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Using Kudu with Apache Spark and Apache Flume : hands-on experience using the Kudu Storage Manager with Apache Spark, Spark SQL, MLlib, and Apache Flume /
"Apache Kudu, the breakthrough storage technology, is often used in conjunction with other Hadoop ecosystem frameworks for data ingest, processing, and analysis. This is a practical, hands-on course that shows you how Kudu works with four of those frameworks: Apache Spark, Spark SQL, MLlib, and...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
[2017]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Bosshart, Ryan, |e speaker. | |
| 245 | 1 | 0 | |a Using Kudu with Apache Spark and Apache Flume : |b hands-on experience using the Kudu Storage Manager with Apache Spark, Spark SQL, MLlib, and Apache Flume / |c with Ryan Bosshart. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c [2017] | |
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| 511 | 0 | |a Presenter, Ryan Bosshart. | |
| 500 | |a Title from title screen (viewed April 4, 2017). | ||
| 500 | |a Date of publication from resource description page. | ||
| 520 | |a "Apache Kudu, the breakthrough storage technology, is often used in conjunction with other Hadoop ecosystem frameworks for data ingest, processing, and analysis. This is a practical, hands-on course that shows you how Kudu works with four of those frameworks: Apache Spark, Spark SQL, MLlib, and Apache Flume. You'll use the Kudu-Spark module with Spark and SparkSQL to seamlessly create, move, and update data between Kudu and Spark; then use Apache Flume to stream events into a Kudu table, and finally, query it using Apache Impala. The course is designed for learners with some limited experience using Hadoop ecosystem components like HDFS, Hive, Spark, or Impala."--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 |
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| 650 | 0 | |a Electronic data processing |x Distributed processing. | |
| 650 | 0 | |a Information storage and retrieval systems |x Management. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Traitement réparti. | |
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| 650 | 7 | |a Electronic data processing |x Distributed processing. |2 fast |0 (OCoLC)fst00906987 | |
| 650 | 7 | |a Information storage and retrieval systems |x Management. |2 fast |0 (OCoLC)fst00972936 | |
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