Analyze and act on live telemetry in milliseconds— without writing custom code.
Move from batch reporting to instant operational intelligence. Ingest IoT, logs, and streaming events into Microsoft Fabric for real-time dashboards and automated actions.
"Most vendors build complex, brittle pipelines that require dedicated engineering teams just to keep streams running. We do the opposite: stream, analyze, and act on billions of events natively in Fabric — bridging the gap between insight and automated operational action instantly."
Sound familiar?
- Batch processing is too slow for operational monitoring
- Streaming architectures (Kafka/Spark) require heavy engineering
- Alerting systems are disconnected from the actual data source
- IoT and telemetry data overwhelm traditional SQL databases
- Struggling to join real-time streams with historical batch data
- Anomalies in operations are found hours after they occur
What's included
- Eventstream ingestion architecture & setup
- High-performance KQL (Kusto) database design
- Real-time automated alerting via Data Activator
- IoT & telemetry data pipeline integration
- Seamless OneLake integration for historical lookbacks
- Live Power BI dashboard development
- Query performance tuning for high-concurrency
- Engineering training on KQL and stream processing
Manufacturing Telemetry Pipeline
A regional manufacturing plant struggled with machine downtime. We implemented Fabric Eventstream and KQL Database to ingest sensor data from 1,200 machines. Data Activator now triggers predictive maintenance alerts before critical failures happen.
Who this is for
Core Industries
Target Buyers
Delivery Timeline
From event stream ingestion to live dashboards
Stop waiting on batch processing.
Book a 30-minute conversation. We'll review your telemetry volume, discuss your operational goals, and outline how quickly we can implement a real-time intelligence layer — at no cost and no commitment.