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RELK -- The Research Elastic Stack (Kafka, Beats, Zookeeper, Logstash, ElasticSearch, Kibana, Spark, & Jupyter -- All in Docker)

License: MIT License

Dockerfile 56.99% Shell 12.75% Jupyter Notebook 30.26%
beats docker elastic elasticsearch elk elk-stack es filebeats jupyter jupyter-lab jupyter-notebook kafka kibana logstash pyspark python spark zookeeper

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wesleyraptor bcp-infosec-repo askraja notabombe kranian musram tomwalls

relk's Issues

use case question / data ingestion

Hi,

Hope you are all well !

I was looking after a big data stack and I found your repository. After careful reading, some questions popped in my brain :-) about how I can re-use your great repository to my specific project.

So, I am developing an NLP analyzer on news articles, and I have more than 3000 rss/xml feeds. For managing the aggregation, I use this tool https://github.com/ncarlier/feedpushr and it has a kafka plugin to forward articles.

How can I plug it to your stack ? as I am quite new in handling such stacks.
Is there any example of data ingestion based on your stack ?

Thanks in advance for any insights or inputs on these questions.

Cheers,
X

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