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- Apache 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
- Apache Kafka
For more on streams, check out the Apache Kafka Streams documentation, including some helpful new tutorial videos Operating Kafka at scale requires that the system remain observable, and to make that easier, we’ve made a number of improvements to metrics
- Apache Kafka
Kafka is a distributed system consisting of servers and clients that communicate via a high-performance TCP network protocol It can be deployed on bare-metal hardware, virtual machines, and containers in on-premise as well as cloud environments
- Apache Kafka
Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages This allows for lower-latency processing and easier support for multiple data sources and distributed data consumption
- Apache Kafka
Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages This allows for lower-latency processing and easier support for multiple data sources and distributed data consumption
- Documentation - Apache Kafka
Kafka Streams is a client library of Kafka for real-time stream processing and analyzing data stored in Kafka brokers This quickstart example will demonstrate how to run a streaming application coded in this library
- Apache Kafka
The Connector API allows building and running reusable producers or consumers that connect Kafka topics to existing applications or data systems For example, a connector to a relational database might capture every change to a table
- Documentation - Apache Kafka
Starting in 0 10 0 0, a light-weight but powerful stream processing library called Kafka Streams is available in Apache Kafka to perform such data processing as described above
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