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sequenceiq-samples
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SequenceIQ Hadoop examples
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Download README
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sequenceiq-samples
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SequenceIQ Hadoop sample projects ============================ This repository is a collection of sample projects and code examples featured in our blog entries - for more details check [SequenceIQ blog](http://blog.sequenceiq.com). This samples repository and the blog contains random thoughts and proof-of-concepts/interesting issues we have face during our product development stack. Where the samples are not covered by a blog entry, we try to make them self explanatory or supply a short readme. Please feel free to collaborate, share, ask for help or report issues. * **flume-sources** module: [Custom Apache Flume source](http://blog.sequenceiq.com/blog/2014/02/22/custom-flume-source/) * **etl-samples** module: [ETL - producing better quality data](http://blog.sequenceiq.com/blog/2014/02/28/etl-and-data-quality/) * **hdp-sandbox-access** module: [Accessing HDP2 sandbox from the host](http://blog.sequenceiq.com/blog/2014/03/05/access-hdp2-sandbox/) * **lastfm-morphlines-etl** module: [How-to: Process Data using Morphlines (in Kite SDK)](http://blog.cloudera.com/blog/2014/04/how-to-process-data-using-morphlines-in-kite-sdk/) * **hdp-sandbox-access** module: [HDFS and java.nio.channels](http://blog.sequenceiq.com/blog/2014/03/07/read-from-hdfs/) * **mapreduce-morphline** module: [Data cleaning with MapReduce and Morphlines](http://blog.sequenceiq.com/blog/2014/03/11/data-cleaning-with-mapreduce-and-morphlines/) * **yarn-queue-tests** module: [YARN Capacity Scheduler](http://blog.sequenceiq.com/blog/2014/03/14/yarn-capacity-scheduler/) * **tez-dag-jobs** module: [Using Mahout with Tez](http://blog.sequenceiq.com/blog/2014/03/31/mahout-on-tez/) * **yarn-monitoring-R** module: [Monitoring YARN with R]() * **scalding-correlation** module: [Correlation example with Scalding](http://blog.sequenceiq.com/blog/2014/06/23/scalding-correlation-example/) * **spark-clustering** module: [K-means clustering on Spark](http://blog.sequenceiq.com/blog/2014/07/31/spark-mllib/) Thanks, [SequenceIQ](http://sequenceiq.com)
