Hi Hema,
I think the CSV formatted data can be imported into HBase and then applied from there. I don’t know how accurate this is, but I was able to do some very basic enrichment using the steps here: hxxps://cwiki.apache.org/confluence/display/METRON/2016/06/16/Metron+Tutorial+-+Fundamentals+Part+6%3A+Streaming+Enrichment To quote: “As you can see, we are using a stock CSVParser implemented in Metron and a writer to write out to HBase in the key/value format suitable for use in the enrichment topology.” I think the idea is you will take your streaming information from one of your Kafka topics into Metron, where it will be enriched with your data from the CSV file, which you have imported into HBase. The machine learning you can perform using Stellar. Mind you, I haven’t done it myself (yet), so I’m eager to learn if I got this wrong. 😊 Tom. From: Hema malini <[email protected]> Reply-To: "[email protected]" <[email protected]> Date: Thursday, October 31, 2019 at 8:28 AM To: "[email protected]" <[email protected]> Subject: CSV formatted data to Metron and deploying ML models Hi, We have logs collected from devices defined in csv format and we need to stream the logs to Metron pipeline and apply our ml models. Tried sending bro logs and able to see jivana dashboard. To which Kafka topic i need to send the CSV formatted logs and visualise in Kibana. How can i deploy the ml models in metron to determine the alerts .Can someone provide any link . Thanks and Regards, Hema
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