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24 de oct. de 2022 · Apache Flume is a software that collects, aggregates, and moves large amounts of log data efficiently and reliably. It has a simple and flexible architecture, supports many sources and sinks, and provides online analytic applications.
- How to Get Involved
The Apache Flume project needs and appreciates all...
- Documentation
Flume User Guide; Flume Developer Guide; The documents below...
- Source Repository
Flume maintains an active release branch along with trunk....
- Download
Apache Flume is distributed under the Apache License,...
- Team
Name Email Id Role; Ashish Paliwal: apaliwal at apache.org:...
- Apache License
Apache License¶. Version 2.0, January 2004....
- Testing
Testing¶. The Apache Flume project uses TravisCI to test the...
- Releases
Releases¶. Current Release. The current stable release is...
- How to Get Involved
15 de ene. de 2016 · Flume - Never Be Like You feat. KaiSubscribe to the Flume YouTube channel for more music & videos: http://flu.me/YouTubeNew Flume apparel: http://flu.me/Stor...
El DJ y productor australiano Harley Edward Streten, conocido en todo el mundo con su nombre artístico Flume, confirmó su regreso a Argentina para el miércoles 31 de mayo en el Estadio Obras ...
13 de mar. de 2023 · Flume en Argentina: Cuándo Toca y Dónde Conseguir Entradas. Flume anunció su regreso a Argentina y su show en el Estadio Obras el 31 de mayo de 2023. El artista australiano es reconocido mundialmente como el ícono y precursor del future bass.
Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating and moving large amounts of log data from many different sources to a centralized data store. The use of Apache Flume is not only restricted to log data aggregation.
13 de mar. de 2023 · El dee jay y productor australiano Harley Edward Streten, más conocido en todo el mundo con su nombre artístico Flume, confirmó su regreso a Argentina para el miércoles 31 de mayo y en el ...
Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows.