Transforming the Financial Services Industry with Event Stream Data
summary
Confluent and Kafka power real deployments in India (Hotstar, Swiggy, Freshworks) and banks (IDFC, Access Bank, NSE) to offload core banking and handle massive low-value, high-frequency traffic; setups use Confluent Cloud on AWS/GCP/Azure with Kubernetes, stretch clusters and mirroring for zero data loss. Real-time pipelines detect fraud patterns (example: three rapid transactions across cities flagged in seconds), retain streams for audit, and reduce load on legacy systems while keeping latency under tight SLAs.
AI-written summary · about
chapters (6)
- 0:00Start
- 6:51Platform Economy
- 12:11Service Oriented Architecture
- 16:01What Does Kafka Do
- 16:37Retention of Data
- 25:17How To Get Started
related talks
26mLeveraging Data in Motion in a Cloud-first World
39mData Streaming? I don't even know her
21mHow Apache Kafka® Generates Value In Retail With Confluent
31mBridge to the Cloud
06mJay Kreps interview
34mBeaming Flink to the Cloud @ Netflix
50mApplication development and data in the emerging world ...
39mUsing Streaming Data Pipelines in the Cloud to Achieve Success
