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Weblyzard & Tradeoffs in Elasticsearch
# Weblyzard (Arno Scharl) TBD # Make Your Data FABulous (Philipp Krenn) The CAP theorem is widely known for distributed systems, but it's not the only tradeoff you should be aware of. For datastores there is also the FAB theory and just like with the CAP theorem you can only pick two: * Fast: Results are real-time or near real-time instead of batch oriented. * Accurate: Answers are exact and don't have a margin of error. * Big: You require horizontal scaling and need to distribute your data. While Fast and Big are relatively easy to understand, Accurate is a bit harder to picture. This talk shows some concrete examples of accuracy tradeoffs Elasticsearch can take for terms aggregations, cardinality aggregations with HyperLogLog++, and the IDF part of full-text search. Or how to trade some speed or the distribution for more accuracy. # Sponsoring Thanks to our sponsor Ableneo (http://www.ableneo.com ) and Elastic (https://www.elastic.co) we will be providing drinks and snacks as usual.

Das Stockwerk - coworking space

Pater-Schwartz-Gasse 11A · Wien

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    Elastic meetups are great way to network with your fellow Elasticsearch, Kibana, Beats, and Logstash users. Share experience, ideas, and have a great time. This is a quarterly event held in Vienna for all Elastic users, fans, or people who want to get to know this cool technology. We meet, search, and analyze in real time. Isn't it sweet?! Want to join? You are very welcome!

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