Microsoft Solutions Partner · Data and AI
The teams that succeed with it pick patterns that scale. The rest get a surprise capacity bill. Twenty years on the Microsoft data stack tells us which is which.
Recognized by
Microsoft
Fabric workloads we ship
Lakehouse
OneLake-native storage combining files and Delta tables for batch analytics.
Warehouse
Fully managed T-SQL warehouse for relational analytics and reporting.
Notebook
Spark notebooks for data engineering, exploration, and ML workflows.
Pipeline
Orchestrated data movement and transformation across sources and stages.
KQL DB
Real-time analytics over event and telemetry data with sub-second queries.
Eventstream
Streaming ingestion from IoT, Kafka, and SaaS sources into Fabric.
Real-Time Dashboard
Live tiles built directly on KQL for operational monitoring.
Semantic Model
Curated business layer that powers self-service Power BI consistently.
Power BI
Self-service analytics, governed dashboards, and pixel-perfect reporting.
Dataflow Gen2
Power Query at cloud scale, refreshed on schedule into OneLake.
Every Fabric platform we ship is layered Bronze → Silver → Gold. Raw data lands once, gets cleansed and conformed in the middle, and surfaces as governed business-ready models. The same pattern works for batch, streaming, and real-time workloads.
Source data ingested as-is via Pipelines, Eventstreams, and Dataflows. Schema preserved, history retained.
Deduplicated, typed, joined across sources. The trustworthy foundation every downstream model can rely on.
Curated semantic models, KQL databases, and warehouses serving Power BI, Real-Time Dashboards, and apps.
Built on OneLake. Refreshed by Pipelines and Eventstreams on the cadence each layer needs.
01 — How we help
Most engagements combine all three. We architect the platform, ship the reports, and train your team to own it.
End-to-end Fabric platforms, from OneLake architecture and Eventhouse ingestion through to governed semantic models and Power BI delivery.
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Semantic model design, DAX optimization, and enterprise rollout. Twenty years of analytics experience baked into every report.
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Official Microsoft courses and custom workshops by a Microsoft Certified Trainer. Hands-on labs and Microsoft Learn recognition included.
→02 — Our difference
Solutions Partner for Data and AI, Learning Partner, and Microsoft Certified Trainer credentials. The official path, not a workaround.
We’ve worked through every iteration of the Microsoft data stack, from SQL Server Analysis Services to Fabric. We know what lasts and what doesn’t.
Our methodologies are published openly through our LinkedIn series. You see how we work before you hire us.
Local presence for in-person workshops, remote delivery for clients across the continent.
03 — From the blog
Most data teams considering Microsoft Fabric training go straight to DP-600 or DP-700. There is a quieter catalog underneath it that fits most teams better: one-day courses (DP-601, DP-602) and Microsoft Applied Skills credentials. Here is when to pick which.
Naming conventions are the thing every Fabric project starts with good intentions and abandons by month three. The fix is not better discipline. It is AI as a deterministic enforcement layer. Here is the standard I use on every project, in five rules.
Most of what is written about AI in data work falls into two buckets: AI will replace developers within two years, or AI is glorified autocomplete. Both are wrong. After months of daily use on Microsoft Fabric engagements, the honest answer is that AI is not a people replacement but a power multiplier, and like…
04 — Get in touch
Tell us about your project, your team, and your timeline. We’ll respond within two business days.