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Analytic data storage in Hadoop : understanding typical storage and ingest patterns /
"In this Analytic Data Storage in Hadoop training course, expert author Ryan Blue will teach you about typical storage and ingest patterns in Hadoop. This course is designed for users that are already familiar with Hadoop. You will start by learning how to create the dataset, load sample data,...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2015]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Blue, Ryan, |e speaker. | |
| 245 | 1 | 0 | |a Analytic data storage in Hadoop : |b understanding typical storage and ingest patterns / |c with Ryan Blue. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2015] | |
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| 511 | 0 | |a Presenter, Ryan Blue. | |
| 500 | |a Date of publication from resource description page. | ||
| 520 | |a "In this Analytic Data Storage in Hadoop training course, expert author Ryan Blue will teach you about typical storage and ingest patterns in Hadoop. This course is designed for users that are already familiar with Hadoop. You will start by learning how to create the dataset, load sample data, and query a dataset. From there, Ryan will teach you about partitioning, formats, and Avro. This video tutorial also covers parquet, bulk data drops, and database snapshots and mirroring. Finally, you will learn about event stream processing, including how to build a test pipeline and move to production. Once you have completed this computer based training course, you will have gained a solid understanding of typical storage and ingest patterns 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 |
| 650 | 0 | |a Information retrieval. | |
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Querying (Computer science) | |
| 650 | 0 | |a Database searching. | |
| 650 | 6 | |a Recherche de l'information. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 6 | |a Bases de données |x Interrogation. | |
| 650 | 7 | |a information retrieval. |2 aat | |
| 650 | 7 | |a online searching. |2 aat | |
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| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Information retrieval |2 fast | |
| 650 | 7 | |a Querying (Computer science) |2 fast | |
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