Streaming Frontiers - S01E08 - How to Query a Stream - Real-time OLAP - Analytics That Never Sleep
Автор: Confluent Developer
Загружено: 2025-10-22
Просмотров: 200
Remember when real-time analytics meant dashboards that refreshed every 15 minutes? Those days are over.
Modern businesses demand analytics that move at the speed of their operations. When a fraud pattern emerges, you need to know in milliseconds, not minutes. When customer behavior shifts, your recommendation engine needs to adapt immediately. When systems start failing, your monitoring dashboards need to alert before the outage happens.
This is the world of real-time online analytical processing (OLAP)—where analytical queries run at operational speeds.
What You'll Discover in This Episode
Join Viktor Gamov as he takes us inside the high-performance world of real-time analytical databases, exploring the two powerhouses that are redefining what's possible with streaming analytics:
⚡ Apache Pinot™: LinkedIn's Secret Weapon
What it is: A real-time distributed OLAP datastore designed for user-facing analytics
The LinkedIn story: How Pinot powers analytics for 900M+ users with sub-second query latency
Live demo: Building a real-time analytics dashboard
Best for: User-facing analytics, AdTech, real-time recommendations, and dashboards that can't wait
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