Modern Data Engineering Stack: Kafka, Spark & Real-Time Analytics

Real-time data has moved from a nice-to-have to a competitive necessity. A modern stack streams, processes and serves data with sub-second latency across the business.

Streaming with Kafka

Apache Kafka is the backbone for event streaming — a durable, high-throughput log that decouples producers from consumers and powers everything from analytics to microservice communication.

Processing with Spark

Apache Spark handles both batch and streaming transformations at scale. Structured Streaming lets teams reuse the same logic for historical and live data.

Serving insights

Pair a columnar warehouse or lakehouse with a fast query layer to power dashboards that update in real time, so decision-makers always see the current state of the business.