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26 Apr 2017 Before we dive into the details of Structured Streaming's Kafka support, let's recap some basic concepts and terms. Data in Kafka is organized
Learn about Apache Spark and Kafka Streams, and get a comparison of Spark streaming and Kafka streams to help you decide when you should use which.
10 Mar 2016 Kafka Streams is a library for building streaming applications, specifically applications that transform input Kafka topics into output Kafka topics (or calls to external services, or updates to databases, or whatever). It lets you do this with concise code in a way that is distributed and fault-tolerant.
13 Jun 2017 The demand for stream processing is increasing a lot these days. The reason is that often processing big volumes of data is not enough.
21 Jun 2017 Checkpointing the Kafka Stream will cause the offset ranges to be stored in the checkpoint. If there is a failure, the Spark Streaming application
Apache Kafka: A Distributed Streaming Platform. Kafka Streams API Kafka Streams is a client library for building applications and microservices, where the
29 Aug 2017 Said Narkhede, “KSQL is a completely interactive distributed SQL engine for Apache Kafka. It lets you do all sorts of continuous stream
Apache Kafka: A Distributed Streaming Platform. Process. Write scalable stream processing applications that react to events in real-time. Learn more »
Kafka Streams. This section describes Kafka Streams, a component of open source Apache Kafka. Kafka Streams is a powerful, easy-to-use library for building highly scalable, fault-tolerant, distributed stream processing applications on top of Apache Kafka.
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