Tavant's Accelerator for Microsoft Fabric
5X faster from legacy to live
Tavant’s Fabric Accelerator takes enterprises from an empty Fabric tenant to the first production workload in 2 to 4 weeks. Fabric Accelerator generates the lakehouse, pipelines, data models, security and tests, and verifies each one against Microsoft’s recommended patterns before it goes live.
Pre-built paths cover Synapse, SSIS, Azure Data Factory, ActiveBatch and Power BI Premium migrations, and new builds on Fabric are just as fast. What lands is a data model and permission set ready for Copilot, purchasable through Azure Marketplace against your existing Microsoft commitment.
It’s yours, it’s traceable, and it’s tested: native Fabric items in your own repository with nothing proprietary to license, every artifact traceable back to the requirement that produced it, and 90% of generated tests passing before handover.
Fabric delivery at scale
Fabric dimensions encoded — engines, medallion, security, capacity, CI/CD
to-Fabric migration corridors with honest gap matrices
Microsoft-certified engineers
weeks typical time to first production workload generated-test pass rate, golden-output verified operational CDC freshness via Mirroring — no hand-built ETL
Where are you starting from?
Moving off an older platform
Synapse at end of road, an SSIS backlog nobody wants to touch, or an ActiveBatch estate that still runs the business. We've pre-built the migration paths for all three, plus Azure Data Factory and Power BI Premium.
Building on Fabric from scratch
No legacy to carry, but months of architecture decisions ahead. We've already done the groundwork and can show you the working result before you commit.
Higher cost and vulnerabilities
Higher build cost due to inherent complexities in the data landscape and runtime cost due to unoptimized compute.
Vulnerabilities like weak access controls, governance and compliance shortcomings.
What you get
| Without Tavant’s Accelerator for Microsoft Fabric | Built with Tavant’s Accelerator for Microsoft Fabric | |
| Time to first workload | 3-4 months | 2-4 weeks |
| Architecture quality | Depending on who got staffed on your project | Aligned to Microsoft recommended architecture and patterns |
| Governance and compliance | Retrofitted after the first audit finding | Ensures Day 1 compliance: Generated with the pipeline code – labels, access rules, retention, lineage |
| AI readiness | Copilot added later; results not as expected, can include hallucinations and increase execution cost | Ontology and semantic model with governance ready for Copilot |
| Capacity cost | Usually done heuristically without grounding in evidence | Sized from your real workloads before you commit |
| Human dependency | Person dependent and limited to their skillset | Deep knowledge base with Fabric specific details around 41 rubrics and more than 100 sub-rubrics ensures there are no holes in the implementation |
How we support migrations
We have well established migration corridors to handle the inherent impedance mismatch between source platform and Microsoft Fabric. This is based on sound data engineering principles and rubrics, so any new corridor can be added in a matter of days. Few examples below:
| Moving from | What we handle |
| Azure Synapse | Pools, notebooks and pipelines consolidated onto Fabric |
| Azure Data Factory | Pipeline activities converted to their Fabric equivalents |
| SSIS | Packages parsed for logic and data-quality rules, rebuilt as tested pipelines |
| ActiveBatch | Scheduled job estates re-expressed as Fabric orchestration |
| Power BI Premium | P-SKU to F-SKU transition, paced against your renewal date |
| Databricks | Notebooks, Delta Live Tables and Workflows rebuilt on Fabric – Delta tables shortcut into OneLake, not recopied |
Service offerings
Assessment
In three to four weeks you get a phased, costed plan for moving onto Fabric, built on a workload-by-workload count of what you run today, and sized to the capacity you’ll genuinely need rather than a guess. It’s yours to keep and act on, with us or with anyone else.
Implementation and Migration
Fixed-scope delivery from the assessment. First production workload in 2-4 weeks, everything generated into your own Git repository.
Managed Fabric Services
Ongoing operation, monitoring and capacity optimization once you’re live. Fabric capacity costs drift as workloads grow, and most in-house teams have no baseline to spot it. We hold the baseline.
What an engagement look like
Assessment
We inventory your estate, classify it workload by workload, and size your Fabric capacity against real usage
Setup
A repeatable runbook takes your tenant from empty to first live workload, with every step reversible
Build
Workloads are generated and verified; anything that breaks Fabric conventions is blocked before release
Parallel Run
We reconcile against your existing platform, so parity is proven before cutover
Handover
Everything lands in your Git, with an AI-readiness score and a roadmap for what comes next
Fabric accelerator on Azure marketplace
Our Fabric offers are available as packaged engagements through Azure Marketplace, purchasable against existing Microsoft commitments, with defined scope and timeline.
FAQs
Yes. Standard Fabric items in your own repository, with no runtime license and nothing proprietary left behind.
First workloads typically reach production in 2-4 weeks. Full timelines depend on the size of your estate, which the assessment establishes before we quote.
We size your F-SKU from your actual workload profile during the assessment, before you commit. Undersizing and oversizing are both common and expensive. We also continuously monitor the workloads and suggest re-sizing if needed.
We list them up front, per workload, and scope them into the plan. Connections, data flows and authentication almost always need hand-rebuilding.
Usually. The missing piece is nearly always the semantic model underneath, which we generate as standard.
Databricks, Snowflake and AWS Glue.