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010   $a1-299-40300-X
010   $a0-12-397791-6
035   $a(OCoLC)830832567
035   $a(MiFhGG)GVRL8AIL
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100   $a20130712d2013      uy             0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aManaging data in motion $edata integration, best practice techniques and technologies /$fApril Reeve
205   $a1st edition
210   $aWaltham, Mass. $cMorgan Kaufmann$d2013
210  1$aWaltham, MA :$cMorgan Kaufmann, an imprint of Elsevier,$d2013.
215   $a1 online resource (xxvii, 174 pages) $cillustrations (chiefly color)
225 1 $aThe Morgan Kaufmann Series on Business Intelligence
300   $aDescription based upon print version of record.
311   $a0-12-397167-5 
320   $aIncludes bibliographical references and index.
327   $apt. 1. Introduction to data integration -- pt. 2. Batch data integration -- pt. 3. Real time data integration -- pt. 4. Big, cloud, virtual data.
330   $aManaging Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.   The average enterprise's computing environment is compr
410  0$aMorgan Kaufmann Series on Business Intelligence
606   $aData integration (Computer science)
615  0$aData integration (Computer science)
676   $a005.72
700   $aReeve$b April$01537417
801  0$bMiFhGG
801  1$bMiFhGG
906   $aBOOK
912   $a9910786129003321
996   $aManaging data in motion$93786715
997   $aUNINA