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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 | ||
| ||
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-9910821306903321 |
|
Ohlhorst Frank <1964->
|
||
| Hoboken, N.J., : Wiley, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||