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https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_ssis_modernization-b58203b4-4fe7-4eb0-b75d-964ee6524fcd/image2_LTM216X216px.png

LTM Data And AI SSIS Modernization to Microsoft Fabric

LTIMindtree Limited

การกำหนดราคา ฟรี

Outcreate data modernization with AI-driven SSIS to Microsoft Fabric migration that reduces effort, lowers risk, and speeds time to insight in just 6 weeks.

Customer Need

As organizations migrate to the cloud, many still rely on legacy SQL Server Integration Services (SSIS) workloads that are hard to scale, maintain, and modernize. Moving those workloads to Microsoft Fabric can improve agility and simplify data operations, but the transition often brings migration complexity, technical dependencies, and execution risk.

Value Proposition

This 6-week offer is designed for data platform owners, extraction, transformation, and loading (ETL) architects, and modernization leads who want to move from on-premises SSIS packages to Microsoft Fabric and the Azure ecosystem with more speed and control.

Our solution uses a proprietary generative AI-based automation framework that can accelerate up to 70% of the migration effort and help customers:

  • Reduce manual rework and technical debt
  • Lower migration risk through guided assessment and automation
  • Speed time to value across Microsoft Fabric and the Azure ecosystem

    • How This Offer Helps You Leverage Microsoft Services

  • Maximize Microsoft Fabric adoption
  • Enable stronger Azure integration
  • Improve use of Microsoft tooling
  • Get more value from Microsoft investments

    • What’s Included in the Engagement

    Week 1: Discovery and Inventory Assessment

  • Auto-scan SSIS packages using proprietary tooling
  • Identify control flow, data flow, dependencies, and external connections
  • Classify packages by complexity and suitability for Microsoft Fabric migration

    • Week 2: Migration Planning and Estimation

  • Generate effort estimates using AI-based analysis
  • Identify modernization blockers such as legacy components and custom scripts
  • Create a target-state architecture aligned with Microsoft Fabric and Azure-native components

    • Weeks 3 to 6: AI-Powered Code Conversion and Sample Implementation

  • Auto-generate Fabric-compatible pipelines and validate logic fidelity
  • Conduct performance benchmarking in Microsoft Fabric or Azure
  • Deliver a working prototype and a migration blueprint with clear next steps

    • Outcome

    This offer gives you both a technical roadmap and a validated prototype to reduce risk in your broader SSIS-to-Microsoft Fabric modernization journey and move faster toward a cloud-native, Microsoft-first data architecture.

    สรุปย่อ

    https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_ssis_modernization-b58203b4-4fe7-4eb0-b75d-964ee6524fcd/image1_SSIStoPySparkMSFabric.png