Real-time Analytics in FinancialOct 28, 20163 likes1,454 viewsAI-enhanced description This document discusses real-time analytics in the financial industry. It describes a use case of detecting abnormal stock transactions in real-time and an architecture to handle it. The architecture uses Kafka as the messaging bus, Storm for real-time processing, and HBase for the data store. It discusses challenges like data ingestion, lookup
