Full-stack Fabric coverage
Lakehouse and Warehouse, Real-Time Intelligence, Data Science, Power BI semantic modeling, Fabric IQ ontologies, and Data Agents — under one roof.
Stark Informatics is a specialist consultancy for Microsoft Fabric and Power BI. We design, build, and operationalize lakehouses, real-time pipelines, semantic models, and AI agents — with accelerators that get you to value in weeks, not quarters.
Hover any bubble to see what it does. Click to open the guide. The web shows how every item connects back to OneLake and the workloads above it.
Built on the platforms your stack already runs on
Every engagement is led by a hands-on principal who has built the patterns we teach. No bait-and-switch staffing, no PowerPoint-only deliverables.
Lakehouse and Warehouse, Real-Time Intelligence, Data Science, Power BI semantic modeling, Fabric IQ ontologies, and Data Agents — under one roof.
Battle-tested templates: medallion lakehouse, deployment pipelines, governance baseline, real-time anomaly detection, RLS patterns — yours to keep.
Every engagement ends with code, docs, runbooks, and an enablement workshop. Your team owns the outcome — we just got you there faster.
Most engagements follow this four-phase rhythm. Fixed-scope or time-and-materials — your call.
Two-week assessment of your current data estate, Fabric capacity, and the outcomes you need. Output: an annotated architecture and a phased plan.
Medallion model, domain layout, semantic model contracts, security boundaries, and CI/CD blueprint — reviewed with your platform and security teams.
We build the production system alongside your team using Stark Informatics accelerators. Daily standups, weekly demos, and source-controlled deliverables.
Hands-on workshops, runbooks, and a 90-day support window. Your engineers leave the engagement able to extend the solution without us.
Each accelerator is an opinionated, documented, repo-ready solution package — code, infrastructure, semantic models, and a deployment guide.
Bronze/Silver/Gold lakehouse skeleton with notebooks, deployment pipelines, RBAC, and a metadata-driven pipeline framework.
Open acceleratorEvent Hubs → Eventstream → Eventhouse with ML-based anomaly scoring and Activator alerts to Teams and Power Automate.
Open acceleratorConfigured Fabric Data Agent over a Finance semantic model with curated example queries, instructions, and Teams embed.
Open acceleratorTenant settings baseline, workspace taxonomy, deployment pipeline templates, and a usage-monitoring semantic model.
Open acceleratorMigration assessment workbook, parallel-run lakehouse, plus a workload remap for SQL pools, Spark pools, and pipelines.
Open acceleratorCapacity Metrics report, throttling early-warning Activator, and chargeback model by workspace and domain.
Open acceleratorStreaming sensor data through Eventstream into an Eventhouse, with Power BI Real-Time Dashboards and Activator alerts that page on-call leads when machines drift out of band.
Mirrored EHR database into OneLake, a curated semantic model with row-level security by department, and a Data Agent that answers natural-language questions from Teams.
Replaced a nightly ETL chain with Direct Lake semantic models on the medallion lakehouse — cutting close from 8 hours to 25 minutes with no Power BI refresh changes.
Fabric Data Science notebooks feeding Operations Agents that draft purchase orders into the ERP via Power Automate, with humans approving in Teams.
“We went from a tangle of pipelines to a clean medallion lakehouse and a Direct Lake semantic model in six weeks. The Stark Informatics team handed us deployment scripts and a Wednesday-morning runbook — our team has owned it ever since.”
VP of Data & Analytics, Fortune 500 manufacturer
Tell us where you are and where you need to be. Most discovery calls take 30 minutes — and you'll leave with a clearer view of your next two quarters, whether or not we work together.