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Microsoft Fabric Data warehousing in United Arab Emirates

QAR 2,000


Our Fabric Data Warehousing Implementation Services are designed to help organizations modernize their data estate, streamline analytics operations, and build scalable, secure, and governed data architectures. We provide end-to-end services covering strategic planning, warehouse setup, data ingestion, semantic modeling, Power BI integration, security, and training. Whether you’re migrating from legacy platforms or building a greenfield data environment, our certified experts ensure your Fabric deployment is future-ready, optimized for performance, and aligned with business outcomes.

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  • Small Project
  • Medium Project
  • Large Project
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    Whats Covered

    ✅ Architecture Planning - Choose between Lakehouse and Data Warehouse modes, define storage zones and select access layers.
    ✅ Data Ingestion & Integration - Build pipelines using Dataflows Gen2 and Pipelines to ingest data from SQL, SAP, Salesforce, APIs, flat files, and more.
    ✅ Warehouse & Lakehouse Setup - Provision and configure Microsoft Fabric Warehouse or Lakehouse environments with partitioning, schema design, and workload optimization.
    ✅ Data Modeling & Semantic Layer - Create business-friendly star/snowflake schemas, calculated tables/measures, and Power BI datasets for analytics consumption.
    ✅ Power BI Integration - Connect Power BI with Fabric datasets for real-time dashboards, report authoring, and deployment pipelines.
    ✅ Governance & Security - Implement Row-Level Security (RLS), Microsoft Purview policies, access controls, lineage tracking, and compliance configurations.
    ✅ Training & Knowledge Transfer - Conduct enablement sessions for business users, data engineers, analysts, and governance teams.

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    Benefits & Advantages

    ✅ Unified Platform : One integrated solution for lake, warehouse, and BI no data duplication or siloed tools.
    ✅ Real-Time Analytics : Direct Lake access enables sub-second query performance without ETL overhead.
    . ✅ Reduced TCO : Simplified architecture reduces infrastructure and licensing costs.
    ✅ Enterprise Governance : Built-in compliance, data lineage, and role-based security support.
    ✅ Faster Time-to-Insight : Simplified ingestion pipelines and pre-built connectors accelerate implementation.
    ✅ Scalable & Cloud-Native : Fabric adapts to growing workloads and data sources with elastic compute and storage.
    ✅ Power BI-Ready : Deep native integration with Power BI supports governed self-service BI across the organization.
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    Our Service Package

    Small Project

    Timeline: 2 – 3 Weeks


    Scope & Features :

    • Ingest and model data from 1–2 sources.
    • Provision a single Fabric Warehouse or Lakehouse.
    • Build 1 semantic model and connect with Power BI.
    • Enable role-based access and basic governance.
    • Targeted for use cases like finance or HR dashboards.

    What Includes :

    ✅ Discovery & requirements gathering for 1–2 use cases.
    ✅ Setup of Fabric environment (Workspace, Warehouse/Lakehouse).
    ✅ Ingestion using Dataflows Gen2 from up to 2 structured sources.
    ✅ Development of 1 Power BI dataset and dashboard.
    ✅ Row-Level Security (RLS) and basic access control.
    ✅ Documentation & 1 training session for analysts.
    ✅ 2 weeks post-go-live support


    For any specific questions or Doubts ,

    Medium Project

    Timeline: 4–6 Weeks


    Scope & Features :

    • Ingest and model data from 3–5 sources.
    • Use a combination of Lakehouse + Warehouse.
    • Design multi-zone architecture (bronze/silver/gold layers).
    • Create multiple semantic models and department-specific dashboards.
    • Apply governance and compliance controls using Microsoft Purview.

    What Includes :

    ✅ Business & technical assessment for 3–5 workflows/data areas.
    ✅ Setup of Fabric workspace with both Warehouse and Lakehouse components
    ✅ Development of 3–5 data pipelines using Pipelines/Dataflows Gen2.
    ✅ Creation of 2–3 Power BI datasets with calculated measures.
    ✅ Implementation of security, auditing, and data lineage.
    ✅ User training (2 sessions) for analysts and data stewards.
    ✅ 4 weeks post-go-live support + performance tuning.


    For any specific questions or Doubts ,

    Large Project

    Timeline: 8–12 Weeks

    Scope & Features :

    • Ingest and model data from 6+ systems (ERP, CRM, APIs).
    • Establish enterprise-grade Lakehouse and Warehouse layers.
    • Automate ingestion across 10+ pipelines with custom logic.
    • Enable real-time reporting with Direct Lake + Power BI.
    • Implement governance, compliance, security, and lineage across all data assets.

    What Includes :

    ✅ Enterprise-wide discovery workshops and current-state assessment.
    ✅ Full configuration of multi-zone Fabric data architecture (bronze/silver/gold).
    ✅ Ingestion pipeline development for 10+ sources.
    ✅ Custom schema and semantic modeling for multiple departments.
    ✅ Power BI integration with 5+ interactive dashboards and role-based access.
    ✅ Implementation of Microsoft Purview (security, RLS, classification, lineage).
    ✅ Multi-session training across departments (IT + Business).
    ✅ 8 weeks of post-go-live support with optimization and CoE enablement.


    For any specific questions or Doubts ,
    Our Implementation approach

    Phase 1 : Discovery & Planning

    Phase 2 : Design & Architecture

    Phase 3 : Development & Configuration

    Phase 4 : Governance & Security

    Phase 5 : UAT & Optimization

    Phase 6: Training & Support

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    FAQ

    What is Microsoft Fabric Data Warehousing?

    How is it different from Azure Synapse or traditional data warehouses?

    Where are we headquatered and what are the regions we provide services ?

    Can Fabric support both technical teams and business users?

    Sunday,Monday,Tuesday,Wednesday,Thursday,Friday,Saturday
    January,February,March,April,May,June,July,August,September,October,November,December
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    Microsoft Fabric Data warehousing in United Arab Emirates

    Small Project
    QAR 2,000
    Small Project
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