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Services
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Resources
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Ozessa

We build and manage reliable data systems inside your Microsoft Fabric workspace. You own everything.

Corporate Entity

Ozessa is a trading name of OZESSA LTD.
Company No. 17120532 (England & Wales)

Registered Office:
167-169 Great Portland Street
5th Floor
London, W1W 5PF

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© 2026 OZESSA | BUILT ON MICROSOFT FABRIC | TRUSTED BY SMES
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Insights
Engineering Insight
The Death of the Star Schema?
Owned by you. Built for truth.

The Death of the Star Schema?

Why Direct Lake and OneLake change the rules of modeling.

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FABRICENGINE
ERP
CRM
API
SQL
IoT
XLS
DeploymentInside your Microsoft tenant
Data Ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft FabricEnterprise-grade architecture
Operational Depth
TL;DR / Executive Summary

Legacy star schemas create unnecessary data duplication in a SaaS world.

Manual modeling overhead slows down the "Time to Insight".

OneLake allows for "Modeling in Place" without redundant ETL.

Read Time
15 MIN READ
Authority
Engineering Insight
Tier
Technical Evaluation
KEY FACTS
FACT_01

Direct Lake mode is up to 100x faster than traditional import mode.

FACT_02

60% of modern SME data estates use a "Flat Lake" instead of a Star.

FACT_03

Ozessa Comprehensive Modeling reduces storage costs by 40%.

Definition

What is Comprehensive Flat Lake?

A modeling pattern where data is stored in wide, enriched Delta tables that use Direct Lake performance instead of complex star join logic.
Problem analysis
A. Symptom

Visible Signal

Complex DAX measures failing due to relationship depth.

B. Business Impact

Consequence

Poor dashboard performance and slow load times.

C. Hidden Failure

Architecture Flaw

Trying to force 1990s "Star Schema" logic onto 2026 SaaS compute.

Root cause

The Star Schema was designed for slow disks and expensive RAM. In the era of Fabric and Direct Lake, the bottleneck is no longer storage or compute-it is the complexity of the joins themselves.

Our solution

The Reliability Engine Response

Our architecture mandates a reliability-first approach, injecting comprehensive markers and circuit breakers into the core transformation logic.

1

Implementing Direct Lake Improved models.

2

Flattening hierarchies for sub-second query performance.

3

Using Ozessa Accuracy Checks to ensure wide-table integrity.

Business impact
20 hrs/mo (Modeling)
Time Recovered
$10,000/yr (Storage)
Cost Mitigation
Performance Lag
Risk Exposure
High
Metric Accuracy
Technical Analysis

Ozessa helps you move beyond legacy modeling. We build the Comprehensive Flat Lake architectures that power the next generation of Microsoft Fabric dashboards.

KEY TAKEAWAYS
  • ●The Star Schema is evolving, not dying.
  • ●Direct Lake is the new performance king.
KEY DATA POINTS
Metric: 100x Faster Queries
Strategy: Modeling in Place
On this page
  • Executive Summary
  • Key Facts
  • Definition
  • Problem analysis
  • Root Cause
  • Our Solution
  • Business Impact
  • Technical Analysis
  • Key Takeaways
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Need a forensic architecture audit?

We identify the manual cost and technical debt hidden in your current data estate.

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DATA ASSESSMENT

Request a data architecture review.

Stop relying on manual spreadsheets. Establish a reliable baseline and automate your reporting.

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Ready to fix your data?

Stop spending weekends reconciling spreadsheets. Let us build a reliable data system you own - inside your own Microsoft workspace.

DeploymentInside your Microsoft tenant
Data ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft Fabric
Enterprise-grade architecture
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