LTM Data & AI Sunshine Services using Microsoft Fabric

Overview

Accelerate your data-driven migration to Microsoft Fabric with Sunshine Migrate from LTM.

As enterprise data estates grow more complex across on-premises and cloud environments, Microsoft Fabric offers a more unified platform for data modernization. Migrating schemas, data, business logic, and validation workflows still takes significant time and effort, and it can introduce risk around data loss, feasibility, security, compliance, and cost control.

Sunshine Migrate helps reduce that effort by automating source discovery, schema conversion, deployment to Microsoft Fabric lakehouse or warehouse environments, data migration, and reconciliation. It also includes audit-driven validation to reduce errors, improve predictability, and make large migration programs easier to manage.

Why choose Sunshine

• Production-proven migration approach: Built from implementation experience across real migration programs, helping teams move with more confidence.
• Faster time to value: Reduces manual effort and migration cost through automation-led execution.
• Detailed source-to-target mapping: Uses a structured data dictionary to improve migration accuracy and traceability.
• Cloud-ready migration design: Applies cloud best practices during migration instead of a one-time lift-and-shift approach.
• Automated validation toolkit: Verifies migrated outputs to catch issues early and reduce rework.
• GenAI-assisted conversion and documentation: Uses generative AI to support code conversion, optimization, and documentation.

New features

• Synapse-to-Fabric Django migration: Extends migration support for specific application and data modernization scenarios.
• Synapse-to-Fabric lakehouse API implementation: Enables flexible migration and integration workflows into Fabric lakehouse environments.
• Fabric FinOps semantic model: Adds code and reporting support for Fabric FinOps use cases.
• Fabric FinOps notebook revamp: Improves notebook support for fetching and working with capacity metrics.
• Parallel Lakehouse execution support: Enables parallel file execution and improves merge logic and variable handling to reduce run time.