Big data, open data and data development:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London
ISTE Ltd
2016
|
| Schriftenreihe: | Smart innovation set
Volume 3 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xlii, 123 Seiten Illustrationen, Diagramme |
| ISBN: | 9781848218802 |
Internformat
MARC
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
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
vi Big Data, Open Data and Data Development
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. Cl: 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
321
SMART INNOVATION SET
Coordinated by Dimitri Uzunidis
This book highlights the challenges of Big Data, focusing on the
integration and valorization of data in enterprises. It addresses the issue
of data recovery in a highly competitive environment and presents a
topic involving several fields (Big Data, Open Data, data processing,
innovation, business intelligence, etc.). This multidisciplinary approach
allows the authors to bring a considerable enrichment to the studies and
research on the development of data warehouses as a whole.
The development of related technologies, such as the advent of the
Internet, social networks and cloud-computing , has increased the
volume of available data. This new immaterial wealth in which the data
is produced in real time comes in a continuous stream and from a
multitude of sources which are generally heterogeneous. This
accumulation of data of all types (audio, video, files, pictures, etc.)
generates new activities which aim to analyze this enormous mass of
information. It is thus necessary to adapt and try new approaches, new
methods, new knowledge and new ways of working, resulting in new
properties and new issues since a logical referencing must be created
and implemented. At the company level, this mass of data is difficult to
manage; its interpretation is primarily a challenge. This impacts those
brought in to manipulate the mass and requires a specific
infrastructure for the creation, storage, processing, analysis and
recovery. The biggest challenge lies in enhancement data available in
greater quantities, diversity and access speeds.
|
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| isbn | 9781848218802 |
| language | English |
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| series | Smart innovation set |
| series2 | Smart innovation set Innovation, entrepreneurship, management series |
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| title | Big data, open data and data development |
| title_auth | Big data, open data and data development |
| title_exact_search | Big data, open data and data development |
| title_full | Big data, open data and data development Jean-Louis Monino, Soraya Sedkaoui |
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| title_full_unstemmed | Big data, open data and data development Jean-Louis Monino, Soraya Sedkaoui |
| title_short | Big data, open data and data development |
| title_sort | big data open data and data development |
| topic | Open Data (DE-588)1064023886 gnd Big Data (DE-588)4802620-7 gnd |
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