Principles of big data preparing, sharing, and analyzing complex information
Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changi...
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier
c2013.
Waltham, MA : 2013. |
| Edición: | 1st edition |
| Colección: | Gale eBooks
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628355706719 |
| Sumario: | Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are |
|---|---|
| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (xxvi, 261 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9780124047242 |
