What is Real-Time Data Streaming?
Real-time data streaming is the process of capturing, processing, and analyzing data at the point of data creation and in real-time. In batch processing, the data to be processed is usually collected, stored, and then worked upon at a different time. Real-time streaming processes the data on-the-fly, preferably within milliseconds or even seconds of its creation.
This is particularly critical in cases where the application needs to give real-time insights and take necessary real-time action, such as monitoring financial transactions for fraud detection, tracking user live interactions on websites, etc.
How to Use Apache Kafka for Real-Time Data Streaming?
In the present era, when data is king, many businesses are realizing that there is processing information in real-time, which is allowing Apache Kafka, the current clear leader with an excellent framework for real-time data streaming.
This article dives into the heart of Apache Kafka and its application in real-time data streaming, providing insight and practical guidance on how to use the technology.