# Agenda

> Agenda for Flink Forward Virtual 2020 (April 22-24 2020): the sessions, talks and schedule of the Apache Flink® conference.

Source: https://www.flink-forward.org/virtual-2020/agenda

**Virtual 2020 Agenda**

## Schedule

Virtual Flink Forward 2020 is happening on April 22-24 with three days of keynotes and technical talks featuring Apache Flink® use cases, internals, growth of the Flink ecosystem, and many more topics on stream processing and real-time analytics.

The schedule on April 22-23 is displayed in Pacific Daylight Time (PDT).

The conference starts at 17:30 in Central Europe (UTC+2) and 23:30 in Mainland China (UTC+8).

## Agenda

### April 22, 2020-04-22

- 08:30–09:20 Keynote: Introducing Stateful Functions 2.0: Stream Processing meets Serverless Applications (Stephan Ewen)
- 09:20–09:40 Keynote: The Easiest Way to Get Operational With Apache Flink (Konstantin Knauf)
- 09:50–10:30 Keynote: Apache Flink - Completing Cloudera’s End to End Streaming Platform (Marton Balassi, Joe Witt)
- 10:40–11:20 Everything is connected: How watermarking, scaling, and exactly once impact one another in Pravega (Flavio Paiva Junqueira, Tom Kaitchuck)
- 10:40–11:20 Netflix Data Mesh: Composable Data Processing (Justin Cunningham)
- 10:40–11:20 Real time identity graph (Fakrudeen Ali Ahmed)
- 10:40–11:20 Apache Flink in Production with Ververica Platform (Seth Wiesman)
- 10:40–11:20 Managing Real-time Data Teams (Jesse Anderson)
- 11:30–11:50 Reliable, Real-Time AI with the Ververica Platform + a Kubernetes Operator in a Growing Startup (Austin Cawley-Edwards)
- 11:30–11:50 Needle in the Haystack - Monitoring health of a huge Kafka fleet with Flink (Tirtha Chatterjee)
- 11:30–11:50 Tuning Flink Filesystem Plugins for State Persistence (Scott Kidder)
- 11:30–11:50 Flink acceptance testing and state compatibility checking (Catlyn Kong)
- 11:30–11:50 Cogynt: Flink without code (Samantha Chan, Aslam Tajwala)
- 12:00–12:40 Writing an interactive streaming SQL and materialized view engine using Flink (Kenny Gorman)
- 12:00–12:40 Large-scale near-real-time (NRT) data analytics platform empowered by Apache Flink (Ying Xu, Kailash Hassan Dayanand)
- 12:00–12:40 Flink SQL in 2020: Time to show off! (Fabian Hueske, Timo Walther)
- 12:00–12:40 Autoscaling Flink at Netflix (Timothy Farkas)
- 12:00–12:40 Customizing exactly-once processing at scale with Flink (Andrew Torson)

### April 23, 2020-04-23

- 08:30–09:10 Keynote: The Evolution of Data Infrastructure at Splunk (Eric Sammer)
- 09:20–10:00 Keynote: Stream analytics made real with Pravega and Apache Flink (Srikanth Satya)
- 10:10–10:50 Production-Ready Flink and Hive Integration - what story you can tell now? (Bowen Li)
- 10:10–10:50 High-Quality Performant and Cost Efficient Schema-Aware Data Streams on Flink at Netflix Scale (Jagannathrao Mudda, Ramayan Tiwari)
- 10:10–10:50 Lessons learned on Apache Flink application availability in a hosted Apache Flink service (Hwanju Kim, Praveen Gattu)
- 10:10–10:50 Apache Flink Worst Practices (Konstantin Knauf)
- 11:00–11:40 Geospatial Situation Detection through FlinkCEP @Uber (Teng (Niel) Hu)
- 11:00–11:40 Data Warehouse, Data Lakes, What's Next? (Xiaowei Jiang)
- 11:00–11:40 Stateful Functions: Polyglot Event-Driven Functions for Stateful Distributed Applications (Tzu-Li (Gordon) Tai)
- 11:00–11:40 Energize Multi-tenancy Flink on K8s with YuniKorn (Weiwei Yang, Wilfred Spiegelenburg)
- 11:50–12:10 Building Stateful Streaming Pipelines (Ankit Jhalaria)
- 11:50–12:10 Building FeatureFlow, Criteo’s feature data generation platform (Piyush Narang)
- 11:50–12:10 Building metric platform using Flink for massive scale at Netflix (Abhay Amin)
- 11:50–12:10 Equality and inclusion as a way of developing diverse, resilient, and more relevant OSS (Griselda Cuevas, Markos Sfikas)
- 12:20–13:00 Distributed Processing for Machine Learning Production Pipelines (Ahmet Altay, Reza Rokni, Robert Crowe)
- 12:20–13:00 Build your next-generation stream platform based on Apache Pulsar (Neng Lu)
- 12:20–13:00 State Unlocked (Seth Wiesman, Tzu-Li (Gordon) Tai)
- 12:20–13:00 How Lyft built a streaming data platform with Flink on Kubernetes (Micah Wylde)

### April 24, 2020-04-24

- 09:00–09:40 AI made easy with Flink + AIFlow (Becket Qin)
- 09:00–09:40 A deep dive into Flink SQL (Kurt Young, Jark Wu)
- 09:00–09:40 Testing production streaming applications (Gyula Fora, Matyas Orhidi)
- 09:00–09:40 Rethinking of fault tolerance in Flink: what lies ahead? (Piotr Nowojski, Yuan Mei)
- 09:50–10:10 Data driven matchmaking streaming at Hyperconnect (Jaehyeuk Oh, Gihoon Yeom)
- 09:50–10:10 Machine learning with Flink in Weibo (Yu Qian)
- 09:50–10:10 Extend Flink to edge computing with much lower footprint (Youjun Yuan)
- 10:20–11:00 Integrate Flink with Kubernetes natively (Yang Wang)
- 10:20–11:00 It’s finally here: Python on Flink & Flink on Zeppelin (Jincheng Sun, Jeff Zhang)
- 10:20–11:00 How Streaming Helps Your Staging Environment and Sandboxes Stay Up To Date (Mike Solomon)