| 000 | 01321cam a2200277 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223031030.0 | ||
| 008 | 140825s2013 ua h f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
||
| 041 | 0 | _aeng | |
| 049 | _aGift | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.34.M.Sc.2013.Am.H | ||
| 100 | 0 | _aAmr Osman | |
| 245 | 1 | 0 |
_aHigh performance cloud analytics / _cAmr Osman ; Supervised Ayman Elnaggar , Mohamed Elrefaey |
| 260 |
_aCairo : _bAmr Osman , _c2013 |
||
| 300 |
_a94 Leaves : _bfacsimiles ; _c30cm |
||
| 502 | _aThesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science and Engineering | ||
| 520 | _aThe data explosion and the tremendous growth in the volume of data generated from various IT services, places an enormous demand on harnessing and smartly analyzing the generated data to extract vital information and add more intelligence to existing system components. According to recent studies, it is predicted that the volume of such data will become 26 - fold in the next five years | ||
| 700 | 0 |
_aAyman Elnaggar , _eSupervisor |
|
| 700 | 0 |
_aMohamed Elrefaey , _eSupervisor |
|
| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
||
| 905 |
_aSamia _eCataloger |
||
| 942 |
_2ddc _cTH |
||
| 999 |
_c47021 _d47021 |
||