Why Apache Kafka and Apache Flink work incredibly well together to boost real-time data analytics
When data is analyzed and processed in real-time, it can yield insights and actionable information either instantly or with very little delay from the time the data is collected. The capacity to collect, handle, and retain user-generated data in real-time is crucial for many applications in today’s data-driven environment. There are various ways to emphasize the significance of real-time data analytics like timely decision-making, IoT and sensor data processing, enhanced customer experience, proactive problem resolution, fraud detection and security,...