Jeremy Irons
Kafka
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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.
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Kafka 3.0.0 includes a number of significant new features....
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The Kafka Streams API to implement stream processing...
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Here is a description of a few of the popular use cases for...
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KAFKA-14021: MirrorMaker 2 should implement KIP-618 APIs:...
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- Introduction
- Why Kafka? Benefits and Use Cases
- Kafka Architecture – Fundamental Concepts
- Kafka Components and Ecosystem
Apache Kafka is an event streaming platform used to collect, process, store, and integrate data at scale. It has numerous use cases including distributed streaming, stream processing, data integration, and pub/sub messaging. In order to make complete sense of what Kafka does, we'll delve into what an event streaming platform is and how it works. So...
Kafka is used by over 100,000 organizations across the world and is backed by a thriving community of professional developers, who are constantly advancing the state of the art in stream processing together. Due to Kafka's high throughput, fault tolerance, resilience, and scalability, there are numerous use cases across almost every industry - from...
Kafka Topics
Events have a tendency to proliferate—just think of the events that happened to you this morning—so we’ll need a system for organizing them. Kafka’s most fundamental unit of organization is the topic, which is something like a table in a relational database. As a developer using Kafka, the topic is the abstraction you probably think the most about. You create different topics to hold different kinds of events and different topics to hold filtered and transformed versions of the same kind of e...
Kafka Partitioning
If a topic were constrained to live entirely on one machine, that would place a pretty radical limit on the ability of Kafka to scale. It could manage many topics across many machines—Kafka is a distributed system, after all—but no one topic could ever get too big or aspire to accommodate too many reads and writes. Fortunately, Kafka does not leave us without options here: It gives us the ability to partitiontopics. Partitioning takes the single topic log and breaks it into multiple logs, eac...
How Kafka Partitioning Works
Having broken a topic up into partitions, we need a way of deciding which messages to write to which partitions. Typically, if a message has no key, subsequent messages will be distributed round-robin among all the topic’s partitions. In this case, all partitions get an even share of the data, but we don’t preserve any kind of ordering of the input messages. If the message does have a key, then the destination partition will be computed from a hash of the key. This allows Kafka to guarantee t...
If all you had were brokers managing partitioned, replicated topics with an ever-growing collection of producers and consumers writing and reading events, you would actually have a pretty useful system. However, the experience of the Kafka community is that certain patterns will emerge that will encourage you and your fellow developers to build the...
Website. kafka .apache .org. Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
Apache Kafka is an open-source distributed streaming system used for stream processing, real-time data pipelines, and data integration at scale.
Apache Kafka® is a distributed event streaming platform that is used for building real-time data pipelines and streaming applications. Kafka is designed to handle large volumes of data in a scalable and fault-tolerant manner, making it ideal for use cases such as real-time analytics, data ingestion, and event-driven architectures.
May 11, 2024 · Overview. In this tutorial, we’ll learn the basics of Kafka – the use cases and core concepts anyone should know. We can then find and understand more detailed articles about Kafka. 2. What Is Kafka? Kafka is an open-source stream processing platform developed by the Apache Software Foundation.
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Much like its namesake, Apache Kafka can be an inscrutable beast for the uninitiated. Our free whitepaper contains best practice & expert knowledge to give you an edge.
