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 offers near real-time analytics, allowing developers to build APIs for code-streaming pipelines. It is highly stable, open-source, and integrates with Anaconda and Miniconda for machine learning. While supporting multiple window types and enhancing decision-making, it faces challenges like complex setup, resource intensity, and memory management. Recommended for five-second latency use cases, it requires improvements in cost optimization and handling diverse data types like COBOL and JSON.
