- Conference
- Flink Forward Database
- Dates
- Oct 19, 2020 – Oct 22, 2020
- Venue
- —
- Place
- —
- Format
- Online
- Status
- Past
- Attendance
- —
- Website
- flink-forward.org
- Recorded
- 9 sponsors · 67 speaker appearances
- Notes
- Virtual: paid training October 19-20, free conference October 21-22. Talk list from the archive agenda; affiliations from the archive site (may reflect later employers).
Ticket prices
No ticket prices recorded
Sponsors 9
Community 5
- Apache Software Foundation · Community Partners
- Beam Summit Europe · Community Partners
- Data Council · Community Partners
- OSCA · Community Partners
- Women Who Code · Community Partners
Media 1
- Manning · Media Partner
Other 3
- Alibaba Cloud · Sponsors
- Amazon Web Services · Sponsors
- Splunk · Sponsors
Speakers and talks 67
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Konstantin Knauf | Ververica | Keynote | Flink Ahead 2.0: The Sequel | — |
| Peter Chalif | Citi | Keynote | Flink First: Designing Modern Trading Systems | — |
| Renu Tewari | Keynote | Stream Processing at Linkedin: Then and Now | — | |
| Ricky Saltzer | Epic Games | Keynote | Real-Time Metrics at Fortnite Scale | — |
| Stephan Ewen | Ververica | Keynote | Flink Ahead: What Comes After Unified Batch & Streaming? | — |
| Xiaowei Jiang | Alibaba Cloud | Keynote | Data Warehouse, Data Lakes, What's Next? | — |
| Addison Higham | StreamNative | Speaker | Flink + Pulsar: The Path To Unified Batch and Streaming | — |
| Ajit Koti | Netflix | Speaker | Tale of Stateful Stream to Stream Processing | — |
| Alberto Romero | Humn.ai | Speaker | Sampling and Modelling the World in Real-Time for Mobility | — |
| Aljoscha Krettek | Ververica | Speaker | Unified APIs for Batch and Stream Processing on Flink | — |
| Andrey Zagrebin | Ververica | Speaker | Flink's New Dockerfile: One File to Rule Them All | — |
| Arti Pande | Thoughtworks | Speaker | A journey of scaling high-volume low-latency stateful processing | — |
| Austin Cawley-Edwards | FinTech Studios | Speaker | Getting Started with Flink for Small Teams w/ RabbitMQ and Kubernetes | — |
| Balazs Varga | Cloudera | Speaker | End-to-end Flink SQL with Schema Registry, Kafka & Kudu | — |
| Caito Scherr | Ververica | Speaker | Flink in the Beam World | — |
| Chen Qin | Speaker | Growing a managed Flink streaming platform from scratch | — | |
| Chethan U | Rapido | Speaker | Real-Time ML Applications at Scale with Flink and Beam on Kubernetes and GCP | — |
| Chinmay Soman | Uber | Speaker | Powering OLAP at Uber using Apache Flink | — |
| David Massart | D.E.Solution | Speaker | Metamodelization and Automatic Generation of ML Pipelines | — |
| Dmitry Voronov | Microsoft | Speaker | Load Imbalance | — |
| Dongjie Shi | Intel | Speaker | Cluster Serving: Distributed Model Inference using Apache Flink in Analytics Zoo | — |
| Enrico Agnoli | Workday | Speaker | Flink @WORKDAY: scaling of ingestion data pipelines to S3 | — |
| Fabian Hueske | Ververica | Speaker | Production-Ready Streaming SQL with Ververica Platform | — |
| Fabian Paul | Ververica | Speaker | Towards a Flink Autopilot in Ververica Platform | — |
| Filipe Regadas | Spotify | Speaker | Data processing at Spotify - Why portability matters | — |
| Gaël Renoux | DataDome | Speaker | Handling frequent changes in state structure | — |
| Girish Baliga | Uber | Speaker | Powering OLAP at Uber using Apache Flink | — |
| Gyula Fora | Cloudera | Speaker | End-to-end Flink SQL with Schema Registry, Kafka & Kudu | — |
| Hari Rajaram | Amazon Web Services | Speaker | Enriching your Data Stream Asynchronously with Apache Flink | — |
| Jaehyeuk Oh | Hyperconnect | Speaker | On-demand low-latency feature generation at Hyperconnect | — |
| Jark Wu | Alibaba Cloud | Speaker | Change Data Capture and Processing with Flink SQL | — |
| Jeongmin Kim | Hyperconnect | Speaker | On-demand low-latency feature generation at Hyperconnect | — |
| Jeremy Ber | Amazon Web Services | Speaker | Enriching your Data Stream Asynchronously with Apache Flink | — |
| Jiaming Song | Intel | Speaker | Cluster Serving: Distributed Model Inference using Apache Flink in Analytics Zoo | — |
| Jingsong Li | Alibaba Cloud | Speaker | Flink SQL: Unified Streaming and batch for hive integration | — |
| Julien Tournay | Spotify | Speaker | Data processing at Spotify - Why portability matters | — |
| Kelly Smith | Zillow | Speaker | How We're Democratizing Stream Processing at Zillow | — |
| Krzysztof Zarzycki | GetInData | Speaker | CEP platform handling millions of users - lessons from 3 years in production | — |
| Lakshmi Rao | Lyft | Speaker | Zero-downtime upgrades of Flink applications | — |
| Lasse Nedergaard | XCI | Speaker | Alert detection in IoT using broadcast state. | — |
| Lawrence Benson | Hasso Plattner Institute | Speaker | Disco: Efficient Distributed Window Aggregation | — |
| Leire Fernandez de Retana Roitegui | Workday | Speaker | Flink @WORKDAY: scaling of ingestion data pipelines to S3 | — |
| Manuela Wei | Intuit | Speaker | Building a Self-Serve Stream Processing Platform with Flink | — |
| Marta Paes | Ververica | Speaker | Building an End-to-End Analytics Pipeline with PyFlink | — |
| Menglei Sun | Houzz | Speaker | Flink powers Houzz near-realtime pipeline & Kubernetes logging observability | — |
| Michal Ciesielczyk | Deep.BI | Speaker | Using Flink for Versatile Feature Engineering Pipelines | — |
| Muhammad Haseeb Asif | RISE/KTH | Speaker | FlinkNDB : Skyrocketing Stateful Capabilities of Apache Flink | — |
| Nick Hwang | Intuit | Speaker | Building a Self-Serve Stream Processing Platform with Flink | — |
| Nico Kruber | Ververica | Speaker | A Year in Flink - Flink SQL Live Coding | — |
| Niels Basjes | bol.com | Speaker | When your stream doesn't stream very well. | — |
| Ping Zou | Intuit | Speaker | Building a Self-Serve Stream Processing Platform with Flink | — |
| Pradeep Nethagani | Yelp | Speaker | Realtime bot detection with Flink | — |
| Qingsheng Ren | Alibaba Cloud | Speaker | Change Data Capture and Processing with Flink SQL | — |
| Rui Li | Alibaba Cloud | Speaker | Flink SQL: Unified Streaming and batch for hive integration | — |
| Seth Wiesman | Ververica | Speaker | Hands-on Stateful Serverless Applications with Kubernetes and Stateful Functions | — |
| Seth Wiesman | Ververica | Speaker | Interview and Ask Me Anything with the creators of Stateful Functions | — |
| Seth Wiesman | Ververica | Speaker | Interactive Session - Live Code Contribution to Apache Flink | — |
| Shahid Chohan | Stripe | Speaker | Streaming, Fast and Slow: Mitigating Watermark Skew in Large, Stateful Jobs | — |
| Shashank Agarwal | Razorpay | Speaker | Data science at scale using Apache Flink : Dynamic model serving and real-time feature generation | — |
| Simba Khadder | StreamSQL | Speaker | Feature Stores: Powering Machine Learning Infrastructure with Apache Flink | — |
| Sruthi Sree Kumar | RISE/KTH | Speaker | FlinkNDB : Skyrocketing Stateful Capabilities of Apache Flink | — |
| Stephan Ewen | Ververica | Speaker | Interview and Ask Me Anything with the creators of Stateful Functions | — |
| Till Rohrmann | Ververica | Speaker | News from Flink’s engine room: “Full steam ahead” | — |
| Timothy Spann | Cloudera | Speaker | Using the Mm FLaNK Stack for Edge AI (Flink, NiFi, Kafka, Kudu) | — |
| Venkata Sanath Muppalla | Uber | Speaker | Building Unified Streaming Platform at Uber | — |
| Xuannan Su | Alibaba Cloud | Speaker | Introducing Tensorflow on Flink | — |
| Zhenqiu Huang | Apple | Speaker | Building Unified Streaming Platform at Uber | — |