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|a QA76.9.D5
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| 245 |
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|a Strata + Hadoop World 2016
|b London, United Kingdom : video compilation
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| 246 |
3 |
1 |
|a Strata and Hadoop World 2016
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| 246 |
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|a Strata plus Hadoop World 2016
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| 260 |
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|a [Place of publication not identified]
|b O'Reilly Media
|c 2016
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| 300 |
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|a 1 streaming video file (101 hr., 49 min., 43 sec.)
|b digital, sound, color
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| 653 |
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|a Données volumineuses / Congrès
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| 653 |
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|a Big data / Congresses
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| 653 |
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|a Apache Hadoop / Congresses
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| 653 |
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|a Apache Hadoop / fast / (OCoLC)fst01911570
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| 653 |
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|a Big data / fast / (OCoLC)fst01892965
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| 710 |
2 |
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|a Strata and Hadoop World (2016, London, United Kingdom)
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| 710 |
2 |
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|a Olson, Mike
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| 041 |
0 |
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 Title and publication information from resource description page (Safari, viewed July 12, 2016)
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|u https://learning.oreilly.com/videos/~/9781491944639/?ar
|x Verlag
|3 Volltext
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|a 000
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| 520 |
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|a "Sold out Strata+Hadoop London 2016 is a tour through the giant city of data led by guides expert in knowing just where to go. There is a lot to see in this video compilation that shows you every bit: 211 speakers, 108 sessions, 20 keynotes and 14 tutorials. Start your trip with a long-form tutorial exploring data territory such as: An 8-hour deep dive into all phases of managing Hadoop clusters; an 8-hour excursion through the hardcore data science world of data management, machine learning, natural language processing, crowd-sourcing, and algorithm design; an 8-hour Spark camp on all things Apache; or 3 1/2-hour tours on D3 data visualizations, artificial intelligence, optimizing workflow in R, and more. Want something shorter? Try visiting a mind-blowing conference session (30-40 minutes each) on topics ranging from H20 and TensorFlow to e-commerce A/B testing, predictive analysis, and natural language processing. Not interested? How about streaming analytics at 300 billion events per day with Kafka, Samza, and Druid or using Spark and Hadoop in high-speed trading environments? It's a travelogue of data wonders with something for everyone."--Resource description page
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