Thanks for the answer, Alexander.
You mentioned "There's also a more "descontructed" approach of chaining together serverless functions like AWS Lambda." .
Will it be a multi-phase analytics system? Meaning a mixed strategy of analytics processing, chaining:
- at-the edge analytics (IoT devices)
- in-stream analytics (derived/complex stream evens)
- at-rest analytics (rich, historical context in data lakes for predictive analytics modeling and forecasting, data patterns discovery)
Can you elaborate on that? Any specific scenarios/patterns/use cases for building such chains, which, I understand should mix both push-based continuous intelligence analytics systems with on-demand, pull-based analytics.