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In this video, you'll learn how to efficiently get data in and out of a streaming platform. We’ll cover key techniques for ingesting data from various sources, processing it in real-time, and exporting the processed results to external systems. Whether you're dealing with Apache Kafka, AWS Kinesis, or another platform, you'll discover essential strategies for managing data streams seamlessly and integrating them into your workflows.
In this video i'll show you how you can request approval to a stream in Axual and how you can deny or approve that request.
In this third episode, Abhinav will show us how to produce and consume data from a data streaming application in the Axual Platform.
In this getting started guide, we begin by setting up a Kafka topic. After this, we set up and authorize a producer application using the Axual Cloud platform. Prerequisites are: Git, Maven, Java 11 and an IDE which can build maven and compile Java projects. Axual Cloud: https://axual.eu.auth0.com/u/login Docs: https://docs.axual.io/axual/2024.1/ge... Git Repo: https://gitlab.com/axual/public/clien... Contact: https://axual.com/contact-us/ Chapters 00:00 Introduction & prerequisites 00:50 Creating a Kafka topic 01:42 Configuring the Kafka Topic 01:58 Creating the application in Axual Cloud 02:54 Authorizing the application 03:50 Setting up the producer applications 04:53 Starting up the producer application 05:17 Check topic messages in the Axual UI