# Agenda

> Agenda for Flink Forward San Francisco 2022 (August 1-4 2022): the sessions, talks and schedule of the Apache Flink® conference.

Source: https://www.flink-forward.org/san-francisco-2022/agenda

Apache Flink® & everything streaming data

**Agenda**

San Francisco 2022

## Schedule

We’re excited to announce that Flink Forward San Francisco 2022 will be taking place August 1-3 2022 for an in-person event.

Kicking off, we start with 2 full days of training sessions for Apache Flink®, followed by the conference. Flink Forward gives you the tools to upskill yourself and immerse you with the Flink ecosystem through: keynotes, technical talks, Flink user cases and many more topics on stream processing and real-time analytics.

## Agenda

### August 1, 2022-08-01

- 09:00–10:30 Apache Flink for Beginners (Matthias Pohl)
- 10:30–11:00 Morning Tea
- 11:00–12:30 Apache Flink for Beginners (Matthias Pohl)
- 11:00–12:30 Intro to Troubleshooting for Flink Developers (Jing Ge, Alex Fedulov)
- 12:30–13:30 Lunch
- 13:30–15:00 Intro to Troubleshooting for Flink Developers (Jing Ge, Alex Fedulov)
- 13:30–15:00 Apache Flink for Beginners (Matthias Pohl)
- 15:00–15:30 Afternoon Tea Break
- 15:30–17:00 Intro to Troubleshooting for Flink Developers (Jing Ge, Alex Fedulov)
- 15:30–17:00 Apache Flink for Beginners (Matthias Pohl)
- 08:00–09:00 Breakfast and Registration
- 09:00–10:30 Intro to Troubleshooting for Flink Developers (Jing Ge, Alex Fedulov)

### August 2, 2022-08-02

- 09:00–10:30 Apache Flink for Beginners (Matthias Pohl)
- 10:30–11:00 Morning Tea
- 11:00–12:30 Apache Flink for Beginners (Matthias Pohl)
- 11:00–12:30 Flink Performance Tuning for Flink Experts (Jing Ge, Alex Fedulov)
- 12:30–13:30 Lunch
- 13:30–15:00 Flink Performance Tuning for Flink Experts (Jing Ge, Alex Fedulov)
- 13:30–15:00 Apache Flink for Beginners (Matthias Pohl)
- 15:00–15:30 Afternoon Tea Break
- 15:30–17:00 Flink Performance Tuning for Flink Experts (Jing Ge, Alex Fedulov)
- 15:30–17:00 Apache Flink for Beginners (Matthias Pohl)
- 08:00–09:00 Breakfast and Registration
- 09:00–10:30 Flink Performance Tuning for Flink Experts (Jing Ge, Alex Fedulov)

### August 3, 2022-08-03

- 08:00–08:30 Breakfast
- 08:30–08:40 Welcome Keynote: When OpenSource meets CloudNative (Yangqing Jia)
- 08:40–09:00 Vision Keynote: One SQL, Unified Analytics (Jing Ge)
- 09:00–09:30 User Keynote: Apache Flink as a security data processing engine at Booking.com (David Ponessa, Pedro Ceriotti)
- 09:30–09:50 Coffee Break
- 09:50–10:30 Real-Time Exactly-Once Ad Event Processing at Uber (Yupeng Fu, Yuriy Bondaruk)
- 09:50–10:30 Autoscaling Flink with Reactive Mode (Robert Metzger)
- 09:50–10:30 Building Reliable Lakehouses with Apache Flink and Delta Lake (Scott Sandre, Denny Lee)
- 09:50–10:30 Flink SQL on Pulsar made easy (Sijie Guo, Neng Lu)
- 10:35–11:15 Practical learnings from running thousands of Flink jobs (Hong Teoh, Usamah Jassat)
- 10:35–11:15 The Current State of Table API in 2022 (David Anderson)
- 10:35–11:15 Introducing the Apache Flink Kubernetes Operator (Thomas Weise)
- 10:35–11:15 Squirreling Away $640 Billion: How Stripe Leverages Flink for Change Data Capture (Jeff Chao)
- 11:20–12:00 Building a fully managed stream processing platform on Flink at scale for LinkedIn (Weiqing Yang, Sonam Mandal, Yixing Zhang)
- 11:20–12:00 Using the New Apache Flink Kubernetes Operator in a Production Deployment (James Busche, Ted Chang)
- 11:20–12:00 Introducing BinarySortedMultiMap - A new Flink state primitive to boost your application performance (Nico Kruber)
- 11:20–12:00 Large Scale Real Time Fraudulent Web Behavior Detection (Jeff Niemann, Randy Hanak)
- 12:05–12:35 Welcome to the Flink Community! (Caito Scherr)
- 12:05–12:35 Where is my bottleneck? Performance troubleshooting in Flink (Piotr Nowojski)
- 12:05–12:35 “Alexa, be quiet!”: End-to-end near-real time model building and evaluation in Amazon Alexa (Aansh Shah)
- 12:05–12:35 Introduce Flink Table Store (Jingsong Li)
- 12:35–13:30 Lunch Break
- 13:30–14:10 Evening out the uneven: dealing with skew in Flink (Jun Qin, Karl Friedrich)
- 13:30–14:10 Batch Processing at Scale with Flink & Iceberg (Andreas Hailu)
- 13:30–14:10 Apache Flink in the Cloud-Native Era (David Moravek)
- 13:30–14:10 How to build a streaming Lakehouse with Flink, Kafka, and Hudi (Ethan Guo, Kyle Weller)
- 14:15–14:55 Changelog Stream Processing with Apache Flink (Timo Walther)
- 14:15–14:55 Tame the small files problem and optimize data layout for streaming ingestion to Iceberg (Gang Ye, Steven Wu)
- 14:15–14:55 Flink powered stream processing platform at Pinterest (Rainie Li, Kanchi Masalia)
- 14:15–14:55 Towards OLAP, Flink Runtime Improvements (Xintong Song)
- 14:55–15:15 Coffee Break
- 15:15–15:45 Using Queryable State for Fun and Profit (Ron Crocker)
- 15:15–15:45 Processing Semantically-Ordered Streams in Financial Services (Patrick Lucas)
- 15:15–15:45 Tuning Apache Kafka Connectors for Flink (Olena Babenko)
- 15:15–15:45 Progress on Flink Fault Tolerance (Yuan Mei)
- 15:50–16:30 The top 3 challenges running multi-tenant Flink at scale (Sharon Xie)
- 15:50–16:30 Exactly-Once Financial Data Processing at Scale with Flink and Pinot (Xiang Zhang, Pratyush Sharma, Xiaoman Dong)
- 15:50–16:30 One sink to rule them all: Introducing the new Async Sink (Steffen Hausmann, Danny Cranmer)
- 15:50–16:30 "Apache Flink is complete.” - is it really? (Johannes Moser)
- 16:35–17:00 Extending Flink SQL for stream processing use cases (Hojjat Jafarpour)
- 16:35–17:00 Dynamic Rule-based Real-time Market Data Alerts (Ajay Vyasapeetam, Madhuri Jain)
- 16:35–17:00 Dynamically Scaling Data Streams across Multiple Kafka Clusters with Zero Flink Job Downtime (Mason Chen)
- 16:35–17:00 Near real-time statistical modeling and anomaly detection using Flink! (Kunal Umrigar, Balint Kurnasz)
- 17:00–17:15 Closing Session
- 17:15–21:00 Flink Fest
- 07:30–08:00 Registration