One streaming to rule them all: Streaming as the foundation of an analytics ecosystem
summary
Describes using a streaming-first architecture to unify and accelerate an analytical ecosystem, including real-time analytics and ML, Big Data/DWH, feature store, and A/B testing platforms. Explains the prerequisites for this streaming approach and briefly outlines the rationale for choosing it among alternative solutions.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 2:12Pre-streaming problems
- 10:21Streaming solution
- 13:07Processing logic
- 15:40Use cases
- 21:40Results and benefits
- 24:51Current challenges
- 27:47Summary
- 28:29Q&A
related talks
20mStreaming Architectures
42mBuilding a Streaming (E-health) Data Pipeline: When and How?
38mThe story of building a real-time streaming analytics system
35mStandardisation and leveraging the exponential rise in streaming
41mStreaming: an Alternative to CRUD & Batch Processing
35mStreaming and Real-Time Analytics
01h 14mPANEL - Streaming.
05mThe Future of Data Warehousing