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Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph /
Provides an overview of the drivers for introducing big data technology into an organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Elsevier/Morgan Kaufmann,
2013.
|
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a Loshin, David, |d 1963- |e author. | |
| 245 | 1 | 0 | |a Big data analytics : |b from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph / |c David Loshin. |
| 264 | 1 | |a Amsterdam : |b Elsevier/Morgan Kaufmann, |c 2013. | |
| 300 | |a 1 online resource (xx, 120 pages) : |b color illustrations | ||
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| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Chapter 1. Market and business drivers for big data analytics -- chapter 2. Business problems suited to big data analytics -- chapter 3. Achieving organizational alignment for big data analytics -- chapter 4. Developing a strategy for integrating big data analytics into the enterprise -- chapter 5. Data governance for big data analytics : considerations for data policies and processes -- chapter 6. Introduction to high-performance appliances for big data management -- chapter 7. Big data tools and techniques -- chapter 8. Developing big data applications -- chapter 9. NoSQL data management for big data -- chapter 10. Using graph analytics for big data -- chapter 11. Developing the big data roadmap. | |
| 520 | |a Provides an overview of the drivers for introducing big data technology into an organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Big data. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 7 | |a COMPUTERS |x Database Management |x Data Warehousing. |2 bisacsh | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 776 | 0 | 8 | |i Print version: |a Loshin, David. |t Big Data Analytics : From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph. |d Burlington : Elsevier Science, ©2013 |z 9780124173194 |
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