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00000cam a2200000Mu 4500 |
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OR_on1224914940 |
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OCoLC |
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20231017213018.0 |
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m d |
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cr |n||||||||| |
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201110s2020 xx o ||| 0 und d |
040 |
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|a VT2
|b eng
|c VT2
|d TOH
|d OCLCQ
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020 |
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|a 9781617296307
|
020 |
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|a 1617296309
|
029 |
1 |
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|a AU@
|b 000068857366
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035 |
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|a (OCoLC)1224914940
|
082 |
0 |
4 |
|a 006.76
|q OCoLC
|2 23/eng/20230216
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049 |
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|a UAMI
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100 |
1 |
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|a Nuckolls, Richard.
|
245 |
1 |
0 |
|a Azure Storage, Streaming, and Batch Analytics
|h [electronic resource] /
|c Richard Nuckolls.
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260 |
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|a [S.l.] :
|b Manning Publications,
|c 2020.
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300 |
|
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|a 1 online resource
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500 |
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|a Title from content provider.
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520 |
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|a Azure Storage, Streaming, and Batch Analytics shows you how to build state-of-the-art data solutions with tools from the Microsoft Azure platform. Read along to construct a cloud-native data warehouse, adding features like real-time data processing. Based on the Lambda architecture for big data, the design uses scalable services such as Event Hubs, Stream Analytics, and SQL databases. Along the way, you'll cover most of the topics needed to earn an Azure data engineering certification.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781617296307/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
|
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|a 92
|b IZTAP
|