Getting started with Kafka event streaming: what common data governance mistakes are made?
Even for seasoned experts, Kafka is complicated to learn and use. When it comes to data governance, the stakes are too high to go wrong. In this blog, we outline common data governance mistakes organizations using Kafka can make, what to do if you’re already experiencing compliance issues with Kafka, and how to avoid problems.
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Common data governance mistakes in Apache Kafka include untracked creation of new topics, leading to unclear use cases and potential data breaches, as well as inadequate security measures that leave sensitive customer data vulnerable. Organizations should enforce strict controls over topic creation and implement robust security protocols like Access Control Lists (ACLs) and authentication to safeguard data. Regular training for users and seeking expert support, such as from Axual, can help maintain compliance and prevent these governance issues.
