What Is Microsoft Fabric

Microsoft Fabric is a unified, end-to-end analytics platform delivered as a SaaS solution that brings together data engineering, data warehousing, real-time intelligence, data science, and business intelligence under a single environment. Built on OneLake — Microsoft's organization-wide data lake — Fabric eliminates the need to manage fragmented tools, separate storage accounts, or complex infrastructure. Every workload shares the same data, the same governance layer, and the same capacity, enabling organizations to go from raw data to trusted insights faster than ever before.

OneLake & Lakehouse Architecture One Storage Foundation for Everything

OneLake is the single, unified, logical data lake that comes automatically with every Microsoft Fabric tenant — no infrastructure to configure, no extra storage accounts to manage. Built on Azure Data Lake Storage Gen2 and storing data in open Delta-Parquet format, OneLake acts like "OneDrive for your organization's data." On top of OneLake, Lakehouses combine the flexibility of a data lake with the analytical power of a data warehouse — supporting structured, semi-structured, and unstructured data in one place, with ACID-compliant Delta tables, built-in SQL analytics endpoints, and automatic integration with Power BI, Spark, and ML workloads. The Shortcuts feature allows teams to reference data from other workspaces or external cloud sources without copying it, eliminating duplication and enabling a true single source of truth across the organization.

Data Pipelines & Data Engineering
Enterprise ETL at Scale
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Microsoft Fabric's Data Factory and Data Engineering workloads provide a complete, enterprise-grade pipeline orchestration engine — enabling data engineers to build, automate, and monitor end-to-end ETL/ELT workflows without leaving the Fabric environment. With 200+ native connectors, support for Copy Data activities, Dataflows Gen2, Apache Spark notebooks, and event-based triggers, teams can ingest and transform data from any source — cloud, on-premises, or hybrid — directly into OneLake. Pipelines support full scheduling (time-based or event-driven), Git-based version control, CI/CD promotion across dev/test/prod environments, and built-in Spark execution with automatic resource scaling — so data engineers can deliver reliable, governed data products at enterprise scale without managing infrastructure.  

Fabric Warehouse — Next-Generation Cloud Data Warehousing

The Synapse Data Warehouse in Microsoft Fabric is the first transactional data warehouse to natively store data in open Delta-Parquet format on OneLake, eliminating vendor lock-in and enabling full interoperability with Spark, Power BI, and the broader Fabric ecosystem — without any data movement or duplication. It is fully serverless, provisioning compute in milliseconds on demand, with complete separation of storage and compute so organizations only pay for what they use. Full T-SQL support, multi-table ACID transactions, DDL/DML capabilities, cross-database queries, and a built-in SQL Analytics Endpoint make it suitable for enterprise-grade analytical workloads — while the AI-powered Migration Assistant simplifies transitions from Azure Synapse or SQL Server.

Advanced Security, Governance & Compliance

OneLake enforces centralized governance with Microsoft Information Protection (MIP) sensitivity labels, data lineage tracking, Row-Level Security (RLS), DLP policy enforcement, and full audit logging. These controls span all Fabric workloads — Lakehouses, Warehouses, Pipelines, and Notebooks — supporting regulatory requirements across industries. Integration with Microsoft Purview provides unified catalog discovery, classification, and compliance management across the entire data estate from a single control plane.  

Multi-Workload Architecture with
Native AI & Copilot

Fabric unifies six workloads — Data Factory, Data Engineering, Data Science, Data Warehousing, Real-Time Intelligence, and Power BI under a single capacity and identity framework. Native Microsoft Copilot integration across Fabric workloads enables AI-augmented analytics, automated code generation (Spark, SQL, Python), predictive modeling, and intelligent pipeline diagnostics — all without duplicating data or switching tools. AI-powered functions can be applied inline within notebooks, and Fabric's Copilot can explain results, optimize queries, and generate transformations directly in the workflow.  

Flexible Capacity, Licensing &
Enterprise Deployment

Fabric capacities scale dynamically from F2 to F2048 on pay-as-you-go or reserved pricing, with up to 41% savings on reservations. Starting at F64, end users no longer require individual Power BI Pro licenses, significantly reducing per-user costs and enabling cost-optimized, enterprise-wide BI deployment. Fabric supports cloud-only, hybrid, and multi-region architectures with on-premises data gateways bridging legacy SQL and Oracle environments, workspace-level controls, capacity metrics monitoring, and data residency enforcement — enabling governed, low-risk enterprise rollouts at any scale.  

How Red X Carbon Does Microsoft Fabric Differently

Security-First Architecture

Every Fabric deployment is designed with security at its core — implementing Microsoft Information Protection sensitivity labels, Row-Level Security (RLS), service principal governance, DLP policies, and conditional access from day one. We conduct threat modelling and security baseline reviews aligned to CIS and Zero Trust principles, ensuring your analytics environment is protected before a single pipeline runs.

Risk-Reduced, Phased Delivery

We architect controlled, milestone-driven rollouts that minimize business disruption across every project phase. Each engagement includes a structured Proof of Concept, parallel environment validation, and formal go/no-go checkpoints before production cutover. Our RAID log discipline and change control processes ensure risks are identified, tracked, and mitigated — not discovered after deployment.

Clean, Scalable Data
Architecture

Red X Carbon designs Fabric environments the right way from the ground up — proper OneLake structure, medallion architecture (Bronze/Silver/Gold), semantic model governance, and reusable pipeline frameworks. We eliminate technical debt before it accumulates, ensuring your data platform is maintainable, extensible, and built to support future workloads without costly rework.

Structured Handover &
Knowledge Transfer

Every engagement concludes with a formal handover process — comprehensive documentation, admin runbooks, architecture diagrams, and live walkthrough sessions with your internal team. We don't simply deploy and leave; we ensure your staff fully own and understand the solution, reducing dependency on external support and building lasting internal capability.

Hyper-Care & Post-Go-Live Support
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Following every deployment, Red X Carbon provides a dedicated hyper-care period with active monitoring, rapid incident response, and performance tuning. We proactively track capacity metrics, pipeline health, and Spark job performance resolving emerging issues before they impact end users and giving organizations confidence during the critical stabilization window after go-live.

End-to-End Migration &
Modernization Expertise

From legacy on-premises Power BI Report Server migrations to full cross-tenant Fabric tenant remaps, we handle complex migration scenarios including workspace inventory, capacity reassignment, metadata preservation, and gateway reconfiguration. Our engineers manage multi-phase coexistence, data residency requirements, and hybrid connectivity delivering clean, fully validated environments with zero data loss.