GenieAnalytics is a big data-powered network traffic analytics platform designed for carrier-grade environments. It collects and correlates heterogeneous data sources — including flow records, BGP routing, and SNMP — from routers and switches via the GenieATM platform and its embedded GA Agent Modules. Correlated and annotated data is stored in a distributed big data lake for real-time or historical analysis. Key capabilities include: - Multi-dimensional Top-N breakdown analysis using various data classification and aggregation keys - Customizable sequential filters for traffic data exploration - Analytic time settings (relative and absolute) with granularity as low as seconds - Selectable metrics: data rate (bps, pps, fps), sum (bytes, packets, flows), unique counts, average, min, max - Interactive drill-down data exploration across analytic results - Dashboard templates available via a Marketplace Data storage features a distributed architecture with support for replication and clustering (no single point of failure), parallel data series at different sample rates (minute, hour, day), and JSON export to data sinks such as Kafka. Continuous reporting provides automated Top-N reports with alert policies based on auto-learned traffic baselines. Visualization options include line, bar, area, Sunburst, donut, Sankey, geo-location map, heat map, horizon charts, gauges, and data tables. An optional Deep Trace module adds OTT, CDN, and subscriber visibility.