Name: Apache Beam meetup 2: Beam at Spotify + Beam at EQT + tech deep dive
Start: 2019-05-06T18:00:00+02:00
End: 2019-05-06T20:00:00+02:00
Location: Spotify

The Beam meetup Stockholm is back. We want to invite you to join us for the 2nd Beam meet up in Stockholm, to get an update on what is going on in the land of streaming analytics, learn how it is used by your peers, discuss and have your questions answered.

We will have 3 speakers: from Spotify, EQT and Google! We hope to be able to welcome you at the Spotify this time (https://labs.spotify.com) offices!

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Agenda
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18:00 - Registrations, pizza and drinks.

18:30 - Community update by Matthias Baetens.

18:45 - 1st talk: Beam at Spotify by Gleb Kanterov.

19:15 - 2nd talk: Beam at EQT by Vilhelm von Ehrenheim.

19:45 - 3rd talk: Beam tech deep dive by Robert Bradshaw.

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Talks
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1st talk
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Gleb is Staff Engineer at Spotify and Apache Beam Committer. At Spotify, he works on Data Platforms. He likes hard problems and good coffee. Gleb will talk do an introduction to Beam SQL, and how it's used at Spotify.

2nd talk
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Vilhelm is the Lead Data Engineer behind the AI project Motherbrain at EQT, which has been using Apache Beam as the primary data processing framework during the last two years. Vilhelm will talk about how they use Beam and share some learnings.

3rd talk
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Robert Bradshaw, senior software engineer at Google, one of the original authors of the FlumeJava and Dataflow paper (https://ai.google/research/people/RobertBradshaw) will go deeper into the technicalities of Beam. Specifically, he will talk about Beam portability and cross-language pipelines.

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Who should attend
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Everyone interested in Data Engineering, Data Science and Machine Learning, who wants to learn about one of the newer and exciting Apache projects focused on batch & stream processing of data. We try to cover both business value as well as digging deeper technically.

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Sponsors
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Thanks to Spotify (https://www.spotify.com) for providing the space. Thanks to EQT (https://www.eqtpartners.com) for sponsoring the meetup.

Matthias Baetens

Vilhelm von Ehrenheim

Gleb Kanterov

Anders Åsbrink

Apache Beam Stockholm

Technology

Spark Streaming

Apache Beam

Apache Flink

Apache Spark

Stream Processing

Machine Learning

Google Cloud