Flink Forward 2018

About Flink Forward 2018

  • 09-10 Abril 2018
  • Organized by dataArtisans

THE VILLAGE
969 Market Street
San Francisco, CA

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