In today's highly competitive landscape, businesses must be able to gather, process, and react to data in real-time in order to survive and thrive. Whether it's detecting fraud, personalizing user experiences, or monitoring systems, near-instant data is now a need, not a nice-to-have.
However, building and running mission-critical, real-time data pipelines is challenging. The infrastructure must be fault-tolerant, infinitely scalable, and integrated with various data sources and applications. This is where leveraging Apache Kafka, Python, and cloud platforms comes in handy.