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- Apache Kafka
More than 80% of all Fortune 100 companies trust, and use Kafka Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications
- Franz Kafka - Wikipedia
Franz Kafka [b] (3 July 1883 – 3 June 1924) was a novelist and writer from Prague who was Jewish, Austrian, and Czech [4] and wrote in German He is widely regarded as a major figure of 20th-century literature
- What is Kafka? - Apache Kafka Explained - AWS
Kafka is used to build real-time streaming data pipelines and real-time streaming applications A data pipeline reliably processes and moves data from one system to another, and a streaming application is an application that consumes streams of data
- Intro to Apache Kafka®: Tutorials, Explainer Videos More - Confluent
This beginner’s guide features Apache Kafka® courses and tutorials that will help you learn key Kafka concepts and how to get started from the ground up It includes a look at Kafka architecture, core concepts, and the connector ecosystem
- What is Apache Kafka and How Does it Work? - GeeksforGeeks
Kafka storage is designed to handle high throughput and durability Messages are written on disk in sequence logs, which allow for rapid reads and writes even for enormous amounts of data Kafka also has built-in support for log compaction, or keeping only the most recent value of each unique key
- What is Apache Kafka? - Confluent
Learn what Apache Kafka is, and how it works as a distributed data streaming platform for real-time data pipelines, integration, and stream processing Discover Kafka’s use cases with examples
- Introduction to Apache Kafka | Confluent Documentation
At its core, Kafka is a distributed publish-subscribe messaging system Data is written to Kafka topics by producers and consumed from those topics by consumers Kafka topics can be partitioned, enabling the parallel processing of data, and topics can be replicated across multiple brokers for fault tolerance
- Introduction to Apache Kafka - Baeldung
As we have found out, Kafka uses topic partitions to allow parallel message delivery and load balancing of consumers But Kafka itself must be scalable and fault-tolerant So we typically do not use a single Kafka Broker, but a Cluster of multiple brokers
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