Real-Time Analytics Accelerator

The streaming pipeline we build

From raw events to real-time dashboards — all within Fabric, no external infrastructure needed.

Data Sources          Eventstream            Eventhouse / KQL
┌──────────┐       ┌─────────────────┐      ┌────────────────────┐
│ Event Hub │─────▶│                 │─────▶│ RawEvents         │
│ IoT Hub   │─────▶│ Ingestion       │      │ ↓ update policy   │
│ REST API │─────▶│ Stream          │      │ ParsedEvents      │
│ Kafka     │─────▶│                 │      │ ↓ function       │
└──────────┘       └─────────────────┘      │ Alerts / Rollups   │
                                                 │                     │
                                                 │ Materialized Views │
                                                 └─────────┬──────────┘
                                                           ▼
                                                 Real-Time Dashboard

Pick your scenario

Three battle-tested templates. Each includes tables, policies, functions, materialized views, and dashboard queries.

📡 IoT Telemetry

Device sensors, readings, anomaly detection, alerts

RawTelemetry → ParsedTelemetry → DeviceAlerts
Anomaly detection via percentile functions
Hourly device stats materialized view
Live telemetry stream dashboard

🖱️ Clickstream Analytics

Page views, sessions, user behavior, engagement

RawEvents → PageViews → UserSessions
User-agent parsing + geo enrichment
Hourly page stats + daily session rollups
Active users real-time counter

📋 Application Logs

Structured logging, error tracking, performance monitoring

RawLogs → ParsedLogs → ErrorEvents
Exception type extraction + aggregation
Error rate trend materialized views
Live log stream + top exceptions dashboard

What's included

Everything you need to go from zero to real-time analytics in one engagement.

🏗️

Eventhouse + KQL Database

Provisioned in your Fabric workspace with proper naming and descriptions. Ready for data.

📊

Table Schema + Policies

Tables with typed columns, retention policies, hot cache configuration, and streaming ingestion enabled.

🔄

Eventstream Pipeline

Ingestion stream created and configured. Connect your Event Hub, IoT Hub, or custom app.

⚡

ETL Functions + Update Policies

KQL stored functions auto-transform raw data on ingestion. No manual ETL needed.

📈

Materialized Views

Pre-computed aggregations for common patterns — hourly stats, daily rollups, trend analysis.

🖥️

Dashboard Queries

Production-ready KQL queries for live stream, top-N, trend, and distribution visualizations.

📄

Deployment Scripts

Versioned .kql files + bash deploy script. Run once to deploy, commit to git for CI/CD.

🗺️

Architecture Documentation

Data flow diagram, table specs, function docs, and deployment guide. Complete handoff.

How it works

Four steps. One day. Production-ready streaming.

Discovery

30-min call to understand your data sources, event schema, volume, and latency requirements.

Scaffold

AI generates Eventhouse, tables, policies, functions, and materialized views from your scenario template.

Customize

4-hour working session with an MVP. We tune schemas, connect your sources, and build your dashboard.

Deploy

Scripts deployed to your tenant. Architecture docs delivered. 30-day support with 2 follow-up calls.

Simple pricing

One scenario, fully deployed. No hourly billing.

$10,000 one-time

Eventhouse + KQL Database provisioned
Eventstream ingestion pipeline
3-layer table architecture with typed schemas
Retention, caching, and streaming policies
ETL functions + automatic update policies
Materialized views for common aggregations
Real-time dashboard starter queries
Deployment scripts (.kql + bash)
Architecture documentation
4-hour working session with MVP
30-day support (2 follow-up calls)

Bundle & Save

Combine with Fabric Architecture Accelerator for batch + real-time in one engagement.

$22,500 instead of $25,000

Architecture Accelerator ($15,000) + Real-Time ($10,000) = Save $2,500

Frequently asked questions

Do we need Fabric capacity?

Yes. Eventhouse requires at least an F2 SKU with Real-Time Intelligence enabled. We can help you determine the right capacity during the discovery call.

What data sources can you connect?

Eventstream supports Azure Event Hubs, IoT Hub, custom apps (REST), Kafka, and sample data generators. We connect your source during the working session.

How much data can this handle?

Eventhouse is built on Kusto (Azure Data Explorer) and can handle billions of events. The policies we configure (retention, caching, streaming ingestion) are tuned for your expected volume.

Can we customize the scenario templates?

Absolutely — that's what the 4-hour working session is for. The templates are starting points. We'll adapt table schemas, functions, and materialized views to your actual event structure.

What if we also need batch processing?

Bundle with our Fabric Architecture Accelerator ($15,000) for a complete batch + real-time lakehouse. The combo gives you medallion architecture + streaming — save $2,500 on the bundle.

Can you also build the Power BI dashboards?

We deliver KQL dashboard queries ready to use in Fabric Real-Time Dashboards. For full Power BI report development, we offer follow-up engagements starting at $5,000.

Real-time intelligence, deployed fast