A Beginners guide to Real-time Data Streaming with Apache Kafka
The article introduces real-time data streaming using Apache Kafka, highlighting its application in fraud detection for banks. It explains how Kafka enables the processing of thousands of transactions per second through event streaming. Key components of Kafka, including producers, consumers, and topics, are outlined to illustrate its functionality.
- ▪Kafka allows banks to process and analyze transactions in real-time to detect fraud.
- ▪Event streaming captures data from various sources and routes it to different technologies.
- ▪Kafka consists of servers that store data, clients that publish and read events, and topics that organize data streams.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3709542) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } GeraldM Posted on May 24 A Beginners guide to Real-time Data Streaming with Apache Kafka #beginners #kafka #datascience #dataengineering Introduction Ever wondered how banks are able to detect and stop fraud in real-time? This is how they do it. Banks process thousands of transactions every second, end each transaction is recorded in backend systems as it happens.
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