Kafka
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Learn what Kafka is, how it works, and why it is used for event streaming and data integration. Explore Kafka architecture, core concepts, and use cases with examples and videos.
Apache Kafka is a scalable, high-performance, and fault-tolerant platform for data pipelines, streaming analytics, and mission-critical applications. Learn how Kafka is used by thousands of companies across various industries and how to connect, process, and store streams of events.
Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.
The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka can connect to external systems (for data import/export) via Kafka Connect, and provides the Kafka Streams libraries for stream processing applications.
To process streams of events as they occur or retrospectively. And all this functionality is provided in a distributed, highly scalable, elastic, fault-tolerant, and secure manner. Kafka can be deployed on bare-metal hardware, virtual machines, and containers, and on-premises as well as in the cloud.
Jul 29, 2024 · Kafka 1.1.0 includes a number of significant new features. Here is a summary of some notable changes: Kafka 1.1.0 includes significant improvements to the Kafka Controller that speed up controlled shutdown. ZooKeeper session expiration edge cases have also been fixed as part of this effort.
Learn what Apache Kafka is, how it works, and what it is used for. Kafka is a distributed event streaming platform that can handle large volumes of data in a scalable and fault-tolerant manner.
