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100   $a20030820d2002      uy             0
101 0 $aeng
135   $aurcn|||||||||
181   $ctxt
182   $cc
183   $acr
200 00$aDB2 UDB's high function business intelligence in e-business$b[electronic resource] /$f[Nagraj Alur ... et al.]
205   $a1st ed.
210   $aSan Jose, Calif. $cIBM Corp.$d2002
215   $axxii, 252 p. $cill
225 1 $aIBM redbooks
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a0-7384-2460-9 
320   $aIncludes bibliographical references and index.
330   $aThis IBM Redbooks publication deals with exploiting DB2 UDB?s materialized views (also known as ASTs/MQTs), statistics, analytic, and OLAP functions in e-business applications to achieve superior performance and scalability. This book is aimed at a target audience of DB2 UDB application developers, database administrators (DBAs), and independent software vendors (ISVs). We provide an overview of DB2 UDB?s materialized views implementation, as well as guidelines for creating and tuning them for optimal performance. We introduce key statistics, analytic, and OLAP functions, and describe their corresponding implementation in DB2 UDB with usage examples. Finally, we describe typical business level queries that can be answered using DB2 UDB?s statistics, analytic, and OLAP functions. These business queries are categorized by industry, and describe the steps involved in resolving the query, with sample SQL and visualization of results.
410  0$aIBM redbooks.
606   $aElectronic commerce
606   $aBusiness intelligence
606   $aDatabase management
615  0$aElectronic commerce.
615  0$aBusiness intelligence.
615  0$aDatabase management.
701   $aAlur$b Nagraj$01511159
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910782025303321
996   $aDB2 UDB's high function business intelligence in e-business$93806657
997   $aUNINA