Fabric Real-Time Analytics

Design real-time Fabric analytics pipelines with Eventhouses, KQL databases, event streams, dashboards, and reflex alerts.

12|4|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/markus41/Claude-m --skill fabric-real-time-analytics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Fabric Real-Time Analytics
Source: https://github.com/markus41/Claude-m/tree/main/fabric-real-time-analytics/skills/fabric-real-time-analytics
Command: npx skills add https://github.com/markus41/Claude-m --skill fabric-real-time-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

In Microsoft Fabric, building and operating real-time analytics pipelines can be complex. This skill provides patterns and tooling to simplify end-to-end streaming data workflows including Eventhouses, KQL databases, Eventstreams, real-time dashboards, and reflex-based alerts.

Core Features & Use Cases

  • Eventhouses and KQL databases for streaming data
  • No-code/low-code Eventstreams to ingest and transform data
  • Real-time dashboards with auto-refresh and cross-filter support
  • Data Activator (Reflex) for automated alerting and workflow triggering
  • End-to-end streaming analytics for telemetry, monitoring, and anomaly detection

Quick Start

Set up a Fabric workspace with an Eventhouse, ingest data via Eventstream, and build a real-time dashboard to visualize streaming data.

Frequently Asked Questions about Fabric Real-Time Analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a real-time analytics pipeline in Microsoft Fabric?

To build real-time analytics in Microsoft Fabric, set up an Eventhouse, ingest streaming data via Eventstreams, and visualize it using auto-refreshing real-time dashboards. This Skill provides ready-to-follow patterns for end-to-end streaming telemetry and monitoring workflows.

What is the best way to set up automated alerts for streaming telemetry in Fabric?

The best way to set up automated alerts for streaming telemetry is using Data Activator (Reflex) to trigger workflows based on event stream conditions. This Skill provides patterns for configuring reflex-based alerts and anomaly detection across Fabric workspaces.

How do I ingest and transform streaming data in Fabric without writing code?

You can ingest and transform streaming data in Fabric without writing code by using no-code Eventstreams. This Skill defines ingestion paths and transformation patterns to route streaming telemetry directly into KQL databases within an Eventhouse.

Can I use KQL databases to query and retain real-time event data in Fabric?

Yes, you can use KQL databases to query and retain real-time event data in Fabric Eventhouses. This Skill provides concrete KQL syntax examples and recommended practices for defining querying, retention, and dashboarding configurations.

Does this approach support operational dashboards with cross-filtering for live data?

Yes, this approach supports operational dashboards with auto-refresh and cross-filter support for live streaming data. This Skill outlines how to build real-time dashboards that visualize telemetry and enable interactive filtering across Fabric workspaces.