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Learning Apache Hadoop /
"In this Introduction to Hadoop training course, expert author Rich Morrow will teach you the tools and functions needed to work within this open-source software framework. This course is designed for the absolute beginner, meaning no prior experience with Hadoop is required. You will start out...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
InfiniteSkills,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 037 | |a CL0500000444 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.D5 | |
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| 100 | 1 | |a Morrow, Rich. | |
| 245 | 1 | 0 | |a Learning Apache Hadoop / |c Rich Morrow. |
| 260 | |a [Place of publication not identified] : |b InfiniteSkills, |c 2014. | ||
| 300 | |a 1 online resource (1 streaming video file (7 hr., 37 min., 7 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Title from resource description page (Safari, viewed June, 4, 2014). | ||
| 511 | 0 | |a Presenter, Rich Morrow. | |
| 520 | |a "In this Introduction to Hadoop training course, expert author Rich Morrow will teach you the tools and functions needed to work within this open-source software framework. This course is designed for the absolute beginner, meaning no prior experience with Hadoop is required. You will start out by learning the basics of Hadoop, including the Hadoop run modes and job types and Hadoop in the cloud. You will then learn about the Hadoop distributed file system (HDFS), such as the HDFS architecture, secondary name node, and access controls. This video tutorial will also cover topics including MapReduce, debugging basics, hive and pig basics, and impala fundamentals. Finally, Rich will teach you how to import and export data. Once you have completed this computer based training video, you will be fully capable of using the tools and functions you've learned to work successfully in Hadoop. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Apache Hadoop. |
| 630 | 0 | 7 | |a Apache Hadoop. |2 fast |0 (OCoLC)fst01911570 |
| 650 | 0 | |a Electronic data processing |x Distributed processing. | |
| 650 | 0 | |a Big data. | |
| 650 | 6 | |a Traitement réparti. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Electronic data processing |x Distributed processing. |2 fast |0 (OCoLC)fst00906987 | |
| 655 | 4 | |a Electronic videos. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781771372374/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||