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Azure Stream Analytics

IoT Stream Processing & Analytics

Silicus can design and implement massively parallel real-time processing & analytics for IoT data streams that deliver actions in near real time, combining data streams from IoT sensors, click-streams, logs, and device-generated events and historical records etc. We configure and set-up the key elements needed to complete an IoT stream processing system - the IoT hub, the Stream Processing & Analytics service, combined with IoT Analytics solutions.


Stream Analytics Architecture

Stream Processing Architecture

Design a stream processing & analytics system capable of web-scale IoT, with strong change and release management processes, including:

  • Support for cloud & on-premise
  • Clustered architecture
  • Plug and play support
  • Built in security & audits
Event Hub Set-ups

Event Hub Set-ups

Configure and set-up IoT event hubs, to act as the conduit for incoming data streams and outgoing messages. These include:

  • Event design
  • Scenario definitions
  • Messaging systems
  • Handling data spikes
Data Management

Data Management

Architect real-time stream processing systems capable of massive event handling, encompassing:

  • Sensor & device data ingestion
  • Cloud platform storage
Event Processing

Event Processing

Implement near real time responses to events that can including email, SMS, push notifications, calling a third-party event engine, restful APIs, web services etc.

  • Event queue set ups
  • Dynamic configuration updates
  • Flexible time windows
  • Business workflow triggers
Stream Analytics

Stream Analytics

Extract business value from raw or processing data streams, combining data from the physical world with other sources.

  • AI & machine learning enabled analytics
  • Real time dashboards
  • 3rd party Analytics system integrations
  • Advanced statistical support
  • Real time alerts
Logging & Monitoring

Logging & Monitoring

Monitor the health and performance of the data gathering fabric to ensure guaranteed event delivery with inflow of business relevant data streams. This includes:

  • Event logging
  • Metrics on key indicators
  • Automated checkpoints
  • Compliance adherence


We help enterprises, technology providers and innovative startups build and deploy innovative IoT solutions with high performance IoT stream processing & analytics for generating new revenue streams and reduced operational costs.

Data Monetization

Data Monetization

Process Automation

Process Automation

Smart Monitoring

Smart Monitoring

Why Work With Us

Azure Event Hubs

Breadth of expertise & experience across cloud-enabled apps, analytics, and infrastructure

IoT Data Processing

Domain & subject matter experts Manufacturing, Healthcare, Technology, Retail, Energy, and more.

Azure Stream Analytics

Proven experience & track record delivering successful IoT projects on time and within budget

IoT Data Management

Save through Cost Effective Global Delivery Model