Name: Upstream Processing with Apache Flink for Immediate Intelligence + Apache Druid
Start: 2022-05-03T18:00:00+02:00
End: 2022-05-03T19:00:00+02:00

Applications built with Apache Druid databases are revolutionary: a real-time event hub and processor such as Apache Flink is an essential component that keeps the user up-to-date and the statistics meaningful. Peter Marshall (Sr. Developer Advocate in Imply’s Community Team) talks about the importance of fast upstream processing and delivery to modern “immediate intelligence” applications, drilling into some examples of work done upstream of Apache Druid.

**Caito Scherr, Ververica:**
Caito is a Software-Engineer-turned-Developer-Advocate. She represents the US region for Ververica, creators of Apache Flink (a stream processing engine). Her engineering background is in stream processing and data analytics/observability. Outside of tech, she loves running, dance, woodworking, and terrible puns.

**Peter Marshall, Druid**
[Peter ](https://www.petermarshall.io)is an award winning speaker who leads community developer advocacy at [Imply](http://imply.io/), a company founded by the original developers of Apache Druid. He has 20 years architecture experience in CRM, EDRM, ERP, EIP, Digital Services, Security, BI, Analytics, and MDM. He is TOGAF certified and has a BA (hons) degree in Theology and Computer Studies from the University of Birmingham in the United Kingdom.

Kaye Lincoln

Apache Flink Meetup Munich

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Java

Apache

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Hadoop

Big Data

MapReduce

Machine Learning

Data Analytics

NoSQL

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Apache Storm

Apache Flink

Upstream Processing with Apache Flink for Immediate Intelligence + Apache Druid

Stream Processing

Apache Druid

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Apache Flink Meetup Munich

Upstream Processing with Apache Flink for Immediate Intelligence + Apache Druid

Apache Flink Meetup Munich

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