Enterprise Microsoft Fabric Architecture & Delivery.

Microsoft Fabric fundamentally transforms enterprise data architecture by consolidating data engineering, data integration, warehousing, and business intelligence into one unified SaaS platform with open Delta Lake storage.

The Core Innovations of Microsoft Fabric

Fabric eliminates the cost and complexity of integrating disparate data services by delivering a shared compute pool and a single unified data lake.

OneLake: OneDrive for Data

A single, logical software-as-a-service (SaaS) lake for your entire enterprise. OneLake eliminates data silos, supports multi-cloud shortcuts (AWS S3, ADLS Gen2), and prevents redundant data copying.

Delta Lake Open Standard

Every engine in Fabric reads and writes to open Apache Parquet format wrapped with Delta Lake ACID transaction logs. This prevents vendor lock-in while ensuring reliable consistency.

Direct Lake Performance

Direct Lake loads Delta Parquet files directly into the Power BI VertiPaq engine in memory. You achieve the sub-second speed of Import mode with the real-time freshness of DirectQuery.

Fabric Data Factory

Combines the enterprise scale of Azure Data Factory with the visual transformation simplicity of Power Query (Dataflows Gen2). Fast, scalable orchestration across hundreds of sources.

Lakehouse & Warehouse

Seamlessly choose between code-first Apache Spark Lakehouses and SQL-first relational Data Warehouses. Both query the exact same Delta Lake tables without moving a single byte.

Capacity (CU) Governance

Centralized compute licensing (F-SKUs) allows dynamic smoothing of compute spikes. We monitor and configure workload throttling to guarantee budget predictability.

6-Layer Microsoft Fabric Reference Topology

How data flows securely from source enterprise systems through ingestion, transformation, storage, and semantic modeling into business decision applications.

architecture.enterprise-fabric/reference-topology
Microsoft Fabric enterprise architecture overview

When to Choose Lakehouse vs. Warehouse

Fabric Lakehouse: Best for big data pipelines, machine learning, unstructured data, and data engineering teams working in Python/PySpark.

Fabric Warehouse: Best for relational analytics, star-schema modeling, complex T-SQL queries, transactions, and business analysts migrating from traditional SQL Server or Synapse.

Our Implementation Deliverables

  • OneLake workspace tenant design & security governance
  • Lakehouse & Warehouse schema and Delta table definitions
  • Data Factory ingestion pipelines with automated failure alerts
  • Direct Lake semantic models, DAX calculations, and Power BI dashboards
Schedule a Microsoft Fabric Discovery Call