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Building a Resilient Event-Driven Architecture with Apache Kafka and Stream Processing
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Building a Resilient Event-Driven Architecture with Apache Kafka and Stream Processing

DEV Community: webdev·Rizwan Saleem·5 months ago
#4hoVewdf
#dev#order#kafka#flink#article

Building a Resilient Event-Driven Architecture with Apache Kafka and Stream Processing ...

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Stream Processing Continuum: Golang Sockets to Flink and Spark Pipelines
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Stream Processing Continuum: Golang Sockets to Flink and Spark Pipelines

DEV Community·Andrey·6 months ago
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#execution#go#spark#data#architecture

Real-Time Stream Processing Real-time data processing operates on continuous, unbounded...

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Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput
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Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput

DEV Community·ANKUSH CHOUDHARY JOHAL·6 months ago
#egSSJH64
#flink#spark#use#tip#benchmark

From Dev Community: Performance Test: Flink 1.19 vs. Spark 4.0 vs. Kafka Streams 3.8 Windowed Aggregation Throughput

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We forked Apache Stateful Functions for Flink 2.x — here's why
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We forked Apache Stateful Functions for Flink 2.x — here's why

DEV Community·Oleksandr Kazimirov·6 months ago
#wLp8ziqd
#apacheflink#statefun#java#flink#stateful

Apache Stateful Functions hasn't shipped a release since October 2024 and pins Flink 1.16 + Java 11. We needed it on Flink 2.x with Java 21, plus Kinesis I/O restored. Here's the rebuild.

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System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine | Towards Data Science
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System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine | Towards Data Science

Towards Data Science·Sanil Khurana·6 months ago
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#deepdives#editorspicks#newsletter#flink#kafka

From Towards Data Science: System Design Series: Apache Flink from 10,000 Feet, and Building a Flink-powered Recommendation Engine

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