https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_ssis_modernization-120ff3fb-0e03-437a-9fc9-e09b5bda0d96/9eb6067f-dcde-4d80-b180-98ee89276c2e_LTM_216X216px.png

LTM Data And AI SSIS Modernization to Microsoft Fabric

LTIMindtree Limited

Modernize SSIS Packages to Microsoft Fabric workloads with AI-driven automation, reducing effort, risk, and time to insight in just 6 weeks

Customer Need: As organizations migrate to the cloud, they face challenges in executing a risk-free and predictable transition from legacy SSIS workloads to Microsoft Fabric, modern data platforms on Microsoft—while aligning with their organization’s data strategy.

Value Proposition: This 6-week offer is designed for data platform owners, ETL architects, and modernization leads seeking to accelerate their move from on-premises SSIS packages to Microsoft Fabric and the Azure ecosystem.

Our solution leverages a proprietary Gen AI–based automation framework that accelerates up to 70% of the migration effort, helping customers:

  • Reduce manual rework and technical debt
  • Minimize migration risk
  • Speed up time-to-value on Microsoft Fabric / Azure Ecosystem
  • By modernizing ETL workloads to Fabric-native pipelines or Azure Data Factory, customers can fully unlock the power of Microsoft’s unified analytics ecosystem, improve scalability, and future-proof their data integration investments

    How This Offer Helps You Leverage Microsoft Services:
  • Maximize Microsoft Fabric Adoption: Converts legacy SSIS workloads to native pipelines compatible with Microsoft Fabric’s data integration layer.
  • Enable Seamless Azure Integration: Aligns migrated workloads with services like Azure Data Factory, Azure Synapse
  • Optimize Use of Microsoft Tooling: Provides actionable insights and automation that align with Fabric's dataflows, OneLake, and Power BI consumption layers.
  • Enhance Licensing ROI: Ensures that customers extract more value from their Microsoft investments by modernizing workloads into supported and optimized services.
  • What’s Included in the Engagement:

    Week 1: Discovery & Inventory Assessment
  • Auto-scan SSIS packages using proprietary tooling
  • Identify control/data flow patterns, dependencies, and external connections
  • Classify packages by complexity and suitability for Fabric migration
  • Week 2: Migration Planning & Estimation

  • Generate effort estimates using AI-based analysis
  • Identify modernization blockers (e.g., legacy components, custom scripts)
  • Create a target-state architecture aligned with Microsoft Fabric and Azure-native components
  • Weeks 3–6: AI-Powered Code Conversion & 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 provides both a technical roadmap and a validated prototype to de-risk your broader SSIS-to-Microsoft Fabric modernization journey—accelerating your transformation to a cloud-native, Microsoft-first data architecture.

    At a glance

    https://catalogartifact.azureedge.net/publicartifacts/ltim.ltimindtree_dataandai_ssis_modernization-120ff3fb-0e03-437a-9fc9-e09b5bda0d96/77178a1a-6f5d-4983-9361-7a57b9973fd3_SSIS_to_PySpark_MSFabric.png