Summary

I showed you one example of the use of the Oozie coordinator, which offers cron-like capabilities to launch periodic Oozie workflows. The Oozie coordinator can also be used to trigger a workflow based on data availability (if no data is available, the workflow isn’t triggered). For example, if you had an external process, or even MapReduce generating data on a regular basis, you could use Oozie’s data-driven coordinator to trigger a workflow, which could aggregate or process that data.

In this section, we covered three automated mechanisms that can be used for data ingress purposes. The first technique covered Flume, a powerful tool for shipping your log data into Hadoop, and the second technique looked at the HDFS File Slurper, which ...

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