Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.
Learn more about Flink at https://flink.apache.org/
Last Releases
- release-2.0.0Release Flink 2.0.0 Source: https://github.com/apache/flink/releases/tag/release-2.0.0
- release-1.20.1Release Flink 1.20.1 Source: https://github.com/apache/flink/releases/tag/release-1.20.1
- release-1.19.2Release Flink 1.19.2 Source: https://github.com/apache/flink/releases/tag/release-1.19.2
- release-1.20.0Release Flink 1.20.0 Source: https://github.com/apache/flink/releases/tag/release-1.20.0
- release-1.19.1Release Flink 1.19.1 Source: https://github.com/apache/flink/releases/tag/release-1.19.1
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Apache Flink: Common Local Installation Issues
Apache Flink is a powerful tool for handling large-scale data streaming and batch processing, but local installations can encounter a range of issues. Here are three frequent challenges and their solutions. 1. Java Compatibility Issues Problem: Flink installations often fail due to Java version incompatibilities. Flink requires specific Java versions, and using an unsupported Java…
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Installing Apache Flink: A Step-by-Step Guide
Introduction Apache Flink is a powerful, distributed stream-processing framework widely used for real-time analytics and data processing. Installing Flink locally enables you to develop, test, and experiment in a controlled environment before deploying applications at scale. This guide covers the installation methods for Apache Flink using Docker and setup instructions for common programming languages such…
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Data Streaming and Real-Time Analytics With Apache Flink
Introduction to Apache Flink Apache Flink is a powerful open-source stream-processing framework designed to handle real-time data streams at scale, offering low-latency processing and high throughput for big data applications. Its main strength lies in managing continuous streams of data, making it ideal for organizations seeking real-time insights, anomaly detection, or predictive analytics across various…