Real-Time Analytics Platform
A real-time analytics platform that processes and visualizes millions of events per second, providing instant insights for business intelligence. Problem Statement Traditional analytics systems have significant lag between data collection and insights. This platform delivers real-time analytics with sub-second latency. Core Features Real-Time Ingestion: Process 5M+ events/second Interactive Dashboards: Sub-second query response times Custom Metrics: Define and track business-specific KPIs Alerting: Real-time anomaly detection and notifications Data Export: Export data to multiple formats (CSV, JSON, Parquet) Technology Stack Data Pipeline Ingestion: Apache Kafka for event streaming Processing: Apache Flink for stream processing Storage: ClickHouse for OLAP queries Cache: Redis for hot data Frontend Framework: Next.
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