Big Data Revolution (E-Book) von Rob Thomas

Big Data Revolution
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What farmers, doctors and insurance agents teach us about discovering big data patterns
 E-Book
Sofort lieferbar | Lieferzeit: Sofort lieferbar

17,99 €* E-Book

ISBN-13:
9781118943731
Veröffentl:
2015
Einband:
E-Book
Seiten:
288
Autor:
Rob Thomas
eBook Format:
PDF
eBook-Typ:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Inhaltsverzeichnis

Prologue 1

Introduction 7

PART I: THE REVOLUTION STARTS NOW: 9 INDUSTRIES TRANSFORMING WITH DATA 15

Chapter 1: Transforming Farms with Data 17

Chapter 2: Why Doctors Will Have Math Degrees 31

Chapter 3: Revolutionizing Insurance: Why Actuaries Will Become Data Scientists 45

Chapter 4: Personalizing Retail and Fashion 59

Chapter 5: Transforming Customer Relationships with Data 69

Chapter 6: Intelligent Machines 79

Chapter 7: Government and Society 89

Chapter 8: Corporate Sustainability 107

Chapter 9: Weather and Energy 119

PART II: LEARNING FROM PATTERNS IN BIG DATA 131

Chapter 10: Pattern Recognition 133

Chapter 11: Why Patterns in Big Data Have Emerged 141

Chapter 12: Patterns in Big Data 153

PART III: LEADING THE REVOLUTION 171

Chapter 13: The Data Opportunity 173

Chapter 14: Porsche 177

Chapter 15: Puma 181

Chapter 16: A Methodology for Applying Big Data Patterns 185

Chapter 17: Big Data Architecture 205

Chapter 18: Business View Reference Architecture 215

Chapter 19: Logical View Reference Architecture 223

Chapter 20: The Architecture of the Future 233

Epilogue 249

INDEX 255

Beschreibung
Exploit the power and potential of Big Data to revolutionize business outcomes

Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. Readers are guided through tried-and-true methodologies for getting more out of data, and using it to the utmost advantage. This book describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding Big Data, all while guiding readers toward better decision making from the perspective of a data scientist.

Companies are generating data faster than ever before, and managing that data has become a major challenge. With the right strategy, Big Data can be a powerful tool for creating effective business solutions but deep understanding is key when applying it to individual business needs. Big Data Revolution provides the insight executives need to incorporate Big Data into a better business strategy, improving outcomes with innovation and efficient use of technology.

  • Examine the major emerging patterns in Big Data
  • Consider the debate surrounding the ethical use of data
  • Recognize patterns and improve personal and organizational performance
  • Make more informed decisions with quantifiable results

In an information society, it is becoming increasingly important to make sense of data in an economically viable way. It can drive new revenue streams and give companies a competitive advantage, providing a way forward for businesses navigating an increasingly complex marketplace. Big Data Revolution provides expert insight on the tool that can revolutionize industries.

Autor

Rob Thomas is Vice President of Product Development for Big Data and Information Management in IBM Software Group. Previously, he had responsibility for global sales and mergers& acquisitions.Patrick McSharry is a Senior Research Fellow at the Smith School of Enterprise and the Environment, Faculty Member of the Oxford Man Institute of Quantitative Finance at Oxford University and Visiting Professor at the Department of Electrical and Computer Engineering, Carnegie Mellon University.


 

Schlagwörter zu:

Big Data Revolution von Rob Thomas - mit der ISBN: 9781118943731

Bauingenieur- u. Bauwesen; Bauwesen; Big Data; Civil Engineering & Construction; Computer Science; Data Analysis; Data Mining & Knowledge Discovery; Data Mining u. Knowledge Discovery; Data Processing; Datenanalyse; Datenverarbeitung; Datenverarbeitung im Bauwesen; Informatik; Statistics; Statistik, Online-Buchhandlung


 

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