Why do Microsoft Fabric migrations take months to plan?

Because inventorying thousands of objects and tracing dependencies by hand, across Teradata, Oracle, Netezza, SQL Server, PostgreSQL, Db2, or Synapse estates, is often a full quarter of work before a single migration decision gets made. 3X Data Engineering's MigrateTo Fabric accelerator reads the source estate directly instead: in one run it scored an 8,640-object estate at 6,912 auto-migratable and 1,728 needing review, turning a 5-plus week manual assessment into a complete blueprint in 3 to 5 days.

Why are companies migrating off Azure Synapse now?

Because Microsoft put Azure Synapse Dedicated SQL Pools on a retirement path, forcing teams who hadn't planned a timeline to move faster than intended, often with no roadmap or clear view of what the migration involves. That kind of deadline-driven migration carries more risk than a planned one: there's less room to properly assess the estate before committing to a target architecture.

How do you choose between a Fabric Lakehouse and Warehouse?

It depends on what the workload actually does: batch SQL-heavy processing generally suits Warehouse, flexible or unstructured workloads suit Lakehouse. Making that call by hand across thousands of objects is largely guesswork without knowing what the underlying code contains, though. MigrateTo Fabric analyzes the actual source workloads and recommends Lakehouse-versus-Warehouse placement per object as part of its architecture output, grounded in what the code does rather than a guess.

Is Microsoft Fabric expertise hard to find internally?

Yes, and it's a real constraint, not just a hiring preference. Fabric is new enough that few teams have DP-600 or DP-700 certified architects able to confidently make Lakehouse-versus-Warehouse, OneLake design, or Spark-versus-T-SQL calls. 3X Data Engineering's MigrateTo Fabric accelerator embeds that expertise directly into its architecture output, so the target design reflects Fabric-specific best practices without the internal team needing to have built that specialization first.

How do you know a Fabric migration is ready to go live?

Not just "the code compiles." Readiness depends on whether every object has been validated against the target platform and whether there's a concrete deployment plan behind the converted code. MigrateTo Fabric delivers a cutover checklist, an explicit readiness score, 8.1 out of 10 on a recent 8,640-object estate, and a wave-based roadmap, so go-live is a documented decision, not a judgment call under deadline pressure.

Is it possible to get a full Fabric migration plan before committing to it?

Yes, and it happens before any code conversion starts. 3X Data Engineering's MigrateTo Fabric accelerator's assessment phase runs directly against the source estate, producing object-level metadata, a tailored effort estimate, and a full migration advisor canvas, program plan, architecture direction, roadmap, in 3 to 5 days. The commitment decision ends up based on a concrete document, not a vendor's verbal estimate.

What steps does a proper Microsoft Fabric migration actually go through?

Assessment, domain segregation, complexity scoring, architecture design, code conversion, then validation, in that order. Skip straight from "we need to move to Fabric" to writing conversion code and you tend to miss architecture decisions that are expensive to unwind later. The sequence matters more than the speed of any individual step.

3X MIGRATETO FABRIC

Migrate to Microsoft Fabric in Days

Enterprise migrations to Microsoft Fabric stall when teams underestimate legacy complexity, platform differences, and architecture redesign effort. 3X MigrateTo Fabric delivers AI-powered assessment, target architecture design, and automated code conversion from any source platform to Fabric, with complete migration blueprints delivered in days, not months.

Synapse

Dedicated SQL

SQL Server

On-prem / Azure

Oracle

PL/SQL

Teradata

Migrate Teradata EDW SQL, BTEQ scripts and stored procedures to Microsoft Fabric

MigrateTo Fabric

AI-Powered Migration Accelerator

Microsoft Fabric

Program Planning

Discovery and Assessment

Comprehensive Program Plan

Tailored Effort Estimation

Solution Design

Fabric Optimized Architecture

Solution and Data Models

Technical Specifications

Data Pipeline

Intelligent Code Generation

Automated Code Conversion

Test Strategy

3 - 5 DaysFirst migration blueprint generated

4+Source platforms supported

5 phasesAssessment through validation

25+ YearsPlatform migration expertise embedded

How 3X MigrateTo Fabric Works

A six-stage intelligent pipeline that discovers, converts, and validates your entire data estate for Microsoft Fabric automatically.

Accelerate Microsoft Fabric Migrations with AI-Powered Assessment & Code Conversion

YOUR LEGACY DATA ESTATE

3X MIGRATETO FABRIC

DELIVERABLES

Azure Synapse

SQL Server

Teradata / Oracle

Snowflake / BigQuery / Redshift

Other Data Platforms

Time consuming manual assessments
Unknown migration complexity
1000s of objects
Lack of internal expertise & resources

Direct Source Assessment

Data Domain Segregation

Object Complexity Scoring

Fabric Architecture Design

Automated SQL & ETL Code Conversion

Migration Roadmap & Effort Estimation

Comprehensive Migration Advisor Canvas

Production-Ready Fabric DDL & Pipeline Code

Object Level Metadata

Migration Roadmap (Wave-Based Plan)

Migration Estimation & Project Plan

Deployment & Cutover Checklist

Sample Outputs

Every assessment run produces structured, auditable deliverables. Here's a live preview of what your team receives.

Executive Summary
Complexity Scorecard
Domain Analysis
Migration Roadmap

ESTATE OVERVIEW

8,640Total Objects

6,912Auto-Migratable

1,728Requires Review

AI-GENERATED SUMMARY

FABRIC READINESS SCORE

8.1

out of 10 — Fabric Migration Ready

STRATEGIC RECOMMENDATIONS