When Real Time Meets Big Data & Analytics
summary
Argues that Redis functions as a mainstream real‑time layer for big data by combining in‑memory speed with searchable documents, vectors and tiered storage. Shows 200 million ops/sec benchmark (100M reads + 100M writes across 40 AWS nodes) with sub‑millisecond latency, describes modules like RedisJSON and RediSearch, outlines CDC via Debezium and a Kafka/Confluent connector, and positions Redis as an online feature store (multi‑hundred‑GB to TB scale) used successfully in production.
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chapters (13)
- 0:00Introduction
- 1:55History of Big Data
- 5:49What is Redis
- 7:53Performance
- 8:58Querying
- 11:36Performance Scale
- 12:28Redis Enterprise
- 14:10Change Data Capture
- 15:38Kafka Confluence Integration
- 16:43Redis Lambda Architecture
- 18:14Redis BI Ecosystem
- 19:54Feature Store
- 22:19Resources
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