Remove deploying-kafka-streams-and-ksql-with-gradle-part-1-overview-and-motivation
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Deploying Kafka Streams and KSQL with Gradle – Part 1: Overview and Motivation

Confluent

The customer was heavily invested in MuleSoft ® , and as part of the project, the MuleSoft team abstracted many of these different sources/targets as simple REST APIs. The customer was heavily invested in MuleSoft ® , and as part of the project, the MuleSoft team abstracted many of these different sources/targets as simple REST APIs.

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Deploying Kafka Streams and KSQL with Gradle – Part 3: KSQL User-Defined Functions and Kafka Streams

Confluent

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. KSQL user-defined functions. gradlew composeUp.

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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices.

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