In a world that never stops, "batch processing" is no longer enough. To stay competitive, organizations must react to data the millisecond it’s generated. This episode dives into Amazon Kinesis, the powerful AWS ecosystem designed to ingest, process, and analyze massive streams of real-time data—from IoT sensors and application logs to live video feeds. Whether you’re building a fraud detection engine or a live gaming leaderboard, learn how to turn a continuous flow of data into instant, actionable insights.
📘 What You’ll Learn:
The Kinesis Family Breakdown: Understanding the distinct roles of Data Streams (custom apps), Data Firehose (delivery), Data Analytics (SQL processing), and Video Streams.
Real-Time vs. Near-Real-Time: When to choose the sub-second latency of KDS versus the managed simplicity of Data Firehose.
Security & Fraud Detection: How to use Kinesis for real-time anomaly detection, spotting suspicious transactions before they clear.
IoT & Operational Monitoring: Processing continuous telemetry from millions of devices to trigger instant alerts and predictive maintenance.
Serverless Analytics: Leveraging standard SQL through Kinesis Data Analytics (now Managed Service for Apache Flink) to query streams without managing servers.
Modern ETL Pipelines: How to reliably deliver and transform streaming data into your S3 data lake or Redshift warehouse.
🎧 Tune in to discover how to architect a "Live Data" strategy that keeps your business moving at the speed of the cloud.
