~/conference

Flink Forward Global Virtual 2020

date:2020-10-19..2020-10-22
location:-- online --
series:Flink Forward Global Virtual · one edition
titleauthorlength
Keynote | Flink Ahead: What Comes After Unified Batch & Streaming?Stephan Ewen37m
Flink claims unified batch/streaming now handles petabytes per day with SQL, and community releases cut TPC-DS (10 TB on 20 machines) runtimes by about 3x…
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Keynote | Flink Ahead 2.0: The SequelKonstantin Knauf34m
Flink SQL powers continuous materialized views and Ververica Platform 2.3 ships an integrated editor, catalog, and autopilot for horizontal scaling. Live demos…
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Keynote | Flink First: Designing Modern Trading SystemsPeter Chalif37m
A Flink-first trading platform replaces a decades-old patchwork of tools with a unified stream backbone so every component is a Flink job, handling roughly 8…
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Keynote | Real-Time Metrics at Fortnite ScaleRicky Saltzer28m
Metrics Royale extracts and aggregates arbitrary JSON fields with Apache Flink and Kafka, persisting partial two‑second aggregates into FoundationDB so…
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Keynote | Data Warehouse, Data Lakes, What's Next?Xiaowei Jiang38m
Proposal: a unified HSAP storage called Hologres stores row and column formats, exposes Postgres-compatible SQL, and couples with Flink for realtime dimension…
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Keynote | Stream Processing at LinkedIn: Then and NowRenu Tewari35m
LinkedIn runs stateful stream processing at massive scale: Kafka ingests over 11 trillion incoming messages per day and stream jobs process over 4 trillion…
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Unified APIs for Batch and Stream Processing on FlinkAljoscha Krettek31m
Flink adds a new execution.runtime.mode toggle (streaming / batch / automatic) and modernizes time semantics so event time is the default and watermarks jump…
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Cluster Serving: Distributed Model Inference using Apache Flink in Analytics ZooDongjie Shi, Jiaming Song18m
Cluster Serving runs on Apache Flink via Analytics Zoo and provides automatic distributed serving for TensorFlow, PyTorch, Caffe, BigDL and OpenVINO models…
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Building a Self-Serve Stream Processing Platform with FlinkManuela Wei, Ping Zou, Nick Hwang36m
Intuit builds a self-serve platform that wires Beam and Flink to Argo and Kubernetes, auto-provisions GitHub/Jenkins/artifactory for each processor, and…
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Flink SQL: Unified Streaming and batch for hive integrationJingsong Lee, Rui Li36m
Flink 1.11 adds Hive metastore integration so Kafka-streamed tables persist to HDFS-backed Hive tables with exactly-once guarantees via the streaming file sink…
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Real-Time ML Applications at Scale with Flink and Beam on Kubernetes and GCPChethan U58m
Rapido runs a production streaming platform that uses Flink on GKE to make near‑real‑time dispatch and ML scoring decisions, integrating Presto for analytics…
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Handling frequent changes in state structureGaël Renoux16m
A utility that forces an operator to reset when its state layout changes is built and running in production for DataDome using Flink and Scala, with code at…
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Enriching your Data Stream Asynchronously with Apache FlinkHari Rajaram, Jeremy Ber26m
Shows how to replace blocking lookups with Flink’s async I O using RichAsyncFunction and demonstrates it running on Amazon Kinesis Data Analytics for Apache…
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Data science at scale using Apache Flink: Dynamic model serving and real-time feature generationShashank Agarwal15m
Describes a production platform called Mitra built on Apache Flink + Kafka + RocksDB that serves 500+ e‑commerce companies and performs real‑time model scoring…
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Sweet Streams are Made of These: Applying Metrics-driven Development to Apache FlinkCaito Scherr21m
Practical recipe for making Flink production-ready: build a tight metrics cycle using Flink’s REST API and reporters (Prometheus, DataDog) and pair with an…
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Streaming, Fast and Slow: Mitigating Watermark Skew in Large, Stateful JobsShahid Chohan15m
Stripe builds a custom dual source that backfills from S3 and transparently hands off to Kafka, but large backfills stall due to watermark skew and ballooning…
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Flink + Pulsar: The Path To Unified Batch and StreamingAddison Higham30m
Flink reads from Pulsar with native tiered storage and segments offloaded to S3, enabling parallel batch reads from closed segments and seamless transition to…
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Introducing Tensorflow on FlinkXuannan Su35m
An implementation that runs TensorFlow (and PyTorch) inside Flink by exposing machine‑learning worker/PS roles as Flink operators and an application manager…
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Hands-on Stateful Serverless Applications with Kubernetes and Stateful FunctionsSeth Wiesman34m
Shows building a real Stateful Functions app atop Apache Flink: Python and Go remote SDKs, protobuf Any messages, Kafka ingresses/egresses, MinIO checkpoints…
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Growing a managed Flink streaming platform from scratchChen Qin40m
Pinterest builds a managed Flink platform that onboards over 25 projects and productionizes 27+ jobs in H1 2020 by shipping a unified source (reads Kafka or…
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Sampling and Modelling the World in Real-Time for MobilityAlberto Romero38m
A real-time platform ingests telematics at 10–100 Hz telematics and GPS at 1 Hz, fuses weather, road features and police accident records, and produces…
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A Year in Flink - Flink SQL Live CodingNico Kruber31m
A live Flink SQL demo rebuilds community stats by ingesting GitHub commits, PRs and three mailing‑list mbox archives into Kafka then querying them from the…
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Metamodelization and Automatic Generation of ML PipelinesDavid Massart15m
Claims an Apache Flink + Kafka pipeline that serves PMML models delivered via Kafka and auto-generates the Flink job code for enrichment steps. Enrichments are…
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Towards a Flink Autopilot in Ververica PlatformFabian Paul19m
Ververica Platform Autopilot automatically reconfigures Flink jobs by combining operator idle time ms/sec with source Kafka lag to compute exact parallelism…
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FlinkNDB : Skyrocketing Stateful Capabilities of Apache FlinkSruthi Sree Kumar, Muhammad Haseeb Asif24m
FlinkNDB replaces embedded RocksDB with an external state backend built on MySQL Cluster Engine and demonstrates stateful scaling to hundreds of terabytes…
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How Nextdoor improves their customer experience in real time with Apache FlinkDeepthi Mohan, Eugene Brechko16m
Built an Interaction Store that consumes Kinesis Data Streams, processes with Apache Flink on Kinesis Data Analytics, and writes to DynamoDB; state holds…
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Splunk Data Stream ProcessorJamie Grier21m
Splunk’s Data Stream Processor routes ingest through Apache Pulsar into Flink jobs compiled from SPL via an AST type checker and planner that emits a Flink job…
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End-to-end Flink SQL with Schema Registry, Kafka & KuduGyula Fora, Balazs Varga31m
An end-to-end Flink SQL pipeline reads Avro records from Kafka via the Schema Registry catalog, enriches by joining on sensor_id to a Kudu table exposed…
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Building Unified Streaming Platform at UberZhenqiu Huang, Venkata Sanath Muppalla38m
Uber runs 2,500 Flink pipelines handling more than 6 trillion messages per day and builds a unified deployment layer that manages both Streaming SQL and native…
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When your stream doesn't stream very wellNiels Basjes29m
Apache Flink + Kafka jobs stall on test or batchy streams because windows wait for watermarks and sinks buffer small volumes; common failure modes are slow…
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Data processing at Spotify - Why portability mattersJulien Tournay, Filipe Regadas36m
Spotify uses Scio, a Scala API on Apache Beam, to run the same job on Dataflow -> Flink or Spark or Hadoop with no code change. Migration from a 2,500-node…
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News from Flink’s engine room: “Full steam ahead”Till Rohrmann44m
Flink adds a pipeline region scheduler that makes pipeline regions the atomic unit for scheduling and failover and avoids deadlocks when resources are…
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Using the Mm FLaNK Stack for Edge AI (Flink, NiFi, Kafka, Kudu)Timothy J Spann32m
A working edge pipeline that reads desk sensors with MiNiFi -> NiFi -> Kafka, validates and writes Avro with a central schema registry, and runs a continuous…
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Change Data Capture and Processing with Flink SQLJark Wu, Qingsheng Ren42m
Flink SQL 1.11 implements FLIP-95 so sources can emit insert/update/delete changelog and the pipeline reads snapshots then binlogs; a demo wires MySQL/Postgres…
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Flink @WORKDAY: scaling of ingestion data pipelines to S3Leire Fernandez de Retana, Enrico Agnoli31m
Flink jobs scale from 4k+ buckets and tiny per-bucket streams to single-bucket batch loads of 150M+ messages by replacing the default sink with a two-phase S3…
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A journey of scaling high-volume low-latency stateful processingArti Pande34m
Pipeline targets 1M TPS peak and proves feasibility by hitting 3.5M TPS on the stateful dedupe operator using Apache Flink with Kafka as source after…
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Load ImbalanceDmitry Voronov09m
Resolving data spikes imbalance with additional Sub-Keys and Sharded MapState Motivation: Problem 1: MCAS team uses Flink Streaming Framework for Real-Time…
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Building an End-to-End Analytics Pipeline with PyFlinkMarta Paes25m
A runnable pipeline that reads mailing‑list rows via the Postgres CDC connector, classifies each message with an LDA model trained locally using gensim and…
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On-demand low-latency feature generation at HyperconnectJaehyeuk Oh, Jeongmin Kim15m
Hyperconnect builds a Flink-based real-time feature store (three layers: User Event Store, Feature Generator, Feature Consumer) that serves on-demand features…
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Disco: Efficient Distributed Window AggregationLawrence Benson19m
Disco implements distributed window aggregation by slicing streams, pre-aggregating at leaf and intermediate nodes, and merging intermediate results at the…
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Interactive Session - Live Code Contribution to Apache FlinkSeth Wiesman40m
Flink repo with over a quarter billion lines gets a concrete feature: add an executeAndCollect API that returns a closable iterator and a bounded collect…
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Tale of Stateful Stream to Stream ProcessingAjit Koti31m
Netflix migrates its end-to-end batch payment workflow for 180M+ members across 190 countries to a multi-step Apache Flink streaming pipeline, rewriting big…
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How We're Democratizing Stream Processing at ZillowKELLY SMITH39m
Zillow replaces slow ticketed builds with a self‑service platform that provisions Flink jobs, Kafka topics and permissions in minutes using Kubernetes as the…
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CEP platform handling millions of users - lessons from 3 years in productionKrzysztof Zarzycki34m
A Flink-based CEP platform ingests Kafka streams from NiFi and on-prem Hadoop and now serves over 10 million subscribers, ~500k interactions/sec and billions…
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Flink's New Dockerfile: One File to Rule Them AllAndrey Zagrebin15m
Flink replaces many scattered Dockerfiles with a single official Dockerfile that builds one image for jobs and clusters and explains how to deploy to local…
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Production Ready Streaming SQL with Ververica PlatformFabian Hueske20m
Ververica Platform adds Flink SQL support and ships a web-based SQL editor with catalog browsing, auto-complete, interactive preview and schema inference. It…
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Flink powers Houzz near-realtime pipeline & Kubernetes logging observabilityMenglei Sun20m
Within a year Apache Flink becomes Houzz’s near‑real‑time engine, running 15+ production jobs on Kubernetes and processing 10+ TB/day into Kafka topics; an…
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Alert detection in IoT using broadcast state.Lasse Nedergaard17m
At Trackunit we collect and monitor sensor data from construction machinery around the globe to bring valuable machine insights to our customers. We take…
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Using Flink for Versatile Feature Engineering PipelinesMichal Ciesielczyk20m
Deep.BI builds a Flink-based feature-engineering framework that turns raw event streams into reusable features and live predictions with under one second…
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Zero-downtime upgrades of Flink applicationsLakshmi Rao16m
Lyft moves stateful Flink jobs from EC2 to Kubernetes and implements Flink Kubernetes Operator-driven blue‑green upgrades that create a new cluster, take a…
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Powering OLAP at Uber using Apache FlinkChinmay Soman, Girish Baliga15m
Apache Flink converts user SQL into production streaming jobs that read Kafka, apply transformations via AthenaX, and write Kafka output that Apache Pinot…
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Getting Started with Flink for Small Teams w/ RabbitMQ and KubernetesAustin Crawley-Edwards17m
Walks through a concrete small-company pipeline: Twitter ingestion into a Flink job that buckets hourly analytics and bulk indexes to Elasticsearch, then…
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Realtime bot detection with FlinkPradeep Nethagani15m
Yelp builds a Flink-backed Bot Signal Platform that processes 2.5 billion events per day and holds about 1 TB state to classify users as bot or not in near…
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Feature Stores: Powering Machine Learning Infrastructure with Apache FlinkSimba Khadder15m
Built a production feature store on Apache Flink feeding 10s of millions of users and used for personalization at ~100M MAU, with pipelines on Flink + Pulsar +…
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Interview and AMA with the creators of Stateful FunctionsSeth Wiesman, Stephan Ewen, Robert Metzger, Igal Shilman42m
Creators of Apache Flink’s Stateful Functions describe a runtime that exposes virtual actors with message passing and colocated durable state, using Flink…
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