| Record ID | marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run06.mrc:1659470:1971 |
| Source | marc_openlibraries_sanfranciscopubliclibrary |
| Download Link | /show-records/marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run06.mrc:1659470:1971?format=raw |
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001 ocn945947643
003 OCoLC
005 20170726110310.0
008 160401s2017 caua 001 0 eng d
019 $a986974952
020 $a9781491956656
020 $a1491956658
024 3 $a9781491956656
035 $a(OCoLC)945947643$z(OCoLC)986974952
037 $bOreilly & Associates Inc, C/O Ingram Pub Services 1 Ingram Blvd, LA Vergne, TN, USA, 37086$nSAN 631-8673
040 $aBTCTA$beng$erda$cBTCTA$dYDXCP$dSXP$dEXR$dUOK$dBDX$dCLE$dOCLCF$dSFR
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050 4 $aQA76.585$b.T46 2017
082 04 $a004.6782$223
092 $a004.6782$bT2354m
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 $aSebastopol, CA :$bO'Reilly,$c2017.
300 $axii, 396 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aIncludes index.
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.
650 0 $aMicrosoft Azure (Computing platform)
650 0 $aCloud computing.
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938 $aBrodart$bBROD$n115520864
938 $aBaker and Taylor$bBTCP$nBK0018646360
938 $aYBP Library Services$bYANK$n12922907
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