Kibana/Elasticsearch Terms & Significant Terms [Kibana Tutorials]

In this video we'll look at how Elasticsearch is building terms from your data, and how terms and significant terms aggregations work.
More Kibana tutorials can be found on www.timroes.de
All Kibana tutorials are available in the Kibana Tutorials playlist: • Kibana Tutorials

[@AhmedKamalYazeed]

Thanks Tim .. These tutorials are really high quality! Why only 2 of them, please keep them coming :)

[@TimRoes]

Thanks Ahmed. I'm glad the tutorials could help you in some way. I am planning a larger tutorial and introduction for Kibana 5, but wanted to wait until the Beta is released, because updating videos during Alpha changes is kind of annoying :-)
But since the first Beta got released some days ago, I will start the next tutorials as soon as I am back home from conference.

[@tarvinder91]

Really nice tutorial. Thanks a ton.

[@natysanMDQ]

Thanks Tim, this tutorials are brilliant. Really helpful :)

[@miguelbo6363]

instaBlaster

[@MohamedShehab]

HI Tim, Thanks a lot for this nice Tutorial, I have a question about how to determine Multi-Word Terms, for example to extracts multi-word Terms that appear the most in News Titles for a set of documents.

[@TimRoes]

If I understand you correctly, you would like to analyze a string like "the brown fox" and would like to also get a term for e.g. "brown fox" and not just "brown" and "fox"? So you can see what "wordpairs" appear most often?
If that is what you want, you will need to use a special analyzing to create that kind of terms. The "Shingle Token Filter" (www.elastic.co/guide/en/elasticsearch/reference/current/analysis-shingle-tokenfilter.html) is what you need. An example mapping that you could use can be found in this stackoverflow answer: stackoverflow.com/a/27392269/1044403
Is this what you are trying to achieve?

[@MohamedShehab]

Thanks a lot Tim, That's exactly what I'm looking for.