Diagram-1
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This document provides an overview of the key components and capabilities of a stream analytics platform. The platform collects data from various sources, processes both streaming and historical data using complex event processing and indexing, and generates insights, alerts, and visualizations for real-time monitoring and troubleshooting through components that allow for data collection, analysis, filtering, enrichment, correlation, and blending.
Diagram-1
- 1. STREAM PRODUCT INSIGHTS OPERATIONS MANAGEMENT ANALYZE & TROUBLESHOOT MONITOR / REAL TIME ALERTS RICH VISUALIZATION BLEND ANALYZE CORRELATE ENRICH FILTER DATA COLLECTION MESSAGING DATA COLLECTION CLUSTER Hadoop RDBMS S3 SOCIAL MEDIA SENSORS DATABASE LOGS DATA FROM SERVERS CSV FILES DATA STREAMING + COMPLEX EVENT PROCESSING + INDEXING INSIGHTS / ALERTS / ANALYSIS VISUALIZATION NoSQL HEART CUBE STREAM ANALYTICS COMPONENTS