Big Data, Open Data and Data Development
ISTE Ltd and John Wiley & Sons Inc (Verlag)
978-1-84821-880-2 (ISBN)
This accumulation of data of all types (audio, video, files, photos, etc.) generates new activities, the aim of which is to analyze this enormous mass of information. It is then necessary to adapt and try new approaches, new methods, new knowledge and new ways of working, resulting in new properties and new challenges since SEO logic must be created and implemented. At company level, this mass of data is difficult to manage. Its interpretation is primarily a challenge. This impacts those who are there to "manipulate" the mass and requires a specific infrastructure for creation, storage, processing, analysis and recovery. The biggest challenge lies in "the valuing of data" available in quantity, diversity and access speed.
Jean-Louis Monino is Director of TRIS Laboratory and Professor at Montpellier University in France. His research focuses on data processing, econometrics and competitive intelligence. Soraya Sedkaoui works at TRIS Laboratory and is a lecturer at Khemis Miliana University in Algeria. Her research fields include econometrics, statistics, and data mining and forecasting techniques.
Acknowledgements vii
Foreword ix
Key Concepts xi
Introduction xix
Chapter 1 The Big Data Revolution 1
1.1 Understanding the Big Data universe 2
1.2 What changes have occurred in data analysis? 8
1.3 From Big Data to Smart Data: making data warehouses intelligent 12
1.4 High-quality information extraction and the emergence of a new profession: data scientists 16
1.5 Conclusion 21
Chapter 2 Open Data: A New Challenge 23
2.1 Why Open Data? 23
2.2 A universe of open and reusable data 28
2.3 Open Data and the Big Data universe 33
2.4 Data development and reuse 38
2.5 Conclusion 41
Chapter 3 Data Development Mechanisms 43
3.1 How do we develop data? 44
3.2 Data governance: a key factor for data valorization 54
3.3 CI: protection and valuation of digital assets 60
3.4 Techniques of data analysis: data mining/text mining 65
3.5 Conclusion 72
Chapter 4 Creating Value from Data Processing 73
4.1 Transforming the mass of data into innovation opportunities 74
4.2 Creation of value and analysis of open databases 82
4.3 Value creation of business assets in web data 87
4.4 Transformation of data into information or “DataViz” 94
4.5 Conclusion 100
Conclusion 101
Bibliography 109
Index 121
| Verlagsort | London |
|---|---|
| Sprache | englisch |
| Maße | 163 x 241 mm |
| Gewicht | 417 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| ISBN-10 | 1-84821-880-X / 184821880X |
| ISBN-13 | 978-1-84821-880-2 / 9781848218802 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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