Microsoft Fabric Consulting Services
Turn Microsoft Fabric into a governed, AI-ready data platform.
XTIVIA has been delivering Fabric since before general availability — architecture, migration, governance, and hands-on remediation across OneLake, Data Factory, Real-Time Intelligence, and Power BI.
Platform
One copy of your data in OneLake
We consolidate warehouses, lakes, and scattered Power BI models onto Fabric — with governance, capacity control, and DevOps in place from day one.
OneLake
One tenant-wide data lake and one copy of the truth — shortcut to data instead of duplicating it.
Lakehouse & Warehouse
Delta-native medallion design that serves T-SQL and Spark from the same storage.
Governance
Domains, workspace standards, Purview lineage, and sensitivity labels that hold up at scale.
Capacity & FinOps
F-SKU right-sizing, throttling visibility, and cost guardrails that keep spend predictable.
Offerings
Where we plug in
A fixed-scope assessment, a greenfield build, or an embedded team beside yours — choose the level of support that matches where you are today.
Advisory & Roadmap
Licensing, F-SKU sizing, and a costed roadmap built around the Microsoft estate you already own.
Greenfield Implementation
Workspaces, medallion Lakehouse, ingestion framework, and DevOps stood up in the first sprints.
Migration & Modernization
Move off Azure Data Factory, Synapse, SSIS, and legacy warehouses without pausing the business.
Health Check & Remediation
Assess an existing tenant, prioritize the gaps, then fix them with our engineers alongside yours.
Managed Fabric Services
Ongoing administration, monitoring, and capacity tuning by certified Microsoft consultants.
AI Enablement
Copilot, Fabric data agents, and the governed data foundation they depend on to be trusted.
Capabilities
Every Fabric workload, end to end
Our expertise spans the whole platform, so the architecture decision is never constrained by which workload we happen to know.
Power BI
Interactive dashboards and governed semantic models, with one agreed definition per metric.
OneLake
The single source of truth across every Fabric workload — no silos, no duplicate copies.
Data Factory
Pipelines, Dataflows Gen2, and database mirroring that move data at enterprise scale.
Data Engineering
Spark notebooks and Lakehouse transformations built to a standard, not per pipeline (formerly Synapse Data Engineering).
Data Warehouse
Full T-SQL warehousing directly on OneLake’s open Delta Lake format (formerly Synapse Data Warehouse).
Data Science
Build, deploy, and operationalize machine learning models with tracked experiments (formerly Synapse Data Science).
Real-Time Intelligence
Eventstreams, KQL databases, and time-series insight for streaming use cases (formerly Real-Time Analytics).
Activator
No-code rules that turn a threshold crossing into an alert or an action (formerly Data Activator).
Microsoft Purview
End-to-end governance: catalog, lineage, sensitivity labels, and policy across the estate.
Ready to get more from Microsoft Fabric?
Talk to an XTIVIA Fabric architect about your environment — no obligation, no pressure.
Schedule a Free ConsultationWhy it works
Four things every program gets right
The difference between a Fabric estate that pays off and one that stalls at the pilot is rarely the technology.
Architected first
Workspace, domain, and capacity design before the first Lakehouse.
Governed by default
Purview lineage, Entra groups, and labels from day one.
Cost under control
F-SKU right-sizing and throttling visibility that hold spend flat.
AI in production
Copilot and agents on a foundation they can be trusted on.
XTIVIA Fabric Maturity Assessment
We built the assessment the market was missing
Our consultants ran enough Fabric health checks to see the same gaps in every environment — so we turned that experience into a free tool. Under ten minutes, no login, instant score.
Overall Architecture
Workspace organization, environment strategy, and capacity planning.
Fabric Item Architecture
Lakehouse design, ingestion patterns, and data modeling.
Governance
Policies, data quality, lineage tracking, and compliance.
Security
Workspace access controls, tenant settings, and network security.
DevOps
Version control, promotion workflows, and environment configuration.
What you get, instantly
- A maturity score from 0–100 with a radar-chart breakdown across all five dimensions.
- Prioritized, personalized recommendations for your environment.
- A clear picture of where to focus next — governance, security, or DevOps.
Explore the Benefits of Microsoft Fabric and Lakehouse Architecture with XTIVIA: Enhanced Data Management, Scalability, Real-Time Analytics, and AI-Powered Insights
Signature offering
Migrating onto Fabric.
Azure Data Factory, Synapse, SSIS, or an on-prem warehouse you have outgrown — the destination is the same and so are the landmines. We have run this enough times to know where they sit.
- 01
Discover & assess
Inventory every Azure Data Factory pipeline, Synapse artifact, SSIS package, semantic model, and report — with owners and real usage attached.
- 02
Architect the target
Workspaces, domains, medallion Lakehouse, F-SKU capacity, and naming standards agreed before anything gets built.
- 03
Build the ingestion framework
One reusable, observable ingestion pattern, so pipeline two hundred looks like pipeline one and errors are handled the same way.
- 04
Migrate in waves & validate
Convert workloads by domain, run in parallel, and reconcile the numbers before anyone is asked to switch.
- 05
Govern, monitor & hand over
Git-backed deployment pipelines, capacity and freshness monitoring, and a team trained to run it without us.
What we see in the field
The 12 Fabric anti-patterns we find in nearly every assessment
Most organizations score against four to six of these on the first pass. That is the baseline — what matters is which ones you fix first, and whether they reappear six months later.
The One Workspace Trap
Everything in one workspace, with no separation between development, test, and production.
Weak Naming Conventions
Arbitrarily named items break discoverability and make OneLake browsing chaotic at scale.
No Version Control
Fabric items outside Git: no history, no rollback, no code review.
Capacity Blindness
No insight into F-SKU utilization, so throttling surprises production and over-provisioning inflates cost.
Hardcoded Credentials
Connection strings and secrets embedded directly in notebooks and pipelines.
Individual Account Access
Permissions granted to people instead of Entra ID groups, so offboarding becomes an audit.
Unreviewed Tenant Settings
Microsoft defaults left as shipped — export, external sharing, and embedding all need evaluation.
No Data Ownership
No domain owners or stewards, so quality issues have no resolution path.
Semantic Model Sprawl
Several models per subject area, each with a different definition of the same metric.
Ad Hoc Ingestion
Every pipeline a bespoke pattern, so observability and error handling stay inconsistent.
No Data Quality Strategy
Data lands with no validation layer, and bad rows reach reports undetected.
Reactive Monitoring
Alerts configured after the first outage, never before it.
Resources
Guides & field notes
Practical Fabric writing from the consultants who run the assessments and the remediation work.
Guide
Microsoft Fabric Maturity Assessment: A Practitioner’s Guide
Guide
Fabric Planning Assessment: How to Avoid Costly Deployment Mistakes
Guide
12 Microsoft Fabric Anti-Patterns Every Data Architect Should Avoid
Blog
Microsoft Fabric vs. Power BI Desktop: Which Is Right for Your Business?
Blog
Why SQL Server 2025 Is AI-Ready with Microsoft Fabric
Blog
Microsoft Fabric Project Planning Tips & Checklist
Let's Talk Today!
No obligation, no pressure. We're easy to talk with and you might be surprised at how much you can learn about your project by speaking with our experts.
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Additional offices in New York, New Jersey, Texas, Virginia, and Hyderabad, India.
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