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Proof of Concepts

Microsoft Fabric: OneLake and Data Engineering Proof of Concept (3 Days)

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Our Service

The Proof of Concept for Microsoft Fabric – OneLake and Data Engineering is a structured 4-day program aimed at helping teams develop a scalable version of their solutions. This initiative focuses on evaluating the feasibility and reinforcing design choices through practical application. Throughout the process, best practices and core principles are emphasized to ensure optimal results. Participants will engage in hands-on activities that enhance their understanding of Microsoft Fabric, equipping them with the necessary skills for effective data engineering.

Key Components

  • Scalable Solution Development: Create a scalable version of your solution to evaluate its feasibility and performance.
  • Feasibility Assessment: Conduct a thorough assessment to validate design decisions and overall project viability.
  • Best Practices Implementation: Follow industry best practices and principles throughout the development process to ensure quality.
  • Insights Gathering: Compile insights and data to inform future design and deployment phases.
  • Iterative Testing: Implement a cycle of testing and refinement to enhance the solution based on real feedback.

Your Benefits

  • Expert Services: Get first-hand insights and guidance from the experts.
  • Enhanced Decision-Making: Make informed design choices based on comprehensive feasibility assessments.
  • Cost Efficiency: Save time and resources by validating concepts before full-scale implementation.
  • Optimized Performance: Ensure that your solution is designed for scalability and optimal performance from the outset.
  • Continuous Improvement: Leverage iterative feedback to refine your solution continuously and address any potential challenges.
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Disclaimer: The services and descriptions provided herein are subject to change without prior notice. While we strive to ensure the accuracy and completeness of the information presented, we make no guarantees or warranties, express or implied, regarding the reliability, availability, or suitability of the services for any particular purpose.

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2025-08-13