Stream Processing

Introduction to Apache Flink Apache Flink is more than just a tool for processing data; it’s a powerhouse that can handle both batch and streaming data with ease. Imagine having a system that can analyze your data as it streams in, providing you with insights in real-time. This is exactly what Flink offers, making it a go-to choice for many real-time analytics use cases. Why Apache Flink? Flink stands out due to its robust feature set, including support for stream and batch processing, sophisticated state management, and event-time processing semantics. It ensures exactly-once consistency guarantees for state, which is crucial for applications where data integrity is paramount, such as financial transactions. ...

When it comes to the world of real-time data processing, two names often come to the forefront: Apache Storm and Apache Flink. Both are battle-tested frameworks, but they approach the challenge of stream processing from different angles. In this article, we’ll delve into the intricacies of each, comparing their processing models, fault tolerance, time handling, ease of use, and more. So, buckle up and let’s dive into the ultimate stream processing showdown. ...

Когда речь заходит о мире обработки данных в реальном времени, часто на первый план выходят два имени: Apache Storm и Apache Flink. Оба фреймворка проверены временем, но они подходят к задаче потоковой обработки с разных сторон. В этой статье мы рассмотрим тонкости каждого из них, сравнивая их модели обработки, отказоустойчивость, управление временем, простоту использования и многое другое. Итак, пристегнитесь и давайте погрузимся в окончательное противостояние потоковой обработки. Модель обработки Модель обработки — это то, где фреймворк обработки потоков действительно раскрывается. Вот как выглядят наши претенденты: ...

Introduction to Apache Flink and Plugin Development Apache Flink is a powerful open-source stream processing framework that also supports batch processing. It is widely used for real-time data processing and analytics. One of the key features of Flink is its extensibility through plugins, which allows developers to add custom functionality without modifying the core framework. In this article, we will delve into the process of developing plugins for Apache Flink using Java. ...