Episode 28 — Streaming Analytics with Pub/Sub + Dataflow
Modern organizations increasingly rely on real-time data rather than static reports. This episode explores how Google Cloud’s Pub/Sub and Dataflow services enable streaming analytics, an advanced topic frequently highlighted in the Google Cloud Digital Leader exam. Pub/Sub functions as a global messaging service that ingests and distributes event data at scale, while Dataflow processes these streams using pipelines for transformation, enrichment, and aggregation. Together, they allow businesses to react instantly to changing conditions—such as fraud detection, inventory updates, or user engagement monitoring. Understanding the flow of data through these tools is key to explaining cloud agility in practice.
We walk through example architectures where Pub/Sub captures events from IoT devices, and Dataflow cleans and routes them into BigQuery for live dashboards. This capability exemplifies how Google Cloud unites infrastructure and analytics into an end-to-end system. Candidates should understand how streaming differs from batch processing, including implications for latency, scalability, and cost management. In real-world operations, streaming analytics supports resilience and customer responsiveness, aligning closely with business transformation objectives. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
