We have just released Snowplow 0.5.0, with an all-new component, the Snowplow EmrEtlRunner. EmrEtlRunner is a Ruby application to run Snowplow’s Hive-based ETL (extract, transform, load) process on Amazon Elastic MapReduce with minimum fuss.
We are hugely grateful to community member Michael Tibben from 99designs for his contributions to EmrEtlRunner: thanks to Michael, EmrEtlRunner is more efficient, more flexible and more robust than it otherwise would have been – and ready sooner. Many thanks Michael!
EmrEtlRunner is a Ruby application which you can setup on your server to regularly take your raw Snowplow logs (as stored in CloudFront access logs) and apply the Hive-based ETL process to them using Amazon Elastic MapReduce. This ETL process populates a Hive-format events table which you can then use with the HiveQL recipes in our Analyst’s Cookbook.
For detailed instructions on installing, running and scheduling EmrEtlRunner on your server, please see the Deploying EmrEtlRunner guide on the Snowplow Analytics wiki.
If you want to take a look at the code, you can find it in the main repository here:
In the pipeline
At Snowplow we want to support multiple different storage and analytics options for Snowplow events, alongside our current Hive-based approach. Our first priority is supporting Infobright Community Edition (ICE) for event storage and querying; extending the current ETL process to load Snowplow events into ICE will be the focus of our next few releases, so please stay tuned!