In this clip from our LinkedIn Live, Snowplow's SVP of Engineerin,g John Piekos, breaks down how batch and streaming architectures impact data latency, cost, and business value. Learn why streaming is critical for powering hyper-personalized user experiences in the moment, and how Snowplow puts fresh behavioral data at your fingertips—without the delays or cost barriers of packaged platforms like Google Analytics.
Key takeaways:
- Batch vs. streaming data: definitions and trade-offs
- How Snowplow delivers in-the-moment behavioral data- Why real-time event value decays fast—and how to act instantly
- Use cases for real-time personalization and product recommendations
💡 Perfect for engineers, analysts, and data-driven teams building customer-centric, real-time platforms.
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Curious to hear more? Watch John's full session here: https://snowplow.io/events/real-time-data-when-does-speed-matter-most
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