Hadoop fundamentals for data scientists:
"Get a practical introduction to Hadoop, the framework that made big data and large-scale analytics possible by combining distributed computing techniques with distributed storage. In this video tutorial, hosts Benjamin Bengfort and Jenny Kim discuss the core concepts behind distributed computi...
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Format: | Elektronisch Video |
Sprache: | Englisch |
Veröffentlicht: |
[Place of publication not identified]
O'Reilly Media
2015
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Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781491913161/?ar |
Zusammenfassung: | "Get a practical introduction to Hadoop, the framework that made big data and large-scale analytics possible by combining distributed computing techniques with distributed storage. In this video tutorial, hosts Benjamin Bengfort and Jenny Kim discuss the core concepts behind distributed computing and big data, and then show you how to work with a Hadoop cluster and program anlaytical jobs. You'll also learn how to use higher-level tools such as Hive and Spark."--Resource description page. |
Beschreibung: | Title from resource description page (viewed February 4, 2015). - Date of publication taken from resource description page |
Umfang: | 1 Online-Ressource (1 streaming video file (6 hr., 5 min., 30 sec.)) digital, sound, color. |
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spelling | Bengfort, Benjamin VerfasserIn aut Hadoop fundamentals for data scientists Benjamin Bengfort, Jenny Kim [Place of publication not identified] O'Reilly Media 2015 1 Online-Ressource (1 streaming video file (6 hr., 5 min., 30 sec.)) digital, sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from resource description page (viewed February 4, 2015). - Date of publication taken from resource description page "Get a practical introduction to Hadoop, the framework that made big data and large-scale analytics possible by combining distributed computing techniques with distributed storage. In this video tutorial, hosts Benjamin Bengfort and Jenny Kim discuss the core concepts behind distributed computing and big data, and then show you how to work with a Hadoop cluster and program anlaytical jobs. You'll also learn how to use higher-level tools such as Hive and Spark."--Resource description page. Apache Hadoop Electronic data processing Distributed processing Information retrieval Big data Apache Hadoop (OCoLC)fst01911570 Traitement réparti Recherche de l'information Données volumineuses information retrieval Big data (OCoLC)fst01892965 Electronic data processing ; Distributed processing (OCoLC)fst00906987 Information retrieval (OCoLC)fst00972619 Electronic videos Kim, Jenny MitwirkendeR ctb |
spellingShingle | Bengfort, Benjamin Hadoop fundamentals for data scientists Apache Hadoop Electronic data processing Distributed processing Information retrieval Big data Apache Hadoop (OCoLC)fst01911570 Traitement réparti Recherche de l'information Données volumineuses information retrieval Big data (OCoLC)fst01892965 Electronic data processing ; Distributed processing (OCoLC)fst00906987 Information retrieval (OCoLC)fst00972619 Electronic videos |
subject_GND | (OCoLC)fst01911570 (OCoLC)fst01892965 (OCoLC)fst00906987 (OCoLC)fst00972619 |
title | Hadoop fundamentals for data scientists |
title_auth | Hadoop fundamentals for data scientists |
title_exact_search | Hadoop fundamentals for data scientists |
title_full | Hadoop fundamentals for data scientists Benjamin Bengfort, Jenny Kim |
title_fullStr | Hadoop fundamentals for data scientists Benjamin Bengfort, Jenny Kim |
title_full_unstemmed | Hadoop fundamentals for data scientists Benjamin Bengfort, Jenny Kim |
title_short | Hadoop fundamentals for data scientists |
title_sort | hadoop fundamentals for data scientists |
topic | Apache Hadoop Electronic data processing Distributed processing Information retrieval Big data Apache Hadoop (OCoLC)fst01911570 Traitement réparti Recherche de l'information Données volumineuses information retrieval Big data (OCoLC)fst01892965 Electronic data processing ; Distributed processing (OCoLC)fst00906987 Information retrieval (OCoLC)fst00972619 Electronic videos |
topic_facet | Apache Hadoop Electronic data processing Distributed processing Information retrieval Big data Traitement réparti Recherche de l'information Données volumineuses information retrieval Electronic data processing ; Distributed processing Electronic videos |
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