https://store-images.s-microsoft.com/image/apps.42955.1a5bcadc-3d01-47ca-a2ca-eda52b3e7542.fbd7e5ac-83c7-40f5-90c3-7b7a6d890a80.8833f0b6-6cbd-48ea-b554-6965f3fa23ab

Azure Databricks Lakebridge Migration - Advisory & MVP

WinWire Technologies

Prezioak $45,000

Accelerate legacy-to-Lakehouse modernization with WinWire

Modernize your enterprise data warehouse with WinWire’s fast-track migration offering built on Azure Databricks and Databricks Lakebridge. This structured engagement combines strategic guidance and automation-driven implementation using our proprietary MaaS (Migration-as-a-Service) framework.

Why This Offer

Legacy platforms are costly, rigid, and lack cloud-native capabilities. While migrating to a Lakehouse on Azure Databricks is a clear path forward, many organizations face blockers like SQL conversion, pipeline modernization, and governance setup. Lakebridge, introduced at the Databricks Data+AI Summit 2025, simplifies the SQL-to-Delta migration journey. WinWire’s offering leverages Lakebridge and our proven MaaS framework to deliver a production-ready MVP on Azure Databricks with embedded governance and automation. We help you unlock the value of Azure-native analytics by reducing risk, accelerating timelines, and delivering a governed, scalable foundation.

Benefits

  • Accelerated Time-to-Value: Automate SQL conversion, data validation, and deployment using Lakebridge on Azure Databricks.
  • Azure-Native Integration: Leverage Microsoft Purview, Azure Data Lake Gen2, and Azure DevOps.
  • Built-In Governance: Integrate with Unity Catalog for access control and lineage from Day 1.
  • Reduced Risk, Higher Confidence: Automated profiling, test validation, and phased rollout ensure quality and transparency.
  • Scalable Blueprint for Full Migration: Lay the foundation for broader Lakehouse migration across domains.

    • What is Included?

  • Discovery & Platform Assessment: Inventory and profiling using Lakebridge Profiler, and complexity analysis across pipelines and SQL.
  • Target Architecture Definition: Design of the Lakehouse architecture on Azure Databricks including ADLS Gen2, Unity Catalog, and CI/CD pipelines.
  • Lakebridge Implementation Plan: Strategy for using Lakebridge Converter and Validator effectively within Azure ecosystem.
  • MVP Build: Execute pipeline modernization and SQL conversion for prioritized use case, with deployment in Azure Databricks Workflows.
  • Validation & Governance Setup: Configure test harness and Unity Catalog for validation, traceability, and access control.

    • Deliverables

  • Migration Use Case Definition & Scope Document
  • Lakebridge Technical Implementation Plan
  • Azure Databricks Lakehouse MVP Deployed
  • Data Validation Summary Report
  • Migration Roadmap for Expansion

    • Timeline

  • Phase 1: Assessment & Planning (Week 1–2)
  • Phase 2: Migration & MVP Build (Week 3–6)
  • Phase 3: Validation, Governance & Roadmap (Week 7–8)

    • Begiratu batean

    https://store-images.s-microsoft.com/image/apps.45034.1a5bcadc-3d01-47ca-a2ca-eda52b3e7542.fbd7e5ac-83c7-40f5-90c3-7b7a6d890a80.18f09a90-cb14-4689-b28d-da371e5cd4d4