Unlock the full potential of Microsoft's unified SaaS data platform and build scalable, future-proof enterprise architectures.
In the era of multi-cloud environments, decentralized data teams, and exploding data volumes, traditional data platforms have become brittle, fragmented, and expensive to maintain. Organizations are caught in a perpetual cycle of moving, copying, and synchronizing data across siloed warehouses, lakes, and business intelligence caches.
Architecting Microsoft Fabric is the definitive, code-driven guide to breaking down these silos. Written specifically for data architects, principal engineers, and data platform leaders, this book provides a comprehensive blueprint for designing, deploying, and governing an enterprise-grade data platform entirely within the Microsoft Fabric ecosystem.
Eliminate Data Duplication with OneLake and Direct Lake Mode
Discover how to leverage OneLake as your single logical data inheritance plane, completely eliminating the need for expensive, time-consuming data movement pipelines. Learn the inner mechanics of Direct Lake Mode-a business intelligence revolution that allows the Power BI VertiPaq memory engine to stream V-Order optimized Delta Parquet files straight from storage into report RAM on demand, bypassing both slow imports and latent DirectQuery connections.
Comprehensive Architectural Coverage
Through production-ready design patterns, real-world scenarios, and programmatic manifests, this book walks you through the entire data lifecycle:
The Fabric Compute Layer: Architect highly performant Synapse Data Engineering pipelines, managed Spark Starter Pools, and optimized Synapse Data Warehouses using the multi-engine Polaris framework.
Semantic Star Schema Modeling: Build clean, single-direction dimensional models structured specifically to prevent memory paging and DirectQuery fallbacks over multi-billion row datasets.
Enterprise CI/CD and DevOps: Automate your release management using native Git integration (Azure DevOps/GitHub) and multi-stage, cross-capacity deployment pipelines with dynamic target parameterization.
End-to-End Governance and Compliance: Enforce tenant-wide security, downstream sensitivity label inheritance, structural ancestry tracing, and compliance auditing using Microsoft Purview.
What You Will Learn:
Design a decentralized Data Mesh architecture utilizing Fabric domains and secure workspaces.
Optimize Delta Parquet storage using Microsoft's proprietary V-Order byte alignment for sub-second analytical queries.
Programmatically configure and automate workspace synchronization using TMSL, XMLA endpoints, and Fabric REST APIs.
Establish proactive performance guardrails to manage capacity memory boundaries (F-SKUs) and prevent infrastructure throttling.
Implement robust security vectors, including Row-Level Security (RLS) and Column-Level Security (CLS), across the storage plane.
Who This Book Is For:
This book is engineered for Data Architects, Cloud Engineers, Analytics Managers, Lead Power BI Developers, and SQL Professionals who want to transition from legacy, fragmented data warehouses to a unified, modern SaaS lakehouse architecture. Familiarity with basic data engineering concepts and relational databases is assumed.
Stop managing data silos. Start architecting the future of enterprise analytics. Grab your copy of Architecting Microsoft Fabric today!
