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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-028.mrc:190355023:2909
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-028.mrc:190355023:2909?format=raw

LEADER: 02909cam a2200589Ii 4500
001 13876776
005 20220703225715.0
006 m o d
007 cr cnu|||unuuu
008 170411s2017 cc a o 001 0 eng d
035 $a(OCoLC)ocn982121239
035 $a(NNC)13876776
040 $aN$T$beng$erda$epn$cN$T$dN$T$dIDEBK$dEBLCP$dYDX$dOCLCF$dTEFOD$dOCLCQ$dCOO$dVT2$dINT$dXC$$dOCLCQ$dOCLCO$dWYU$dC6I$dOCLCQ$dOCLCO$dUKAHL$dOCLCQ$dZCU$dOCLCO
019 $a982152485$a982223369$a982329230$a982407275$a1048144577$a1060776618$a1066691788$a1103262629$a1129347639
020 $a9781491956625$q(electronic bk.)
020 $a1491956623$q(electronic bk.)
020 $a9781491956601$q(electronic bk.)
020 $a1491956607$q(electronic bk.)
020 $a1491956658
020 $a9781491956656
020 $z9781491956656
020 $z1491956658
024 3 $a9781491956656
035 $a(OCoLC)982121239$z(OCoLC)982152485$z(OCoLC)982223369$z(OCoLC)982329230$z(OCoLC)982407275$z(OCoLC)1048144577$z(OCoLC)1060776618$z(OCoLC)1066691788$z(OCoLC)1103262629$z(OCoLC)1129347639
037 $aCB2D7E1C-CA3B-4ADC-8E5D-58DBEAE66AAB$bOverDrive, Inc.$nhttp://www.overdrive.com
050 4 $aTK5105.88813
072 7 $aCOM$x000000$2bisacsh
082 04 $a006.78
049 $aZCUA
100 1 $aTejada, Zoiner,$eauthor.
245 10 $aMastering Azure Analytics :$barchitecting in the cloud with Azure Data Lake, HDInsight, and Spark /$cZoiner Tejada.
250 $aFirst edition.
264 1 $aBeijing :$bO'Reilly,$c2017.
300 $a1 online resource :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $aIncludes index.
588 0 $aVendor-supplied metadata.
520 $aHelps users understand the breadth of Azure services by organizing them into a reference framework they can use when crafting their own big-data analytics solution.
505 0 $a1. Enterprise Analytics Fundamentals; 2. Getting Data into Azure; 3. Storing Ingested Data in Azure; 4. Real-Time Processing in Azure; 5. Real-Time Micro-Batch Processing in Azure; 6. Batch Processing in Azure; 7. Interactive Querying in Azure; 8. Hot and Cold Path Serving Layer in Azure; 9. Intelligence and Machine Learning; 10. Managing Metadata in Azure; 11. Protecting Your Data in Azure; 12. Performing Analytics.
630 00 $aWindows Azure.
630 07 $aWindows Azure.$2fast$0(OCoLC)fst01796039
650 0 $aCloud computing.
650 6 $aInfonuagique.
650 7 $aCOMPUTERS$xGeneral.$2bisacsh
650 7 $aCloud computing.$2fast$0(OCoLC)fst01745899
655 0 $aElectronic book.
655 4 $aElectronic books.
776 08 $iPrint version:$z9781491956656$z1491956658$w(OCoLC)945947643
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio13876776$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS