Learn Kafka Schema Evolution: Understand, Manage & Scale Data Streams with Confluent Schema Registry. Essential for Data Engineers & Architects.

Discover how Apache Kafka’s data retention and querying capabilities make it similar to a database and learn when to use Kafka for database-like use cases.

This is a study comparing environments for Apache Kafka. The ultimate goal is to find the most effective setup and achieve the best price-performance ratio.

7/13/2024: Top 5 stories on the HackerNoon homepage!

Explore the First In First Out (FIFO) mechanism in message brokers and learn how to maintain message order across different systems.

Learn how to integrate the Apache Kafka component into your .Net Aspire project using Visual Studio 2022.

Article explaining the importance of speedy data analytics and implementation of robust data infrastructure to achieve the same with live streaming data.

[https://hackernoon.com/photos/zXE6n93W9qXDNsP8hiip4vQhbqg2-pi1dk2f60]
This is a 1.0 story that I edited

Thanks to Tom de Ruijter, [https://medium.co

Unbounded data refers to continuous streams of data generated from sources that require real-time or near-real-time processing for timely insights.

Streaming systems are capable of producing correct, consistent, and repeatable results.

This article explores different caching strategies—such as in-memory, distributed, and hybrid approaches—for optimizing performance in microservices or monolith