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Conferences / Flink Forward

Flink Forward Berlin 2024

Oct 21–24, 2024 · Gasometer Schöneberg (EUREF-Campus), Berlin, Germany

Conference
Flink Forward Database
Dates
Oct 21, 2024 – Oct 24, 2024
Venue
Gasometer Schöneberg (EUREF-Campus)
Place
Berlin, Germany
Format
In person
Status
Past
Attendance
—
Website
flink-forward.org
Recorded
6 sponsors · 90 speaker appearances
Notes
Training October 21-22 (bootcamp and masterclasses), conference October 23-24; Apache Flink 10-year anniversary. Full talk list from the archive agenda; affiliations from the archive site (may reflect later employers). Sponsors listed without tiers. Tickets sold via a JS shop; prices not captured.

Ticket prices

No ticket prices recorded

Sponsors 6

Other 6

Speakers and talks 90

SpeakerCompanyRoleTalkLinks
Ahmed Hamdy—TrainerFlink SQL Origins and Future: Insights from the Original Creator—
Alex BalfurDatoriosSpeakerVisually Diagnosing Operator State Problems—
Alexey NovakovVervericaTrainerBridging Data Silos with Flink CDC—
Ali AlemiAmazon Web ServicesSpeakerLow latency Change Data Capture (CDC) to your data lake, using Apache Flink and Apache Paimon—
Alireza MoosaviSALTOSpeakerReal-Time Incident Monitoring for Smart Access Devices: An IoT Use Case—
Alper BasaranSALTOSpeakerReal-Time Incident Monitoring for Smart Access Devices: An IoT Use Case—
Andrea FontiAgile LabSpeakerFlink at Intesa Sanpaolo: Streamlining Customer Data Integration with Change Data Capture—
Antón RodríguezNew RelicSpeakerCost-Effective Streaming Pipelines with Apache Paimon—
Aratz Manterola LasaWarpStreamSpeakerZero Interference and Resource Congestion in Flink Clusters with Kafka Data Sources—
Ben AugartenStripeSpeakerScaling Flink in the Real World: Insights from Running Flink for five Years at Stripe—
Ben GambleVervericaTrainerApache Flink: From Data to Intelligence—
Ben GambleVervericaPanelistAI and Apache Flink: Expert Panel—
Ben GambleVervericaSpeakerVERA: The Engine Revolutionizing Apache Flink—
Chen QinPinterestSpeakerCustomize Flink for Pinterest User Cases at Scale—
Christos Anagnostakis—SpeakerDriving the Future: Leveraging Apache Pulsar and Flink for Real-Time Vehicle Profile Management—
Colten PilgreenDatoriosSpeakerThe Lineage Flink Really Needs: Debugging Real-Time Policy Violations—
Colten PilgreenDatoriosSpeakerVisually Diagnosing Operator State Problems—
David AndersonConfluentPanelistAI and Apache Flink: Expert Panel—
Dominik Žnidaršič—SpeakerReal-Time, Real Simple: Getting Started with Flink CDC—
Dunith DhanushkaRedpandaSpeakerTransforming Your APIs Into Business Gold – Architecting a Real-Time API Usage Analytics Platform—
Duy Canh TranGrabSpeakerLeveraging ML Forecast Models for Predictive Resource Provisioning in Flink Applications—
Ejas KhanMercedes-BenzSpeakerImplementing Event Tracing in Flink Applications—
Eric XiaoDecodableSpeakerComparing Apache Flink and Spark for Modern Stream Data Processing—
Flaviu CicioAcosomSpeakerTesting Flink SQL Scripts: Simplifying Development for Non-Developers—
Fulvio PascottoIntesa SanpaoloSpeakerIntesa Sanpaolo’s Journey to Cloud – is Batch processing still relevant?—
Giannis PolyzosVervericaTrainerEvolving to a Streaming Lakehouse with Apache Flink—
Giannis PolyzosVervericaSpeakerAutomate Apache Flink Tuning for Highly Elastic Scaling—
Gunnar MorlingDecodablePanelistAI and Apache Flink: Expert Panel—
Hans-Peter GrahslDecodableSpeakerVector Database Ingestion with PyFlink on Decodable—
Hao LiConfluentSpeakerData-centric AI with Flink SQL—
Ioannis StavrakantonakisVervericaSpeakerAutomate Apache Flink Tuning for Highly Elastic Scaling—
Jark WuAlibaba CloudSpeakerIs Kafka the Best Storage for Streaming Analytics?—
Jeyhun KarimovDFKI GmbHTrainerFlink SQL Origins and Future: Insights from the Original Creator—
Jingsong LiAlibaba CloudSpeakerApache Paimon + Flink: Build Streaming Pipeline on Lakehouse—
Jingsong LiAlibaba CloudTrainerEvolving to a Streaming Lakehouse with Apache Flink—
JinYun SooBloombergSpeaker‘State’ the obvious: Using Apache Flink’s State Processor API to deal with nutty issues—
Jun QinVervericaTrainerApache Flink: From Data to Intelligence—
Karin LandersVervericaPanelistAI and Apache Flink: Expert Panel—
Karin LandersVervericaSpeakerVERA: The Engine Revolutionizing Apache Flink—
Ken Krugler—TrainerWrap-up & Next Steps—
Ken Krugler—TrainerFlink SQL & Table API—
Ken Krugler—TrainerEnrichment and Scalability—
Ken Krugler—TrainerExactly-Once and Failure Handling—
Ken Krugler—TrainerReal-Time Stream Analytics - Part One—
Ken Krugler—TrainerOptimizing In-Flight and Stateful Data—
Ken Krugler—TrainerWorkflow Design & Paimon—
Ken Krugler—TrainerReal-Time Stream Analytics - Part Two—
Ken Krugler—TrainerEnrichment and Scalability - Lab—
Leonard XuAlibaba CloudSpeakerExploring Scenarios of Flink CDC in Streaming Data Integration—
Leonard XuAlibaba CloudTrainerBridging Data Silos with Flink CDC—
Lincoln LeeAlibaba CloudTrainerFlink SQL Origins and Future: Insights from the Original Creator—
Lincoln LeeAlibaba CloudSpeakerMaterialized Table - Making Your Data Pipeline Easier—
Lorenzo AffettiVervericaTrainerFlink SQL Origins and Future: Insights from the Original Creator—
Lu NiuPinterestSpeakerCustomize Flink for Pinterest User Cases at Scale—
Maciej BryńskiCledarSpeakerFlink Is All You Need (for Digital Bank)—
Maximilian MichelsAppleSpeakerFlink Autoscaling: A Year in Review - Performance, Challenges, and Innovations—
Mayank JunejaConfluentSpeakerData-centric AI with Flink SQL—
Medi van BroekhovenSALTOSpeakerReal-Time Incident Monitoring for Smart Access Devices: An IoT Use Case—
Mike GualtieriForresterSpeakerThe Zeitgeist of AI Requires Streaming Data Platforms—
Mike GualtieriForresterPanelistAI and Apache Flink: Expert Panel—
Mohsin NiaziMarshall WaceSpeakerBuilding a Streaming-First Platform: Tools and Lessons from Our Flink Migration Journey—
Muhammet OrazovVervericaTrainerBridging Data Silos with Flink CDC—
Ng Shi KaiGrabSpeakerLeveraging ML Forecast Models for Predictive Resource Provisioning in Flink Applications—
Nhat NguyenGrabSpeakerLeveraging ML Forecast Models for Predictive Resource Provisioning in Flink Applications—
Oleksii PominovskyiUniperSpeakerFlink for Energy and Commodities trading business—
Pawel LeszczynskiAstronomerSpeakerData Lineage for Apache Flink with OpenLineage—
Pedro MázalaEvouraSpeakerFlink & Metered Billing - a reprocessing story—
Pratyush SharmaStripeSpeakerScaling Flink in the Real World: Insights from Running Flink for five Years at Stripe—
Raffaele SagginoIntesa SanpaoloSpeakerIntesa Sanpaolo’s Journey to Cloud – is Batch processing still relevant?—
Ramesh MotaparthyNew RelicSpeakerCost-Effective Streaming Pipelines with Apache Paimon—
Robin FehrAcosomSpeakerTesting Flink SQL Scripts: Simplifying Development for Non-Developers—
Robin StephensonMarshall WaceSpeakerBuilding a Streaming-First Platform: Tools and Lessons from Our Flink Migration Journey—
Roee HassonDockTechSpeakerStreaming Up the River: Leveraging Flink to Prevent Ship Groundings in Rivers and Ports—
Rozarta CakaIntesa SanpaoloSpeakerFlink at Intesa Sanpaolo: Streamlining Customer Data Integration with Change Data Capture—
Sai Sharath DandiUberSpeakerStreamlining Real-Time Data Processing at Uber with Protobuf Integration—
Samuel von BaussnernD ONESpeakerFrom the Pitch to the Pub - Lessons Learned from Distributing Streaming Data in the Sports Industry—
Shai SomekhDatoriosSpeakerThe Lineage Flink Really Needs: Debugging Real-Time Policy Violations—
Sharon XieDecodableSpeakerComparing Apache Flink and Spark for Modern Stream Data Processing—
Sijie GuoStreamNativeSpeakerDriving the Future: Leveraging Apache Pulsar and Flink for Real-Time Vehicle Profile Management—
Steffen HoellingerAirySpeakerBuilding Copilots with Flink SQL, LLMs and vector databases—
Stephan EwenVervericaSpeakerFrom Apache Flink to Restate - Event processing for analytics and Transactions—
Subham RakshitAmazon Web ServicesSpeakerLow latency Change Data Capture (CDC) to your data lake, using Apache Flink and Apache Paimon—
Sudha RamrajUniperSpeakerFlink for Energy and Commodities trading business—
Tucker HarveyPinterestSpeakerCustomize Flink for Pinterest User Cases at Scale—
Xingcan CuiPromoted.aiSpeakerUnleashing Potential: Promoted.ai's Complete Adoption of Apache Flink—
Xintong SongAlibaba CloudSpeakerSpoiler Alert: Revealing the Secrets of Apache Flink 2.0—
Xintong SongAlibaba CloudTrainerApache Flink: From Data to Intelligence—
Yang YangUberSpeakerStreamlining Real-Time Data Processing at Uber with Protobuf Integration—
Yuan MeiEngineeringSpeakerEnabling Flink's Cloud-Native Future: Introducing ForSt DB in Flink 2.0—
Zhenqiu HuangAppleSpeakerData Lineage for Apache Flink with OpenLineage—

Sources