000 02022nam a2200325 i 4500
001 193005
003 MX-SnUAN
005 20211105092433.0
008 120910s2011 flua g b 001 0 eng
020 _a9781439815670
035 _avtls000299861
039 9 _a201406160340
_bVLOAD
_c201406081038
_dVLOAD
_c201303181358
_dVLOAD
_c201209121151
_dmzenis
_y201209101517
_zierodriguez
040 _aUKM
_cUKM
_dBTCTA
_dYDXCP
_dBWX
_dNUI
_dDLC
_dMX-SnUAN
_bspa
_erda
050 0 0 _aQA76.9.D3
_bB79 2011
100 1 _aBruno, Nicolas.
_eautor
_9204191
245 1 0 _aAutomated physical database design and tuning /
_cNicolas Bruno.
264 1 _aBoca Raton, FL :
_bCRC ;
_aLondon :
_bTaylor & Francis [distributor],
_cc2011.
300 _axiv, 239 páginas :
_bilustraciones ;
_c25 cm.
336 _atexto
_btxt
_2rdacontent
337 _ano mediado
_bn
_2rdamedia
338 _avolumen
_bnc
_2rdacarrier
490 1 _aEmerging directions in database systems and applications
504 _aIncluye referencias bibliográficas e índice.
520 1 _aRelational database systems have significantly evolved since their inception over 30 years ago. New applications are now more complex than ever and tuning a production system for performance has become a critical yet time-consuming activity. This book shows how to use automated systems for time-efficient database tuning. The author presents a detailed overview of the fundamental research that makes it possible to automatically recommend changes to the physical design of database systems. The book provides a comprehensive overview of the automated tuning tools that can be used to systematically explore the space of alternatives and to guide database administrators.
650 4 _990475
_aBases de datos relacionales
650 4 _929628
_aBase de datos
_xAdministración.
856 4 1 _3Tabla de contenido
_uhttp://www.loc.gov/catdir/toc/fy12pdf01/2011281708.html
942 _c1
999 _c193005
_d193005
999 _aVTLSSORT0080*0200*0400*0500*1000*2450*2600*3000*4900*5040*5200*6500*6501*8300*8560*9992