Real-Time Data Infrastructure and Processing
Real-Time Data Infrastructure and Processing
Kafka-Based Streaming Architecture
Our real-time data processing infrastructure handles massive volumes of market data with enterprise-grade reliability and performance.
Three-Broker Kafka Cluster:
High Availability: Redundant brokers ensure no data loss during hardware failures
Scalability: Can process millions of messages per second with linear scaling
Fault Tolerance: Automatic failover and data replication across brokers
Low Latency: Sub-millisecond message processing for time-sensitive trading data
Data Stream Management:
Market Data Feeds: Real-time price, volume, and order book data from multiple exchanges
News Feeds: Instant processing of breaking news and market announcements
Social Media Streams: Real-time sentiment data from social media platforms
Economic Data: Immediate processing of economic indicators and central bank announcements
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