Sub-Second Latency

Real-Time Analytics.
Deployed in a Day.

We set up Eventstreams, KQL databases, and live dashboards in your Microsoft Fabric tenant. AI scaffolds the infrastructure. A Dual Microsoft MVP tunes it for your data.

$8,000 one-time
Dual Microsoft MVP Fabric Real-Time Intelligence Sub-Second Queries Production-Ready
4
Use Case Templates
< 1s
Query Latency
1 day
Deployment Time
30 days
Post-Deploy Support
Built by enterprise practitioners
Microsoft MVP — Data Platform
Microsoft MVP — AI
FabCon 2026 Speaker
20+ Years Enterprise

Why Real-Time Matters

Batch processing gives you yesterday's answers. Your business needs to react now.

Hours-Old Data

Batch pipelines run overnight. By the time your dashboard refreshes, the moment to act has passed. Anomalies go undetected for hours.

🚨

Missed Alerts

Without streaming analytics, critical events — failed transactions, device failures, traffic spikes — sit unnoticed in a queue until the next ETL run.

💸

Infrastructure Sprawl

Teams bolt on Kafka, Spark Streaming, custom code, and separate dashboards. Costs climb while reliability drops. Fabric unifies it all.

Four Battle-Tested Scenarios

Pick the template that fits your data. We customize it during the working session.

📡

IoT Telemetry

Device sensors, readings, anomaly detection, and 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, and engagement tracking.

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

Transaction Monitoring

Payment flows, fraud signals, and revenue tracking in real time.

  • RawTransactions → Validated → FraudAlerts
  • Velocity checks + threshold-based rules
  • Revenue-per-minute materialized view
  • Live transaction volume dashboard
📊

Operational Dashboards

Application logs, system health, SLA monitoring, and error tracking.

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

Everything to Go from Zero to Real-Time

A complete streaming analytics stack, deployed and documented in a single day.

Eventstream Pipeline

Ingestion stream configured in your Fabric workspace. Connect Event Hubs, IoT Hub, custom apps, or Kafka. Data flowing in minutes.

💾

KQL Database (Eventhouse)

Provisioned with typed tables, retention policies, hot cache configuration, and streaming ingestion enabled. Optimized for your volume.

📈

Real-Time Dashboard

Production-ready KQL queries for live stream, top-N, trend, and distribution visualizations. Pinned to a Fabric Real-Time Dashboard.

🔔

Alerting Rules

Threshold-based and anomaly-detection alerts configured via Activator. Get notified in Teams, email, or Power Automate when conditions trigger.

ETL Functions + Update Policies

KQL stored functions auto-transform raw data on ingestion. Multi-layer table architecture with no manual ETL needed.

📄

Architecture Documentation

Data flow diagram, table specs, function docs, alerting rules, and deployment guide. Complete handoff for your team.

The Streaming Pipeline

From raw events to live dashboards — all within Fabric, no external infrastructure.

DATA SOURCESEVENTSTREAMKQL DATABASEDASHBOARD
  Event Hub              Ingest + route           RawEvents                 Real-Time Dashboard
  IoT Hub                Filter + transform       ParsedEvents (update)     Activator Alerts
  Custom App / REST      Fan-out to targets       Materialized Views        Teams / Email
  Kafka                  Dead-letter queue        Retention + caching       Power Automate
        

Four Steps. One Day to Streaming.

1

Discovery Call

30-min call to understand your data sources, event schemas, volume, and latency requirements. We pick your scenario template.

2

AI-Assisted Scaffold

We generate Eventhouse, tables, policies, functions, materialized views, and dashboard queries from your scenario template.

3

Working Session

4-hour hands-on session with a Dual Microsoft MVP. We tune schemas, connect your sources, configure alerts, and validate end-to-end.

4

Deploy + Handoff

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

What Ships at the End of the Day

  • Eventhouse + KQL Database provisioned in your workspace
  • Eventstream ingestion pipeline configured
  • Multi-layer table architecture with typed schemas
  • Retention, caching, and streaming policies tuned
  • ETL functions + automatic update policies
  • Materialized views for common aggregations
  • Real-Time Dashboard with live queries
  • Activator alerting rules configured
  • Architecture documentation + data flow diagram
  • 4-hour working session with Dual MVP

One Price. Everything Included.

Real-Time Analytics Accelerator
$8,000 one-time
Complete streaming analytics stack, deployed and documented in a day.
  • Eventhouse + KQL Database provisioned
  • Eventstream ingestion pipeline
  • Multi-layer table architecture with typed schemas
  • Retention, caching, and streaming policies
  • ETL functions + automatic update policies
  • Materialized views for common aggregations
  • Real-Time Dashboard with live queries
  • Activator alerting rules
  • Architecture documentation
  • 4-hour working session with a Dual MVP
  • 30-day support (2 follow-up calls)
Get Started — $8,000

Secure checkout via Stripe. You'll receive an intake questionnaire after payment.

Bundle & Save

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

$22,000 instead of $23,000

Architecture ($15,000) + Real-Time ($8,000) — Save $1,000

View Bundle →

Preview Your Deliverables

Every Real-Time Analytics Accelerator engagement includes three professional deliverables — see a sample below.

📊

HTML Dashboard

Interactive scored report with findings, severity ratings, metrics, and recommendations. Dark-themed, print-ready.

📑

Executive Deck

PowerPoint summary for leadership — score, key findings, recommendations, and next steps. Ready to present.

📄

Word Summary

Detailed written report with findings table, remediation steps, and priority recommendations. Shareable with stakeholders.

Sample uses anonymized data for demonstration purposes

Common Questions

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

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

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.

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

Bundle with our Fabric Architecture Accelerator ($15,000) for a complete batch + real-time platform. The combo gives you medallion lakehouse + streaming — save $1,000 on the bundle at $22,000.

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.

Stop Waiting for Batch. Go Real-Time.

Your data is moving. Your analytics should keep up.

CLIENT RESULTS

Results from Recent Engagements

Fintech

Sub-second fraud detection

Moved from 15-minute batch alerts to real-time Eventstream processing with KQL anomaly detection. Fraud flagged in <500ms.

15min → 0.5s latency

Transportation

Live fleet visibility

Built Eventhouse ingesting 50K GPS events/sec with real-time Power BI dashboards for 300+ dispatchers.

50K events/sec processed

Retail

Real-time inventory sync

POS transactions streaming into Fabric via Event Hubs. Store managers see stock levels update within 2 seconds across 150 locations.

150 stores, 2s refresh

This accelerator is built for teams that

Need sub-second latency dashboards

Operations, trading desks, or IoT monitoring teams that can't wait for batch refreshes.

Are evaluating Eventstreams + KQL

Want a production-grade reference implementation instead of starting from scratch with docs.

Have streaming data sources ready

Event Hubs, IoT Hub, Kafka, or CDC feeds — you have the data, you need the Fabric pipeline.

Want it deployed in a day, not a quarter

AI scaffolds the infrastructure, an MVP tunes it. You're live with real-time analytics fast.

Explore Our Other Offerings

Each engagement is standalone — or bundle them for deeper savings.

Compare All Pricing →
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