By integrating Apache Spark Streaming, the data freshness rate, and latency have significantly improved from 24-hour batch processing to less than one minute, facilitating faster communication to downstream systems, aiding marketing campaigns.
Apache Spark Streaming is known for its efficiency, stability, and free-to-use open-source nature. It excels in providing near real-time analytics with extensive integration capabilities, enhancing data freshness and reducing latency. Versatile for competitive intelligence and internal tasks, it faces challenges like memory management and setup complexity. While resource-intensive, improvements in event-level streaming and monitoring are needed. Cost optimizations and suitability for millisecond-level analytics remain areas for development.
