The Apache Flink® Conference

Stream Processing | Event Driven | Real Time

Berlin 2019

October 7
Training
October 8 & 9
Conference

Flink Forward is the conference dedicated to Apache Flink and stream processing community.

Flink Forward Berlin returns October 7-9, 2019! This time it's even bigger and in a brand new venue in the heart of Berlin. The Apache Flink community is growing and so is the conference, now gathering more than 400 developers, DevOps engineers, system/data architects, data scientists, Flink core committers and users to share their exciting use cases, best practices, and to connect with other members of the stream processing community.
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What you will get from the Conference

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50

In-depth Technical Talks

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20

Apache Flink Tutorials

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350+

Flink Community Members

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Experience how Flink is used in the real world

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Connect with the stream processing community

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Hear the Latest Apache Flink Updates

"It was a great conference, great to be part of the Flink community. See you next year!

@bgeerdink IT Chapter Lead at ING

"Thank you @dataArtisans and others for a great #FlinkForward this year! Had a great time, learned a lot, and was privileged to speak"

@chimerasaurus Product Manager at Google

Past Speakers

Shriya-Arora

Shriya Arora

Netflix

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Shriya Arora

Senior Data Engineer at Netflix

Shirya works on the Data engineering team for Personalization. Which, among other things, delivers recommendations made for each user. The team is responsible for the data that goes into training and scoring of the various machine learning models that power the Netflix homepage. They have been working on moving some of our core datasets from being processed in a once-a-day daily batch ETL to being processed in near-real time using Apache Flink. Before Netflix, she was at Walmart Labs, where she helped build and architect the new generation item-setup, moving from batch processing to stream. They used Storm-Kafka to enable a micro-services architecture that can allow for products to be updated near real-time as opposed to once-a-day update on the legacy framework.

Use Case

Taming large-state to join datasets for Personalization

Avihai.Berkovitz

Avihai Berkovitz

Microsoft

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Avihai Berkovitz

Group Architect at Microsoft

Avihai is an architect in the Microsoft Cloud App Security group, where he leads the development of strategic infrastructure changes and major product tracks. His main focus is designing and building applications at mass scale.

Use Cases

Anomaly Detection Engine for Cloud Activities using Flink

Isabel-Drost-Fromm

Isabel Drost-Fromm

Europace AG

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Isabel Drost-Fromm

Open Source Strategist at Europace AG

Isabel Drost-Fromm is Open Source Strategist at Europace AG Germany. She’s a member of the Apache Software Foundation, co-founder of Apache Mahout and mentored several incubating projects. Isabel is interested in all things FOSS, search and text mining with a decent machine learning background. True to the nature of people living in Berlin she loves having friends fly in for a brief visit – as a result she co-founded and is still one of the creative heads behind Berlin Buzzwords, a tech conference on all things search, scale and storage.

Ecosystem

The Apache Way! … ?

Dongwon-Kim-1

Dongwon Kim

SK Telecom

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Dongwon Kim

Manager at SK Telecom

Dongwon Kim is a big data architect at SK telecom. During his post-doctoral work, he was fascinated by the internal architecture of Flink and gave a talk titled “a comparative performance evaluation of Flink” at Flink Forward 2015. He introduces Flink to SK telecom, SK energy, and SK hynix to fulfill various needs for real-time streaming processing from the companies. Last year at Flink Forward 2017 Berlin, he shared his experience of using Flink in building a solution for Predictive Maintenance. He recently has been adopting Flink to calculate driving scores of millions of users in real time.

Use Case

Real-time driving score service using Flink

Aljoscha Krettek

Aljoscha Krettek

Ververica

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Aljoscha Krettek

Tech Team Lead at Ververica

Aljoscha Krettek is a PMC member at Apache Flink and co-founder and software engineer at “Ververica”:https://www.ververica.com. He studied Computer Science at TU Berlin, he has worked at IBM Germany and at the IBM Almaden Research Center in San Jose. In Flink, Aljoscha is mainly working on the Streaming API. The most recent additions the to the windowing and state APIs where designed and implemented by him. Aljoscha has spoken at Hadoop Summit, Flink Forward and several meet ups about stream processing and Apache Flink before.

Keynote

A Year in Flink

Ecosystem

Python Streaming Pipelines with Beam on Flink

Suneel-Marthi

Suneel Marthi

Amazon

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Suneel Marthi

Principal Engineer at Amazon

Suneel is a member of Apache Software Foundation and is a PMC member on Apache OpenNLP, Apache Mahout and Apache Streams. He has presented in the past at Hadoop Summit, Apache Big Data, Flink Forward, Berlin Buzzwords, Big Data Tech Warsaw. He is a Principal Engineer at Amazon Web Services.

Use Case

Streaming topic model training and inference with Apache Flink

Caito-Sherr

Caito Scherr

New Relic

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Caito Scherr

Software Engineer at New Relic

Caito is pursuing a Masters in Software Engineering at Harvard University and she love weightlifting, contemporary dance, & terrible puns.

Use Case

Flink Positive/Flinking Positive

VipulSingh

Vipul Singh

Yelp

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Vipul Singh

Software Engineer at Yelp

Vipul Singh is a software engineer at Yelp Inc. He is a part of Distributed Systems Team where he works on developing and maintaining stream processing applications. His current focus is on building data connectors, enabling creation of a data lake from schematized streams, and developing next-gen stream processing infrastructure here at Yelp.

Ecosystem

Running Flink Data-Connectors at Scale

Thomas-Weise

Thomas Weise

Lyft

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Thomas Weise

Software Engineer at Lyft

Thomas is Software Engineer, Streaming Platform at Lyft, working with Apache Flink. Earlier he has been at a number of other technology companies in the San Francisco Bay Area, including DataTorrent, where he was a Co-Founder of the Apex project. Thomas is Apache Apex PMC Chair, committer to Apache Beam and has contributed to several more of the ASF ecosystem projects. He has also presented at international big data conferences and is author of the book “Learning Apache Apex”.

Ecosystem

Python Streaming Pipelines with Beam on Flink

Steven-Wu

Steven Wu

Netflix

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Steven Wu

Senior Software Engineer at Netflix

Steven Wu is a software engineer at Netflix. He is working on real-time data infrastructure that powers massive data ingestion pipeline and stream processing platform. Previously he was working on cloud platform that builds the foundation for Netflix’s cloud-native microservice architecture. He is passionate about building scalable distributed system and empowering people with data.

Technology Deep Dive

Failure is not fatal: what is your recovery story?

Morning
Afternoon
Evening
Day 1Monday, Oct 7
Training
Training
Day 2Tuesday, Oct 8
Keynote Sessions
Breakout sessions and other activities
Flink Fest After Party
Day 3Wednesday, Oct 9
Keynote Sessions
Breakout sessions and other activities

Sponsors

Community Partners