Elastic Virtual Meetup #3: Make Your Data FABulous

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This is a virtual meetup occurring at 3.30PM India Standard time / 6.00PM Singapore Time (Please use the timezone calculator to find out your local time).

🕒Timezone calculator: https://ela.st/virtualmu3

Please click on the invite link below to register and join!

🖱️Invite: https://elastic.zoom.us/webinar/register/WN_7-ZRNguwTHys38YKV6lgow

📝Agenda
We will have a talk by Philipp Krenn, Community Advocate at Elastic, followed by an open Q&A session.

⭐Topic: Make Your Data FABulous

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.

👨🏽‍💻Speaker: Philipp Krenn, Community Advocate, Elastic
Philipp lives to demo interesting technology. Having worked as a web, infrastructure, and database engineer for more than ten years, Philipp is now working as a developer advocate at Elastic — the company behind the open source Elastic Stack consisting of Elasticsearch, Kibana, Beats, and Logstash. Based in Vienna, Austria, he is constantly traveling Europe and beyond to speak and discuss about open source software, search, databases, infrastructure, and security.

🗓️🌏We are planning to run regular online meetups, scheduled in the Asia Pacific time zone. We welcome talks on any aspect of data exploration! If you are keen in presenting, just drop us a note or email us at [masked]