Beats

Enriching your postal addresses with Elastic stack - part 3

This blog post is part of a series of 3: Importing Bano dataset with Logstash Using Logstash to lookup for addresses in Bano index Using Logstash to enrich an existing dataset with Bano In the previous post, we described how we can transform a postal address to a normalized one with also the geo location point or transform a geo location point to a postal address. Let’s say we have an existing dataset we want to enrich.

5 years. What a milestone!

What a milestone! Can you imagine how changed the company in the last 5 years? From 10 employees when I joined to more than 700 now! If you want to read again my story, it’s there: 2013: Once upon a time… 2014: Once upon a time: a year later… 2015: Once upon a time: Make your dreams come true 2016: 3 years! Time flies! 2017: 4 years at elastic! Before speaking about what happened the last 5 years for me, let’s modify a bit the script I wrote last year.

4 years at elastic!

This post is starting to become a long series 😊 Yeah! That’s amazing! I just spent 4 years working at elastic and I’m starting my happy 5th year! If you want to read again my story, it’s there: 2013: Once upon a time… 2014: Once upon a time: a year later… 2015: Once upon a time: Make your dreams come true 2016: 3 years! Time flies! This year, I will celebrate this by writing a new tutorial…

And the beats go on!

Sounds like a cool music, right? At least this is one of my favorite tracks. May be some of you already know that, I enjoy doing some DeeJaying for my friends. But today, I want to speak about another kind of beats. Elastic beats! Elastic Beats Actually my favorite funky music track is a one from Georges Duke: Reach out! But this is another story… Beats So what are beats? Beats are lightweight shippers that collect and ship all kinds of operational data to Elasticsearch