MSQ Analytics World — Power BI & BI Modernization
Unified Analytics Practice

Microsoft Fabric Consulting &
Lakehouse Architecture

Build modern end-to-end analytics platforms unified on OneLake. We design and deliver production-ready Fabric Lakehouses, Medallion architectures, Data Factory ingestion pipelines, and Direct Lake semantic models that eliminate data silos and refresh lag.

Explore Fabric Architectures
Fabric Core Competencies
  • Direct Lake mode implementation: sub-second query performance without data copies
  • OneLake Delta storage unification with Bronze, Silver, and Gold Medallion pipelines
  • Capacity planning and cost optimization (F-SKU right-sizing and smoothing governance)
  • Unified governance, Purview lineage, and enterprise tenant workspace structure
Query Engine Direct Lake
Storage Standard OneLake Delta
Architecture Medallion 3-Tier
Capabilities

Microsoft Fabric Architecture Pillars

Our consulting practice delivers deep technical expertise across every layer of the Microsoft Fabric platform.

OneLake & Lakehouse Design

Unify your enterprise data estate using OneLake "OneDrive for data" architecture. Eliminate data duplication through OneLake shortcuts to ADLS Gen2, AWS S3, and Databricks.

  • Zero-copy OneLake shortcuts
  • Open format Delta Parquet tables
  • Multi-engine access (Spark, SQL, Power BI)

Direct Lake Semantic Models

Eliminate memory limits and scheduled data refreshes. Direct Lake mode reads Delta tables directly with sub-second query response across hundreds of millions of records.

  • Zero import refresh waiting time
  • VertiPaq memory caching on demand
  • DirectQuery fallback prevention

Data Factory Pipelines & ETL

Orchestrate complex cloud data flows using Fabric Data Factory pipelines, combining cloud connectors with Spark notebooks to ingest and transform disparate enterprise data.

  • 100+ native cloud & on-prem connectors
  • Automated parameter-driven pipeline activities
  • Automated pipeline alerts & monitoring

PySpark & Medallion Engineering

Author scalable Spark notebooks implementing Bronze (raw data), Silver (cleansed and conformed), and Gold (star schema business marts) Delta Lake tables.

  • High-performance Delta Lake optimization (V-Order)
  • ACID transactions & time travel support
  • Managed Spark pool compute allocation

Capacity Sizing & Cost Control

Prevent compute runaway costs. We audit workload patterns to size F-SKUs (F2 to F2048), implement workload smoothing, and establish capacity governance policies.

  • Fabric Capacity Metrics App auditing
  • Peak load smoothing & pause/resume setup
  • CU budget thresholds & throttling protection

Tenant Security & Purview

Establish tenant-wide data security with Microsoft Purview integration, automated end-to-end data lineage, sensitivity labels, and Git ALM integration.

  • Automated Microsoft Purview data lineage
  • Git ALM repository synchronization
  • Domain-based tenant administration
Implementation Lifecycle

Fabric Platform Delivery Roadmap

From initial capacity assessment to production Medallion lakehouse and Direct Lake deployment.

01

Capacity & Workspace Architecture

Define enterprise workspace domains, evaluate capacity F-SKU sizing, configure tenant settings, and design the OneLake storage layout.

Tenant Governance Blueprint
02

Medallion Data Engineering

Build Data Factory ingestion pipelines and PySpark notebooks. Transform raw data across Bronze, Silver, and Gold Delta Parquet tables with V-Order optimization.

Engineered Lakehouse
03

Direct Lake Semantic Layer

Author certified Star Schema semantic models connecting via Direct Lake mode to Gold tables. Ensure zero fallback to DirectQuery.

Direct Lake Models
04

CI/CD, Monitoring & Handover

Set up Azure DevOps Git integration, deployment pipelines, Purview data cataloging, and capacity utilization alerts for ongoing stability.

Production CI/CD Handover
Cross-Reference

Related Demonstrations & Architecture Studies

Experience our Fabric Lakehouse designs and high-throughput data engineering in action.

Interactive Demo

Fabric Lakehouse Reference Architecture

Explore interactive data flow visualization demonstrating OneLake, Delta Lake bronze/silver/gold tiers, and Direct Lake queries.

View Interactive Architecture Related Service

Databricks Consulting Services

Explore enterprise Delta Lake engineering, PySpark transformation, and hybrid Databricks-Fabric integration.

Explore Databricks Case Study

Fabric Lakehouse Modernization Study

How a multi-entity retail enterprise consolidated disparate cloud data warehouses into a single Microsoft Fabric OneLake lakehouse.

Read Case Study
FAQ

Microsoft Fabric Consulting Questions

Key insights on Direct Lake performance, capacity planning, and legacy migration to Fabric.

Direct Lake mode allows Power BI semantic models to read Delta Parquet files directly from OneLake storage without importing data into memory or translating queries to slow DirectQuery SQL. It delivers import-level sub-second performance across billions of rows without data duplication or scheduled refresh latency.
We evaluate current compute workloads, query concurrency, and ingestion schedules to right-size Microsoft Fabric F-SKUs. We configure Fabric Capacity Metrics monitoring, smoothing policies, and workspace tiering to prevent throttling and control operational cloud expenditure.
We establish a standardized 3-tier lakehouse pattern: Bronze (raw, immutable delta ingestion), Silver (cleansed, validated, conformed enterprise entities), and Gold (curated Kimball Star Schemas optimized for Direct Lake semantic models).
Fabric Architecture

Ready to Modernize on Microsoft Fabric?

Discuss your OneLake strategy, Lakehouse implementation, Direct Lake models, or capacity sizing with an experienced enterprise Fabric architect.