Conferences / Flink Forward
Flink Forward Seattle 2023
Nov 6–8, 2023 · Hyatt Regency Lake Washington, Renton, WA, United States
- Conference
- Flink Forward Database
- Dates
- Nov 6, 2023 – Nov 8, 2023
- Venue
- Hyatt Regency Lake Washington
- Place
- Renton, WA, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- flink-forward.org
- Recorded
- 9 sponsors · 70 speaker appearances
- Notes
- Training November 6-7, conference November 8. Venue is at Seattle's Southport (Renton, WA). Full talk list from the archive agenda; affiliations from the contemporaneous speakers page (Sep 2023 snapshot) where available. Sponsors listed without tiers. Recordings: Ververica Academy. Early-bird tickets were advertised but prices not captured.
Ticket prices
No ticket prices recorded
Sponsors 9
Other 9
- Amazon Web Services · Sponsors & Partners
- Cloudera · Sponsors & Partners
- Decodable · Sponsors & Partners
- DeltaStream · Sponsors & Partners
- Hazelcast · Sponsors & Partners
- Hopsworks · Sponsors & Partners
- IBM · Sponsors & Partners
- Nussknacker · Sponsors & Partners
- StreamNative · Sponsors & Partners
Speakers and talks 70
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Alexander Walden | Ververica | Keynote | Quo Vadis Stream Processing? Dude, where is this streaming to? | — |
| Becket Qin | Keynote | The Vision and Practice of Stream and Batch Unification - LinkedIn's Story | — | |
| Carolyn Duby | Cloudera | Keynote | Sponsor demo - Cloudera | — |
| Fawaz Ghali | Hazelcast | Keynote | Sponsor demo - Hazelcast | — |
| Gunnar Morling | Decodable | Keynote | Embracing the Ubiquity of Data | — |
| Jing Ge | Ververica | Keynote | Flink Unveiled - Journeying from DataStream to Streamhouse | — |
| Karel Alfonso Sague | Block | Keynote | Riding the Streams: Powering Stream Processing at Cash App with Ververica | — |
| Rashmi Shamsundar | Block | Keynote | Riding the Streams: Powering Stream Processing at Cash App with Ververica | — |
| Aleksei Statkevich | TikTok | Speaker | BitSail - high performance open source data transfer framework at ByteDance | — |
| Alex Thomas | VMware | Speaker | Flink Alert Processing to Address Alert Fatigue in Cybersecurity | — |
| Alexey Novakov | Ververica | Speaker | State of Scala API in Apache Flink | — |
| Ali Zeybek | Ververica | Speaker | (Periodically) Make The Most Out Of Your Task Slots! | — |
| Allen Wang | DoorDash | Speaker | Building Scalable Data Lakehouse Integrations with Flink | — |
| Allison Cheng | DoorDash | Speaker | Building Scalable Data Lakehouse Integrations with Flink | — |
| Anjali Mangal | VMware | Speaker | Flink Alert Processing to Address Alert Fatigue in Cybersecurity | — |
| Asimansu Bera | Ververica | Speaker | Apache Flink Memory model Explained | — |
| Basar Hamdi Onat | DoorDash | Speaker | Real-Time Metrics Platform leveraging Flink SQL At DoorDash | — |
| Ben Augarten | Stripe | Speaker | Flink Change Safety: A Multi-Layered Approach | — |
| Da Huo | Bloomberg | Speaker | From zero to hundred thousand in half second - Optimizing Apache Flink Applications to Run Faster | — |
| Dan Vinakovsky | Schonfeld | Speaker | Flink and Kafka: Powering Market Trade Aggregation at Schonfeld | — |
| Danny Cranmer | Amazon Web Services | Speaker | Connectors 101: Let’s explore the connector ecosystem! | — |
| David Kjerrumgaard | StreamNative | Speaker | Unifying the Power of Real-Time: Building an Integrated Data Streaming Platform with Apache Pulsar and Apache Flink | — |
| Divye Kapoor | Speaker | Tuning Flink Clusters for Stability and Efficiency | — | |
| Erik de Nooij | ING | Speaker | Model inference in Flink SQL using a custom HTTP connector | — |
| Gunnar Morling | Decodable | Speaker | Debezium Snapshots Revisited! | — |
| Guowei Ma | Alibaba Cloud | Speaker | An introduction to stream-batch unified operator and coordinated mini-batch | — |
| Gyula Fora | Apple | Speaker | Flink on Autopilot: How We Learned to Stop Worrying and Love the Autoscaling | — |
| Haizhou Zhao | Apple | Speaker | Iceberg Catalog as a service | — |
| Heng Zhang | Speaker | Next generation DB ingestion at Pinterest | — | |
| Hong Teoh | Amazon Web Services | Speaker | Connectors 101: Let’s explore the connector ecosystem! | — |
| Hongyue Zhang | Apple | Speaker | Iceberg Catalog as a service | — |
| Hunter Medney | IBM | Speaker | Real-time marketing segmentation and product journey computation at “business scale” | — |
| Jark Wu | Alibaba Cloud | Speaker | Flink SQL: the Challenges of Implementing an Modern Streaming SQL Engine | — |
| Jasmin Soltani | Bloomberg | Speaker | From zero to hundred thousand in half second - Optimizing Apache Flink Applications to Run Faster | — |
| Jaydeep Karia | Bloomberg | Speaker | Finetuning checkpoint setup to achieve low end-to-end latency for a job with large state | — |
| Jeremy Ber | Amazon Web Services | Speaker | Nuts and Bolts: Troubleshoot your Apache Flink performance bottlenecks | — |
| Jerome Gagnon | Wealthsimple | Speaker | Enhancing Flink Streaming Applications: Synchronous API for Financial Risk Mitigation | — |
| Jingsong Li | Alibaba Cloud | Speaker | Apache Flink + Paimon: CDC data into the lake in near real-time | — |
| Jun Qin | Ververica | Speaker | Multi-Year Experience in Exactly-Once Stream Processing in Apache Flink with Kafka | — |
| Konstantin Gizdarski | Lyft | Speaker | Real-Time Machine Learning at Scale with Flink at Lyft | — |
| Krzysztof Zarzycki | GetInData | Speaker | Building a Scalable SQL-Based Streaming Analytics Platform with Apache Flink, Kafka, dbt | — |
| Liang Mou | Speaker | Next generation DB ingestion at Pinterest | — | |
| Marton Balassi | Apple | Speaker | Self-service ingestion pipelines with evolving schema via Flink and Iceberg | — |
| Maximilian Michels | Apple | Speaker | Flink on Autopilot: How We Learned to Stop Worrying and Love the Autoscaling | — |
| Nadine Farah | Onehouse | Speaker | Consistently Hashing it Out: Embracing Fresher, Faster Data with the Hudi-Flink Support for the Bucket Index | — |
| Nagesh Honnalli | Amazon Managed Service | Speaker | Nuts and Bolts: Troubleshoot your Apache Flink performance bottlenecks | — |
| Niharika Sakuru | Bloomberg | Speaker | Storm to Flink: Migrating Latency Sensitive Real-Time Streaming Applications with Zero Downtime | — |
| Panagiotis Garefalakis | Confluent | Speaker | Flink’s Pluggable Failure Handling: deal with streaming errors the smart way! | — |
| Pradyot Patil | ING | Speaker | Model inference in Flink SQL using a custom HTTP connector | — |
| Rajasekhar Konda | Apple | Speaker | Iceberg Catalog as a service | — |
| Ramkrishna Vasudevan | Microsoft | Speaker | Squirrelling on Azure with Flink & Kubernetes | — |
| Sairam Yeturi | Microsoft | Speaker | Squirrelling on Azure with Flink & Kubernetes | — |
| Sergey Nuyanzin | Aiven | Speaker | On a mission of improving the Apache Calcite and Apache Flink integration | — |
| Sergio Chong Loo | Apple | Speaker | Streaming from Iceberg with Flink: An Apple Maps Journey | — |
| Seth Saperstein | Lyft | Speaker | Real-Time Machine Learning at Scale with Flink at Lyft | — |
| Shahid Chohan | Stripe | Speaker | Flink Change Safety: A Multi-Layered Approach | — |
| Sharon Xie | Decodable | Speaker | Kubernetes-like Reconciliation Protocol for Managed Flink Services | — |
| Spurthi Chaganti | Apple | Speaker | Self-service ingestion pipelines with evolving schema via Flink and Iceberg | — |
| Stephane Mery | IBM | Speaker | Flink for All: Scaling Event-Driven Benefits across the Business | — |
| Taruj Goyal | VMware | Speaker | Flink Alert Processing to Address Alert Fatigue in Cybersecurity | — |
| Tejas Budukh | VMware | Speaker | Flink Alert Processing to Address Alert Fatigue in Cybersecurity | — |
| Todd McGrath | Amazon Web Services | Speaker | Stream Processing in AWS by Example | — |
| Tzu-Li (Gordon) Tai | Confluent | Speaker | Exactly-Once Semantics Revisited: Distributed Transactions across Flink and Kafka | — |
| Varun Sayal | Bloomberg | Speaker | From zero to hundred thousand in half second - Optimizing Apache Flink Applications to Run Faster | — |
| Vignesh Raja | Speaker | Protecting Reddit users at scale with Flink Stateful Functions | — | |
| Vikas Mallapura | Datadog | Speaker | Implementing and validating an exactly-once file sink in Azure | — |
| Weiqing Yang | Speaker | Powering Stateful Applications with Managed Flink SQL Platform at LinkedIn | — | |
| Xintong Song | Alibaba Cloud | Speaker | Apache Flink 2.0 Preview | — |
| Yuan Mei | Alibaba Cloud | Speaker | Disaggregated State Management in Apache Flink 2.0 | — |
| Zhu Zhu | Alibaba Cloud | Speaker | Improvements for Flink batch job execution | — |
Sources
- https://www.flink-forward.org/seattle-2023
- https://www.flink-forward.org/seattle-2023/agenda
- https://www.flink-forward.org/seattle-2023/venue
- https://www.flink-forward.org/seattle-2023/sponsors
- https://web.archive.org/web/20230925223913/https://www.flink-forward.org/seattle-2023/sponsors
- https://web.archive.org/web/20230925224002/https://www.flink-forward.org/seattle-2023/speakers
- https://web.archive.org/web/20230610070854/https://www.flink-forward.org/seattle-2023/register