data analytics [[electronic resource] ] : turning big data into big money / / Frank Ohlhorst
Autore Ohlhorst Frank <1964->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2013
Descrizione fisica 1 online resource (176 p.)
Disciplina 658.4/72
Collana Wiley & SAS business series
Soggetto topico Business intelligence
Data mining
ISBN 1-119-20500-X
1-283-85145-8
1-118-22582-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Big Data Analytics: Turning Big Data into Big Money; Copyright; Contents; Preface; Acknowledgments; Chapter 1: What Is Big Data?; The Arrival of Analytics; Where Is the Value?; More to Big Data Than Meets the Eye; Dealing with the Nuances of Big Data; An Open Source Brings Forth Tools; Caution: Obstacles Ahead; Chapter 2: Why Big Data Matters; Big Data Reaches Deep; Obstacles Remain; Data Continue to Evolve; Data and Data Analysis Are Getting More Complex; The Future Is Now; Chapter 3: Big Data and the Business Case; Realizing Value; The Case for Big Data; The Rise of Big Data Options
Beyond HadoopWith Choice Come Decisions; Chapter 4: Building the Big Data Team; The Data Scientist; The Team Challenge; Different Teams, Different Goals; Don't Forget the Data; Challenges Remain; Teams versus Culture; Gauging Success; Chapter 5: Big Data Sources; Hunting for Data; Setting the Goal; Big Data Sources Growing; Diving Deeper into Big Data Sources; A Wealth of Public Information; Getting Started with Big Data Acquisition; Ongoing Growth, No End in Sight; Chapter 6: The Nuts and Bolts of Big Data; The Storage Dilemma; Building a Platform; Bringing Structure to Unstructured Data
Processing PowerChoosing among In-house, Outsourced, or Hybrid Approaches; Chapter 7: Security, Compliance, Auditing, and Protection; Pragmatic Steps to Securing Big Data; Classifying Data; Protecting Big Data Analytics; Big Data and Compliance; The Intellectual Property Challenge; Chapter 8: The Evolution of Big Data; Big Data: The Modern Era; Today, Tomorrow, and the Next Day; Changing Algorithms; Chapter 9: Best Practices for Big Data Analytics; Start Small with Big Data; Thinking Big; Avoiding Worst Practices; Baby Steps; The Value of Anomalies; Expediency versus Accuracy
In-Memory ProcessingChapter 10: Bringing It All Together; The Path to Big Data; The Realities of Thinking Big Data; Hands-on Big Data; The Big Data Pipeline in Depth; Big Data Visualization; Big Data Privacy; Appendix: Supporting Data; ""The MapR Distribution for Apache Hadoop""; ""High Availability: No Single Points of Failure""; About the Author; Index
Record Nr. UNINA-9910141363103321
Ohlhorst Frank <1964->  
Hoboken, N.J., : Wiley, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data analytics : turning big data into big money / / Frank Ohlhorst
Big data analytics : turning big data into big money / / Frank Ohlhorst
Autore Ohlhorst Frank <1964->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2013
Descrizione fisica 1 online resource (176 p.)
Disciplina 658.4/72
Collana Wiley & SAS business series
Soggetto topico Business intelligence
Data mining
ISBN 1-119-20500-X
1-283-85145-8
1-118-22582-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Big Data Analytics: Turning Big Data into Big Money; Copyright; Contents; Preface; Acknowledgments; Chapter 1: What Is Big Data?; The Arrival of Analytics; Where Is the Value?; More to Big Data Than Meets the Eye; Dealing with the Nuances of Big Data; An Open Source Brings Forth Tools; Caution: Obstacles Ahead; Chapter 2: Why Big Data Matters; Big Data Reaches Deep; Obstacles Remain; Data Continue to Evolve; Data and Data Analysis Are Getting More Complex; The Future Is Now; Chapter 3: Big Data and the Business Case; Realizing Value; The Case for Big Data; The Rise of Big Data Options
Beyond HadoopWith Choice Come Decisions; Chapter 4: Building the Big Data Team; The Data Scientist; The Team Challenge; Different Teams, Different Goals; Don't Forget the Data; Challenges Remain; Teams versus Culture; Gauging Success; Chapter 5: Big Data Sources; Hunting for Data; Setting the Goal; Big Data Sources Growing; Diving Deeper into Big Data Sources; A Wealth of Public Information; Getting Started with Big Data Acquisition; Ongoing Growth, No End in Sight; Chapter 6: The Nuts and Bolts of Big Data; The Storage Dilemma; Building a Platform; Bringing Structure to Unstructured Data
Processing PowerChoosing among In-house, Outsourced, or Hybrid Approaches; Chapter 7: Security, Compliance, Auditing, and Protection; Pragmatic Steps to Securing Big Data; Classifying Data; Protecting Big Data Analytics; Big Data and Compliance; The Intellectual Property Challenge; Chapter 8: The Evolution of Big Data; Big Data: The Modern Era; Today, Tomorrow, and the Next Day; Changing Algorithms; Chapter 9: Best Practices for Big Data Analytics; Start Small with Big Data; Thinking Big; Avoiding Worst Practices; Baby Steps; The Value of Anomalies; Expediency versus Accuracy
In-Memory ProcessingChapter 10: Bringing It All Together; The Path to Big Data; The Realities of Thinking Big Data; Hands-on Big Data; The Big Data Pipeline in Depth; Big Data Visualization; Big Data Privacy; Appendix: Supporting Data; ""The MapR Distribution for Apache Hadoop""; ""High Availability: No Single Points of Failure""; About the Author; Index
Record Nr. UNINA-9910821306903321
Ohlhorst Frank <1964->  
Hoboken, N.J., : Wiley, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses / / Michael Minelli, Michele Chambers, Ambiga Dhiraj
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses / / Michael Minelli, Michele Chambers, Ambiga Dhiraj
Autore Minelli Michael <1974->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Descrizione fisica 1 online resource (xxiii, 187 pages) : illustrations (some color)
Disciplina 658.4/72
Collana Wiley CIO series
Soggetto topico Business intelligence
Information technology
Electronic data processing
Data mining
Strategic planning
ISBN 1-118-56226-7
1-118-23915-6
1-283-94095-7
1-118-22583-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 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
Record Nr. UNINA-9910141492003321
Minelli Michael <1974->  
Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses / / Michael Minelli, Michele Chambers, Ambiga Dhiraj
Big data, big analytics : emerging business intelligence and analytic trends for today's businesses / / Michael Minelli, Michele Chambers, Ambiga Dhiraj
Autore Minelli Michael <1974->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Descrizione fisica 1 online resource (xxiii, 187 pages) : illustrations (some color)
Disciplina 658.4/72
Collana Wiley CIO series
Soggetto topico Business intelligence
Information technology
Electronic data processing
Data mining
Strategic planning
ISBN 1-118-56226-7
1-118-23915-6
1-283-94095-7
1-118-22583-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 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
Record Nr. UNINA-9910823482903321
Minelli Michael <1974->  
Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business analysis for business intelligence / / Bert Brijs
Business analysis for business intelligence / / Bert Brijs
Autore Brijs Bert
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, Fla. : , : CRC Press, , 2013
Descrizione fisica xxiii, 362 p
Disciplina 658.4/72
Soggetto topico Business intelligence
Decision making
Strategic planning
Soggetto genere / forma Electronic books.
ISBN 0-429-06544-2
1-4665-8115-8
1-4398-5837-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ch. 1. Introduction -- ch. 2. The increasing cycle speed of growth and its laws -- ch. 3. Balancing the 5 Ps of strategic management -- ch. 4. Adapting BI to the organization's configuration -- ch. 5. Understanding the 4 Cs -- ch. 6. Business case for business intelligence -- ch. 7. BI and cost accounting -- ch. 8. BI and financial management -- ch. 9. BI and operations management -- ch. 10. BI and marketing management -- ch. 11. BI and human resources management -- ch. 12. Starting a BI project -- ch. 13. Managing the project life cycle -- ch. 14. Mastering data management -- ch. 15. Mastering data quality -- ch. 16. Business analyst's toolbox.
Record Nr. UNINA-9910462342403321
Brijs Bert  
Boca Raton, Fla. : , : CRC Press, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business analysis for business intelligence / / Bert Brijs
Business analysis for business intelligence / / Bert Brijs
Autore Brijs Bert
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, Fla. : , : CRC Press, , 2013
Descrizione fisica xxiii, 362 p
Disciplina 658.4/72
Soggetto topico Business intelligence
Decision making
Strategic planning
ISBN 0-429-06544-2
1-4665-8115-8
1-4398-5837-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ch. 1. Introduction -- ch. 2. The increasing cycle speed of growth and its laws -- ch. 3. Balancing the 5 Ps of strategic management -- ch. 4. Adapting BI to the organization's configuration -- ch. 5. Understanding the 4 Cs -- ch. 6. Business case for business intelligence -- ch. 7. BI and cost accounting -- ch. 8. BI and financial management -- ch. 9. BI and operations management -- ch. 10. BI and marketing management -- ch. 11. BI and human resources management -- ch. 12. Starting a BI project -- ch. 13. Managing the project life cycle -- ch. 14. Mastering data management -- ch. 15. Mastering data quality -- ch. 16. Business analyst's toolbox.
Record Nr. UNINA-9910785876503321
Brijs Bert  
Boca Raton, Fla. : , : CRC Press, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business analysis for business intelligence / / Bert Brijs
Business analysis for business intelligence / / Bert Brijs
Autore Brijs Bert
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, FL, : CRC Press, c2012
Descrizione fisica xxiii, 362 p
Disciplina 658.4/72
Soggetto topico Business intelligence
Decision making
Strategic planning
ISBN 0-429-06544-2
1-4665-8115-8
1-4398-5837-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ch. 1. Introduction -- ch. 2. The increasing cycle speed of growth and its laws -- ch. 3. Balancing the 5 Ps of strategic management -- ch. 4. Adapting BI to the organization's configuration -- ch. 5. Understanding the 4 Cs -- ch. 6. Business case for business intelligence -- ch. 7. BI and cost accounting -- ch. 8. BI and financial management -- ch. 9. BI and operations management -- ch. 10. BI and marketing management -- ch. 11. BI and human resources management -- ch. 12. Starting a BI project -- ch. 13. Managing the project life cycle -- ch. 14. Mastering data management -- ch. 15. Mastering data quality -- ch. 16. Business analyst's toolbox.
Record Nr. UNINA-9910813220703321
Brijs Bert  
Boca Raton, FL, : CRC Press, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business intelligence [[electronic resource] ] : evaluation and impact on performance / / Corine Cohen
Business intelligence [[electronic resource] ] : evaluation and impact on performance / / Corine Cohen
Autore Cohen Corine
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (306 p.)
Disciplina 658.4/72
Collana ISTE
Soggetto topico Business intelligence
Strategic planning
Information technology - Management
ISBN 1-118-55764-6
1-299-31542-9
1-118-61946-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Scanning the environment : a vital necessity for companies -- Evolution of the general concept of surveillance -- The global measurement model of strategic intelligence (SI) -- Evaluation of objectives, products and service, use, results and -- Context of SI -- Evaluation of the organizational resources of SI -- Evaluation of processual resources of SI -- Evaluation of human, technical and financial resources of SI -- The control panel intelligence-performance.
Record Nr. UNINA-9910139246403321
Cohen Corine  
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business intelligence : evaluation and impact on performance / / Corine Cohen
Business intelligence : evaluation and impact on performance / / Corine Cohen
Autore Cohen Corine
Edizione [1st ed.]
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (306 p.)
Disciplina 658.4/72
Collana ISTE
Soggetto topico Business intelligence
Strategic planning
Information technology - Management
ISBN 1-118-55764-6
1-299-31542-9
1-118-61946-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Scanning the environment : a vital necessity for companies -- Evolution of the general concept of surveillance -- The global measurement model of strategic intelligence (SI) -- Evaluation of objectives, products and service, use, results and -- Context of SI -- Evaluation of the organizational resources of SI -- Evaluation of processual resources of SI -- Evaluation of human, technical and financial resources of SI -- The control panel intelligence-performance.
Record Nr. UNINA-9910819598003321
Cohen Corine  
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business intelligence [[electronic resource] ] : the savvy manager's guide / / David Loshin
Business intelligence [[electronic resource] ] : the savvy manager's guide / / David Loshin
Autore Loshin David <1963->
Edizione [2nd ed.]
Pubbl/distr/stampa Waltham, Mass., : Morgan Kaufmann, c2012
Descrizione fisica 1 online resource (401 p.)
Disciplina 658.4/72
Collana The Savvy Manager's Guides
Soggetto topico Business intelligence
Information technology - Management
Management information systems
Soggetto genere / forma Electronic books.
ISBN 0-12-385890-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Business Intelligence; Copyright; Contents; Preface; Introduction; What This Book Is; Why You Should Be Reading This Book; Organization of the Book; Our Approach to Knowledge Transfer; Contact Me; Acknowledgements; Foreword; Chapter 1- Business Intelligence and Information Exploitation; Improving the Decision-Making Process; Why a Business Intelligence Program?; Taking Advantage of the Information Asset; Business Intelligence and Program Success; Business Intelligence Defined; Actionable Intelligence; The Analytics Spectrum; Taming the Information Explosion; Considerations
Continuing Your Business Intelligence Education End notes; Chapter 2 -The Value of Business Intelligence; Value Drivers and Information Use; Performance Metrics and Key Performance Indicators; Using Actionable Knowledge; Horizontal Use Cases for Business Intelligence; Vertical Use Cases for Business Intelligence; Business Intelligence Adds Value; Chapter 3 -Planning for Success; Introduction; Organizational Preparedness for Business Intelligence and Analytics; Initial Steps in Starting a Business Intelligence Program; Bridging the Gaps Between Information Technology and the Business Users
Knowing the Different Types of Business Intelligence Users Business Intelligence Success Factors: A Deeper Dive; More on Building Your Team; Strategic Versus Tactical Planning; Summary; End notes; Chapter 4 -Developing Your Business Intelligence Roadmap; A Business Intelligence Strategy: Vision to Blueprint; Review: The Business Intelligence and Analytics Spectrum; The Business Intelligence Roadmap: Example Phasing; Planning the Business Intelligence Plan; Chapter 5 -The Business Intelligence Environment; Aspects of a Business Intelligence and Analytics Platform and Strategy
The Organizational Business Intelligence Framework Services and System Evolution; Management Issues; Additional Considerations; Chapter 6 -Business Processes and Information Flow; Analytical Information Needs and Information Flows; Information Processing and Information Flow; The Information Flow Model; Practical Use; Modeling Frameworks; Management Issues; Deeper Dives; Chapter 7 -Data Requirements Analysis; Introduction; Business Uses of Information; Metrics: Facts, Qualifiers, and Models; What is Data Requirements Analysis?; Assessing Suitability; Summary
Chapter 8 -Data Warehouses and the Technical Business Intelligence Architecture Introduction; Data Modeling and Analytics; The Data Warehouse; Analytical Platforms; Operational Data Stores; Management; Do You Really Need a Data Warehouse?; Summary; Chapter 9 -Metadata; What is Metadata?; The Origin and Utility of Metadata; Types of Metadata; Semantic Metadata Processes for Business Analytics; Further Considerations; Using Metadata Tools; Establishing Usability of Candidate Data Sources; Data Profiling Activities; Data Model Inference; Attribute Analysis; Relationship Analysis
Management Issues
Record Nr. UNINA-9910461902403321
Loshin David <1963->  
Waltham, Mass., : Morgan Kaufmann, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui