Real-Time
Data Processing

Stream, Process, and Act on Data—As It Happens

At Digital Bricks, we architect and implement real-time data processing pipelines that enable your systems to ingest, process, and respond to live data streams with sub-second latency. From IoT telemetry to transactional events, we help you move beyond batch processing and unlock the full value of immediacy.

Real-time processing isn’t just a speed upgrade—it’s a strategic differentiator for AI-driven operations, automated decisions, and customer-facing systems.

Why Real-Time Data Matters

In today’s dynamic environments, delayed data is lost opportunity. Whether you're optimizing supply chains, responding to customer interactions, or training models on live inputs, the value lies in fresh, contextual, and reactive data.

Real-time processing powers:

• AI agents that respond to live events
• Fraud detection with millisecond response
• Customer personalization based on current behavior
• Predictive maintenance with live sensor data
• Streaming analytics for decision support dashboards

We build tailored real-time processing pipelines using proven tools across the Microsoft and open-source ecosystems.

1. Real-Time Data Ingestion

We integrate with high-throughput sources including:

• IoT devices and edge sensors (via Azure IoT Hub, MQTT, Kafka)
• APIs and event streams (REST, GraphQL, WebSockets)
• Clickstreams and user activity (from web/apps)
• Financial and logistics feeds (FIX, EDI, telemetry brokers)

2. Stream Processing & Event Handling

Data is processed on the fly using stream analytics engines:

• Azure Stream Analytics, Apache Kafka Streams, or Apache Flink
• Custom event logic using Azure Functions, Durable Functions, or serverless workflows
• Complex event processing (CEP) with filtering, joins, temporal windows, and anomaly detection

We build low-latency flows with checkpointing, retry logic, and high availability patterns.

3. Real-Time Outputs

Cleaned, transformed, or enriched data is routed to:

• Dashboards (Power BI real-time tiles, Grafana, custom apps)
• Databases (Cosmos DB, PostgreSQL, Kusto, Redis)
• AI pipelines for immediate inference (Azure ML, Fabric, model endpoints)
• Notifications and automation (email, Teams bots, webhook triggers)

We design our pipelines to support LLM-based agents, copilots, and autonomous decision-making workflows—ensuring your models and systems are always working with the most current data, not stale snapshots.

What You Get

• End-to-end real-time data processing pipeline
• Integration with your data sources and applications
• Stream transformation logic and schema enforcement
• High-availability, fault-tolerant architecture
• Real-time monitoring and alerting dashboards
• Optional AI model triggers and response automation

Why Digital Bricks?

We combine deep data engineering with AI system design, ensuring your real-time data infrastructure doesn’t just move fast—it moves smart.

With expertise across Azure, event-driven architecture, and operational AI systems, we build solutions that are resilient, scalable, and AI-ready from day one.