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4 |
|a QA76.9.D343
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| 100 |
1 |
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|a Black, Benjamin
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| 245 |
0 |
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|a Present tense
|b the challenges and trade-offs in building a web-scale real-time analytics system
|c Benjamin Black
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| 260 |
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|a [United States?]
|b O'Reilly Media
|c 2011
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| 300 |
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|a 1 streaming video file (36 min., 40 sec.)
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| 653 |
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|a Data Mining
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| 653 |
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|a Business intelligence / fast / (OCoLC)fst00842723
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| 653 |
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|a Data mining / fast / (OCoLC)fst00887946
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| 653 |
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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| 653 |
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|a Business intelligence / http://id.loc.gov/authorities/subjects/sh85018300
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| 653 |
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|a Exploration de données (Informatique)
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Recorded at O'Reilly strata making data work conference: Feb. 1-3, 2011, Santa Clara, Calif
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|u https://learning.oreilly.com/videos/~/9781449306236/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 428.34
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|a 330
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|a "The rise of sensor network data and the expectation for low latency query responses combine to make available databases and storage platforms obsolete. We have built a platform for web-scale OLAP and in this talk I will cover how we made our infrastructure capable of real-time update and query performance over hundreds of terabytes of multidimensional data."--Resource description page
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