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.

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