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210123 ||| eng |
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|a QA76.76.D47
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| 245 |
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|a Learning Path
|b Advanced Architecture for Big Data Applications
|c O'Reilly Media, Inc
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|a 1st edition
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| 260 |
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|b O'Reilly Media, Inc.
|c 2016
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|a 1 streaming video file, approximately 23 hr., 19 min.
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|a Big data / fast
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|a Ordinateurs / Architecture
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|a Vidéo en continu
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|a Computer architecture / http://id.loc.gov/authorities/subjects/sh85029479
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|a Computer software / Development / http://id.loc.gov/authorities/subjects/sh85029535
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|a Big data / http://id.loc.gov/authorities/subjects/sh2012003227
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|a Computer software / Development / fast
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|a Données volumineuses
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|a Computer architecture / fast
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|a streaming video / aat
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|a Streaming video / http://id.loc.gov/authorities/subjects/sh2005005237
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|a Not recommended for use on the libraries' public computers
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|a Made available through: Safari, an O'Reilly Media Company
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|z 9781491978658
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|u https://learning.oreilly.com/videos/~/9781491978665/?ar
|x Verlag
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|a 000
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|a Sharpen your architectural skills by understanding challenges in the main areas of distributed systems: storage, computation, messaging, timing, and consensus. You'll learn how to develop highly scalable big data applications using Apache Accumulo, to model and design an agile data warehouse, and to use Elasticsearch to search, aggregate, analyze, and scale large volume datastores. You'll also learn how to identify insecurities in your big data cluster, and to secure them using MIT Kerberos, authentication with Active Directory, and authorization
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