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Apache Flume : Distributed Log Collection for Hadoop.
A starter guide that covers Apache Flume in detail. Apache Flume: Distributed Log Collection for Hadoop is intended for people who are responsible for moving datasets into Hadoop in a timely and reliable manner like software engineers, database administrators, and data warehouse administrators.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2013.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Hoffman, Steve. | |
| 245 | 1 | 0 | |a Apache Flume : |b Distributed Log Collection for Hadoop. |
| 260 | |b Packt Publishing, |c 2013. | ||
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Community experience distilled | |
| 520 | |a A starter guide that covers Apache Flume in detail. Apache Flume: Distributed Log Collection for Hadoop is intended for people who are responsible for moving datasets into Hadoop in a timely and reliable manner like software engineers, database administrators, and data warehouse administrators. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Overview and Architecture; Flume 0.9; Flume 1.X (Flume-NG); The problem with HDFS and streaming data/logs; Sources, channels, and sinks; Flume events; Interceptors, channel selectors, and sink processors; Tiered data collection (multiple flows and/or agents); Chapter 2: Flume Quick Start; Downloading Flume; Flume in Hadoop distributions; Flume configuration file overview; Starting up with Hello World -- Summary; Chapter 3: Channels; Memory channel; File channel; Summary. | |
| 505 | 8 | |a Chapter 4: Sinks and Sink ProcessorsHDFS sink; Path and filename; File rotation; Compression codecs; Event serializers; Text output; Text with headers; Apache Avro; File type; Sequence file; Data stream; Compressed stream; Timeouts and workers; Sink groups; Load balancing; Failover; Summary; Chapter 5: Sources and Channel Selectors; The problem with using tail; The exec source; The spooling directory source; Syslog sources; The syslog UDP source; The syslog TCP source; The multiport syslog TCP source; Channel selectors; Replicating; Multiplexing; Summary. | |
| 505 | 8 | |a Chapter 6: Interceptors, ETL, and RoutingInterceptors; Timestamp; Host; Static; Regular expression filtering; Regular expression extractor; Custom interceptors; Tiering data flows; Avro Source/Sink; Command-line Avro; Log4J Appender; The Load Balancing Log4J Appender; Routing; Summary; Chapter 7: Monitoring Flume; Monitoring the agent process; Monit; Nagios; Monitoring performance metrics; Ganglia; The internal HTTP server; Custom monitoring hooks; Summary; Chapter 8: There Is No Spoon -- The Realities of Real-time Distributed Data Collection; Transport time versus log time. | |
| 505 | 8 | |a Time zones are evilCapacity planning; Considerations for multiple data centers; Compliance and data expiry; Summary; Index. | |
| 588 | 0 | |a Print version record. | |
| 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 blmlsh |
| 630 | 0 | 7 | |a Apache Hadoop. |2 fast |0 (OCoLC)fst01911570 |
| 650 | 0 | |a File organization (Computer science) | |
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| 650 | 6 | |a Traitement réparti. | |
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| 650 | 7 | |a File organization (Computer science) |2 fast |0 (OCoLC)fst00924147 | |
| 655 | 4 | |a Llibres electrònics. | |
| 776 | 0 | 8 | |i Print version: |z 9781299735149 |
| 830 | 0 | |a Community experience distilled. | |
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