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Video recordings from Flink Forward Global 2021 on October 26-27, 2021 including both Keynotes and breakout sessions at the virtual event.

KEYNOTE: Apache Flink in the Cloud-native Era

KEYNOTE: Apache Flink in the Cloud-native Era

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KEYNOTE: Flink architecture and automation in Intesa Sanpaolo

KEYNOTE: Flink architecture and automation in Intesa Sanpaolo

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KEYNOTE: Sharing what we love: The Apache Flink story at Pinterest

KEYNOTE: Sharing what we love: The Apache Flink story at Pinterest

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KEYNOTE | Expert Panel: Current & Future State of the Art in Real-Time Data Infrastructure

KEYNOTE | Expert Panel: Current & Future State of the Art in Real-Time Data Infrastructure

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Dataflow Engines for Executing Cloud Applications: a Maslow's Hammer or Natural Outcome?

Dataflow Engines for Executing Cloud Applications: a Maslow's Hammer or Natural Outcome?

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Only SQL: Empower data analysts end-to-end with Flink SQL

Only SQL: Empower data analysts end-to-end with Flink SQL

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A Year in Flink: The most important changes of the last versions

A Year in Flink: The most important changes of the last versions

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Introduction to Flink in 30 minutes

Introduction to Flink in 30 minutes

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Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors

Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors

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Real Time Fraud Detection with Stateful Functions

Real Time Fraud Detection with Stateful Functions

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XStream: Stream Processing Platform at Facebook

XStream: Stream Processing Platform at Facebook

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Networks! project - real-time analytics that controls 50% of mobile network in Poland

Networks! project - real-time analytics that controls 50% of mobile network in Poland

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A Debuggers Guide to Apache Flink Streaming Applications

A Debuggers Guide to Apache Flink Streaming Applications

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SPONSORED Interactive Session: Flink on Autopilot with Splunk

SPONSORED Interactive Session: Flink on Autopilot with Splunk

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Building payment processing engine with Stateful Functions and Spring Boot

Building payment processing engine with Stateful Functions and Spring Boot

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Using Flink SQL on Ververica Platform

Using Flink SQL on Ververica Platform

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Building an open-source ML feature store with Apache Flink

Building an open-source ML feature store with Apache Flink

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SPONSORED Session: From concept to production; the fastest way to develop & deploy Apache Flink jobs

SPONSORED Session: From concept to production; the fastest way to develop & deploy Apache Flink jobs

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Getting into Low-Latency Gears with Apache Flink

Getting into Low-Latency Gears with Apache Flink

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Keeping Redditors safe in real-time with Flink Stateful Functions

Keeping Redditors safe in real-time with Flink Stateful Functions

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Change Data Streaming Patterns in Distributed Systems

Change Data Streaming Patterns in Distributed Systems

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SPONSORED Interactive Session: Running Flink SQL jobs in production

SPONSORED Interactive Session: Running Flink SQL jobs in production

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PyFlink: Building Flink applications with Python language

PyFlink: Building Flink applications with Python language

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Real-time bot mitigation with machine learning in Flink

Real-time bot mitigation with machine learning in Flink

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SPONSORED Interactive Session: Optimising data streaming pipelines on Flink and Kafka

SPONSORED Interactive Session: Optimising data streaming pipelines on Flink and Kafka

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Integrating Flink into your ecosystem - How to build a Flink connector from scratch

Integrating Flink into your ecosystem - How to build a Flink connector from scratch

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Stateful Functions: Flexible like a Microservice, Consistent like a Monolith

Stateful Functions: Flexible like a Microservice, Consistent like a Monolith

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Data Pipeline Lifecycle: SQL Everywhere

Data Pipeline Lifecycle: SQL Everywhere

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Sources, Sinks, and Operators: A Performance Deep Dive

Sources, Sinks, and Operators: A Performance Deep Dive

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SPONSORED Interactive Session: Beam and Beam on Flink general roadmap discussion and AMA

SPONSORED Interactive Session: Beam and Beam on Flink general roadmap discussion and AMA

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Big Data Processing : Where do we go next ?

Big Data Processing : Where do we go next ?

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Polyglot Actor Model on Flink Stateful Functions

Polyglot Actor Model on Flink Stateful Functions

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SPONSORED Talk: The easy way to build and run Flink SQL jobs using Cloudera SQL Stream Builder

SPONSORED Talk: The easy way to build and run Flink SQL jobs using Cloudera SQL Stream Builder

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NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest

NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest

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Demystifying Deployments: Applications or Clusters, Active and Reactive Scaling - What is it about?

Demystifying Deployments: Applications or Clusters, Active and Reactive Scaling - What is it about?

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Jump start large window computations with Hybrid Source

Jump start large window computations with Hybrid Source

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Fitting Stateful Functions into a streaming platform

Fitting Stateful Functions into a streaming platform

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Building Presto SQL experience on Flink

Building Presto SQL experience on Flink

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ML Inference at scale, with Apache Beam and the Flink runner: Easy as learning your 5 times tables.

ML Inference at scale, with Apache Beam and the Flink runner: Easy as learning your 5 times tables.

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Fault Tree Analysis Applied to Apache Flink

Fault Tree Analysis Applied to Apache Flink

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Storing State Forever: Why It Can Be Good For Your Analytics

Storing State Forever: Why It Can Be Good For Your Analytics

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Paper Moon: A Comparison of Stateful Functions and Pulsar Functions

Paper Moon: A Comparison of Stateful Functions and Pulsar Functions

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SPONSORED Interactive Session: AMA | Pulsar and Flink for Unified Data Processing

SPONSORED Interactive Session: AMA | Pulsar and Flink for Unified Data Processing

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Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

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Rundown of Flink's Checkpoints

Rundown of Flink's Checkpoints

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Backfill Flink Data Pipelines with Iceberg Connector

Backfill Flink Data Pipelines with Iceberg Connector

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Flink's Table & DataStream API: A Perfect Symbiosis

Flink's Table & DataStream API: A Perfect Symbiosis

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SPONSORED Talk: Maintaining highly available Flink applications at scale

SPONSORED Talk: Maintaining highly available Flink applications at scale

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DrSquirrel - A self-service diagnosis tool for Flink jobs

DrSquirrel - A self-service diagnosis tool for Flink jobs

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SPONSORED Talk: Continuous Queries on Apache Pulsar using Flink SQL

SPONSORED Talk: Continuous Queries on Apache Pulsar using Flink SQL

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Birds of a Feather Session - Stateful Functions

Birds of a Feather Session - Stateful Functions

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