Build Real time, AI powered Apps

on YouTube ↗19m

" summary

DataStax argues teams can move from nightly batches to subsecond online predictions by combining Cassandra for globally distributed storage, Apache Pulsar (Astra Streaming) with serverless functions for in‑memory event processing, and the acquired Cascada feature engine to compute and serve features to models. Examples include Uber, Netflix and FedEx running production workloads. Claims include eliminating data transfer costs, supporting stream joins and time‑travel features from S3, and projected 10x real‑time data growth by 2025.

AI-written summary · about

" chapters (4)

1. 0:00Introduction to real-time AI
2. 2:09Data in motion
3. 3:22Challenges and solutions
4. 5:02Building real-time systems

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