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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.
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The following other wikis use this file: Usage on ar.wikipedia.org أباتشي كافكا; Usage on az.wikipedia.org Apache Kafka; Usage on ca.wikipedia.org
Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...
A special case is the majority problem, which is to determine whether or not any value constitutes a majority of the stream. More formally, fix some positive constant c > 1, let the length of the stream be m, and let f i denote the frequency of value i in the stream. The frequent elements problem is to output the set { i | f i > m/c }. [13]
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A stream can be used similarly to a list, but later elements are only calculated when needed. Streams can therefore represent infinite sequences and series. [1] In the Smalltalk standard library and in other programming languages as well, a stream is an external iterator. As in Scheme, streams can represent finite or infinite sequences.
Samza allows users to build stateful applications that process data in real-time from multiple sources including Apache Kafka. Samza provides fault tolerance, isolation and stateful processing. Unlike batch systems such as Apache Hadoop or Apache Spark , it provides continuous computation and output, which result in sub-second [ 3 ] response times.