Real-Time Analytics

Real-time analytics refers to the process of analyzing data as it is generated or received, providing insights and actionable information in real-time or near-real-time. It enables organizations to make data-driven decisions, detect anomalies, and respond to events as they occur, facilitating proactive decision-making and operational efficiency. Readers can explore how real-time analytics platforms and technologies, such as Apache Kafka, Apache Flink, and Spark Streaming, enable organizations to process and analyze streaming data, monitor key metrics, and derive actionable insights from dynamic and fast-changing data sources.

Comprehensive roadmap for real-time-analytics

By roadmap.sh