MLOps-Building a Real-time Data Pipeline with Kafka: Two Projects-A Step-by-Step Guide

Apache Kafka is a distributed streaming platform that allows for the processing, storage, and real-time analysis of vast amounts of data. Developed at LinkedIn and later contributed to the open-source community, Kafka is designed to handle data streams from various sources and deliver them to multiple consumers, whether they’re databases, real-time analytics tools, or other processing applications. Traditional batch processing systems can’t keep up with the pace of this incoming data. Kafka, with its capability to handle real-time data streams, bridges this gap. Kafka’s acts as a central hub, ensuring a seamless flow of data between data producers (like web apps, IoT devices) and data consumers (like databases, analytics tools). <a href="https://levelup.gitconnected.com/mlops-building-a-real-time-data-pipeline-with-kafka-two-projects-a-step-by-step-guide-d93bace2676c">Visit Now</a>