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Watermark Alignment Explained in 2 Minutes | Apache Flink in Action

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The 6 Key Components of a Data Streaming Platform

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How to Set Idle Timeouts | Apache Flink in Action

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Defining Asynchronous Microservice APIs for Fraud Detection | Designing Event-Driven Microservices

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Kafka Consumer Partition Assignment

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Set your Data in Motion with Confluent on Google Cloud

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Real-time Data Warehousing With Streaming Pipelines

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Data Streaming in Real Life: Banking - Cost Reduction Through Mainframe Offloading

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Data Streaming in Real Life: Banking - Fraud Detection

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Data Streaming in Real Life: Banking - Core Banking

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Data Streaming in Real Life: Banking - Real-Time Data Processing in the Financial Services Industry

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Anatomy of a Stream | Flink with Java

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The Flink Job Lifecycle

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Datastream Programming | Flink with Java

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Event Time and Watermarks | Apache Flink 101

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Stateful Stream Processing with Flink SQL | Apache Flink 101

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Using Kafka with Flink | Apache Flink 101

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The Flink Runtime | Apache Flink 101

0:09:00

Intro to Flink SQL | Apache Flink 101

0:07:50

Intro to Stream Processing with Apache Flink | Apache Flink 101

1:27:08

Beyond Speed: Kafka Summit London 2023 Keynote | Jay Kreps, Co-founder & CEO, Confluent

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Introduction | Apache Flink 101

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The Confluent Q2 ‘23 Launch

0:00:56

Current 2023: The Next Generation of Kafka Summit | Register Now