Microsoft Fabric Mastery: 15 Advanced Projects for Enterprise Data Engineering and AI Integration
Format:
Paperback
En stock
0.30 kg
Sí
Nuevo
Amazon
USA
- Transform your data engineering and analytics capabilities with Microsoft Fabric's revolutionary unified platform. Microsoft Fabric Mastery delivers 15 comprehensive, hands-on projects that take you from foundational concepts to enterprise-grade implementations across data warehousing, real-time analytics, and AI integration. Written by Kael Rivenholt, a seasoned data architect with over a decade of experience building scalable cloud solutions, this cookbook-style guide provides battle-tested patterns and architectural blueprints for real-world scenarios. Each chapter tackles a complete project with detailed code examples, performance optimization techniques, and security best practices that you can immediately apply to your organization's data challenges. You'll master OneLake's data lakehouse architecture, build lightning-fast DirectLake semantic models, orchestrate complex ETL pipelines with Data Factory, and leverage Synapse Data Engineering for Apache Spark workloads at scale. Explore advanced topics including incremental data refresh strategies, cost optimization patterns, cross-workspace collaboration, and integrating Azure AI services for intelligent data applications. Whether you're migrating from Power BI Premium, consolidating disparate analytics platforms, or building greenfield data solutions, this book equips you with proven frameworks for success. Learn to implement role-based security models, automate deployment pipelines with CI/CD, monitor performance with Fabric's observability tools, and architect multi-tenant SaaS analytics solutions. Stop piecing together disconnected tutorials. Start building production-ready Fabric solutions today. Perfect for data engineers, analytics professionals, solution architects, and IT leaders seeking to maximize their Microsoft Fabric investment. All projects include downloadable code samples and deployment scripts.
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