Integrating Apache NiFi and Apache Kafka

Integrating Apache NiFi and Apache Kafka NiFi & Kafka forms the core of several modern data streaming architectures.

Apache Nifi automates the data flow between the systems of a software. It facilitates powerful, scalable & directional data routing with sleek system mediation logics.

Apache Kafka builds the “live� data pipelines and aids the apps in streaming data. It has a great fault tolerance, can be scaled & is fast.

Integrating Apache Nifi with Kafka can improve efficiency vastly.

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Benefits When Apache Nifi is integrated with Kafka, lengthy codes can be eliminated in many instances. The whole process of data routing becomes a piece of cake and it is possible to administer & manage data pipelines from a single screen.

There are different techniques of integration which we will discuss. Apache Nifi can act both as a consumer and a producer with Kafka.

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Technique 1: Apache Nifi As a Producer To make Apache Nifi work at its best efficiency, the best option is to use it as Kafka producer. Data generated from any source is considered as the input which gets forwarded to the Kafka broker.

In simple terms, Apache Nifi acts as the producer to route data to suitable Kafka topics.How is this approach beneficial? It eliminates the need of producer codes to route data to Kafka. Instead, a suite of Nifi processors are dragged & dropped (known as PublishKafta) to send data to Kafka and the data pipelines are monitored visually.

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Technique 2: Apache Nifi As a Consumer In this setting, Apache Nifi acts as the Kafka consumer. It manages the entire logic. It can effectively gather data from Kafka and forward it as required. It eliminates the requirement of the consumer code in the same way. The Nifi processors(known as ConsumeKafta) are dragged and dropped. This paves the way for the delivery of data from Kafka to HDFS Note: In a few cases, a bi-directional flow can also be set up to address complicated scenarios

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The Integration Incorporates The Best From Both The Worlds Kafka is suitable for relatively smaller messages while Nifi was designed to handle large messages. As you combine both, a robust batching capability is established that combines the best features of both Apache Nifi and Apache Kafka.

The data routing speed improves when a single flow file is published containing millions of messages & the same is forwarded to Kafka. Sending them separately on a file-permessage basis can be time-consuming.

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Learn More About How The Nifi-Kafka Combo Can Benefit You! As more and more data gets generated by the public clouds, customized combos of NiFi & Kafka deployments are increasing. You can have on-premises NiFi clusters to manage data flows and merge them with the cloud sources & targets. Talk to the best Apache Nifi experts of Ksolves and resolve your problems with the best services.

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