The Spark video collection: 2016
"Subscribe to this ongoing compilation of Spark talks from leading developers and practitioners at Strata + Hadoop World conferences in 2016 (including San Jose, London, Beijing, New York, and Singapore). Receive an updated stream of talks covering the latest trends in Spark for real-time analy...
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Corporate Author: | |
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Other Authors: | |
Format: | Electronic Video |
Language: | English |
Published: |
[Place of publication not identified]
O'Reilly Media
2016
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Subjects: | |
Links: | https://learning.oreilly.com/library/view/-/9781491970355/?ar |
Summary: | "Subscribe to this ongoing compilation of Spark talks from leading developers and practitioners at Strata + Hadoop World conferences in 2016 (including San Jose, London, Beijing, New York, and Singapore). Receive an updated stream of talks covering the latest trends in Spark for real-time analytics and machine learning, as well as tips on how to deploy Spark in production. Topics range from Spark 2.0, anomaly detection with Spark, training deep networks in Spark, and tips for securing and scaling Spark in production. Subscribers will receive an updated group of the latest Spark talks after each Strata + Hadoop World conference in 2016."--Resource description page. |
Item Description: | Title and publication information from resource description page (Safari, viewed July 29, 2016) |
Physical Description: | 1 Online-Ressource (1 streaming video file (7 hr., 58 min., 13 sec.)) digital, sound, color |
Staff View
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spelling | The Spark video collection 2016 [Place of publication not identified] O'Reilly Media 2016 1 Online-Ressource (1 streaming video file (7 hr., 58 min., 13 sec.)) digital, sound, color zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title and publication information from resource description page (Safari, viewed July 29, 2016) "Subscribe to this ongoing compilation of Spark talks from leading developers and practitioners at Strata + Hadoop World conferences in 2016 (including San Jose, London, Beijing, New York, and Singapore). Receive an updated stream of talks covering the latest trends in Spark for real-time analytics and machine learning, as well as tips on how to deploy Spark in production. Topics range from Spark 2.0, anomaly detection with Spark, training deep networks in Spark, and tips for securing and scaling Spark in production. Subscribers will receive an updated group of the latest Spark talks after each Strata + Hadoop World conference in 2016."--Resource description page. Spark (Electronic resource : Apache Software Foundation) Apache Hadoop Electronic data processing Distributed processing Apache Hadoop (OCoLC)fst01911570 Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Traitement réparti Electronic data processing ; Distributed processing (OCoLC)fst00906987 Xin, Reynold MitwirkendeR ctb O'Reilly & Associates, MitwirkendeR ctb |
spellingShingle | The Spark video collection 2016 Spark (Electronic resource : Apache Software Foundation) Apache Hadoop Electronic data processing Distributed processing Apache Hadoop (OCoLC)fst01911570 Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Traitement réparti Electronic data processing ; Distributed processing (OCoLC)fst00906987 |
subject_GND | (OCoLC)fst01911570 (OCoLC)fst01938143 (OCoLC)fst00906987 |
title | The Spark video collection 2016 |
title_auth | The Spark video collection 2016 |
title_exact_search | The Spark video collection 2016 |
title_full | The Spark video collection 2016 |
title_fullStr | The Spark video collection 2016 |
title_full_unstemmed | The Spark video collection 2016 |
title_short | The Spark video collection |
title_sort | spark video collection 2016 |
title_sub | 2016 |
topic | Spark (Electronic resource : Apache Software Foundation) Apache Hadoop Electronic data processing Distributed processing Apache Hadoop (OCoLC)fst01911570 Spark (Electronic resource : Apache Software Foundation) (OCoLC)fst01938143 Traitement réparti Electronic data processing ; Distributed processing (OCoLC)fst00906987 |
topic_facet | Spark (Electronic resource : Apache Software Foundation) Apache Hadoop Electronic data processing Distributed processing Traitement réparti Electronic data processing ; Distributed processing |
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