Flink Forward 2018

Keynotes
What turns stream processing from a tool into a platform? Stephan Ewen, data Artisans
Stream Processing Revolutionizing Big Data Srikanth Satya, Dell EMC
Apache Flink + Apache Beam: Expanding the horizons of Big Data Anand Iyer, Google Cloud

11:00
Powering Yelp’s Data Pipeline Infrastructure with Apache Flink Enrico Canzonieri, Yelp Inc.
Scaling stream data pipelines Flavio Junqueira, Pravega by DellEMC
Building a scalable focused web crawler with Flink Ken Krugler, Scale Unlimited

11:50
Building Flink As a Service platform at Uber Shuyi Chen, Uber
eBay monitoring platform preprocessing and alerting on Flink Garret Li, ebay
Using Flink for balances and controls across platform boundaries Faraz Babar, American Express

12:20
Scaling Flink in Cloud Steven Wu, Netflix
Flink real-time analysis in CloudStream Service of Huawei Cloud Jinkui Shi, Huawei
Why and how to leverage the simplicity and power of SQL on Flink Fabian Hueske, data Artisans

2:00
Optimizations in Blink Runtime for Global Shopping Festival at Alibaba Feng Wang, Alibaba
Bootstrapping State In Apache Flink Gregory Fee, Lyft
Panta Rhei: designing distributed applications with streams Aris Koliopoulos, Drivetribe

2:50
Powering Tensorflor with Big Data (Apache BEAM & Flink) Holden Karau, Google Cloud
Alibaba’s common algorithm platform on Flink Xu Yang, Alibaba
Cloud Native Flink Jowanza Joseph, One Click Retail

3:20
Embedding Flink Throughout an Operationalized Streaming ML Lifecycle Dave Torok, Comcast Corporation
Scaling Uber’s Realtime Optimization with Apache Flink Xingzhong Xu, Uber Technologies Inc.
Operating Flink on Mesos at Scale Jörg Schad, Mesosphere

4:30
Finding Bad Acorns Andrew Gao, Capital One
dA Platform – Production-ready stream processing with Apache Flink Robert Metzger, data Artisans
Real-time monitoring of Mobile Internet Quality of Experience using Flink David Reniz, Everis

5:20
How to build a modern stream processor: The science behind Apache Flink Stefan Richter, data Artisans
Testing Stateful Streaming Applications Seth Wiesman, MediaMath
Extending Flink metrics: Real-time BI atop existing Flink streaming pipelines Andrew Torson, Walmart Labs