Microsoft Fabric Assets
Comprehensive implementation guides, best practices, and reusable templates for Microsoft Fabric platform deployments and legacy migrations.
Quick Access - Popular Assets
Medallion Architecture Blueprint
Comprehensive medallion architecture design with Bronze, Silver, and Gold layers for Microsoft Fabric.
📥 DownloadOneLake Architecture Patterns
Step-by-step guide for implementing OneLake data organization patterns.
📥 DownloadPySpark Coding Standards
Enterprise coding standards and best practices for PySpark development.
📥 DownloadLLM SAS to PySpark Prompts
AI-assisted code conversion methodology for SAS to PySpark migration.
📥 DownloadFoundation & Architecture
Core architectural patterns and foundational guides for Microsoft Fabric implementation
Medallion Architecture Blueprint
Comprehensive medallion architecture design with Bronze, Silver, and Gold layers.
📥 DownloadWell-Architected Framework
Best practices across reliability, security, cost optimization, and performance.
📥 DownloadOneLake Architecture Patterns
Data lake organization patterns and OneLake implementation strategies.
📥 DownloadWarehouse vs Lakehouse Decision
Decision framework for choosing between Warehouse and Lakehouse.
📥 DownloadData Engineering
Data engineering patterns and best practices for Microsoft Fabric
PySpark Best Practices
Production-grade PySpark coding patterns and optimization techniques.
📥 DownloadLakehouse Design Guide
End-to-end lakehouse design patterns and implementation strategies.
📥 DownloadDelta Lake Operations
ACID transactions, time travel, and Delta Lake optimization techniques.
📥 DownloadNotebook Development Standards
Standards and best practices for Fabric notebook development.
📥 DownloadData Factory
Pipeline design patterns and orchestration for Data Factory
Dataflow Gen2 Best Practices
Best practices for building efficient Dataflow Gen2 transformations.
📥 DownloadCopy Activity Optimization
Optimizing copy activities for high-performance data movement.
📥 DownloadData Warehouse
SQL analytics and data warehousing on Microsoft Fabric
Real-Time Intelligence
Stream processing and real-time analytics
Power BI Integration
Business intelligence and reporting solutions
Security & Governance
Security best practices and governance controls
DevOps & Deployment
CI/CD pipelines and deployment automation
Migration & Modernization
Legacy system migration guides and conversion patterns
Data Quality
Data quality frameworks and validation patterns
Performance & Cost
Performance optimization and cost management
Operations
Operational runbooks and monitoring guides
PySpark - Architecture Fundamentals
Core Spark architecture and cluster configuration
PySpark Architecture Deep Dive
Understanding Spark's distributed architecture and execution model.
📥 DownloadExecution Model & DAG Optimization
Understanding DAGs, stages, and optimizing execution plans.
📥 DownloadPySpark - Development Standards
Coding standards and development best practices
PySpark Coding Standards
Enterprise coding standards, naming conventions, and code organization.
📥 DownloadPySpark - Performance Engineering
Performance optimization and tuning techniques
Join Optimization Techniques
Broadcast joins, sort-merge joins, and optimization strategies.
📥 DownloadPySpark - Data Engineering Patterns
Common data engineering patterns and implementations
PySpark - Testing & Quality
Testing strategies and quality assurance
PySpark - Operations & Debugging
Operational monitoring and troubleshooting
PySpark - Advanced Topics
Advanced PySpark capabilities and techniques
LLM Methodology
AI-assisted code conversion methodologies and prompt engineering
SAS to PySpark Prompt Engineering
Prompt engineering guide for SAS to PySpark conversion.
📥 DownloadSSIS to Fabric Prompt Engineering
Prompt engineering guide for SSIS to Fabric conversion.
📥 DownloadInformatica to Fabric Prompt Engineering
Prompt engineering guide for Informatica to Fabric conversion.
📥 DownloadMigration Governance
Governance frameworks and program management for migration initiatives
Phase 0: Discovery & Planning
Initial discovery and assessment templates for migration planning
Phase 1: Foundation & Governance
Establishing governance foundation for migration
Phase 2: Migration Execution
Templates for migration execution and conversion
Phase 3: Data Quality & Testing
Data quality and testing templates
Phase 4: Program Management
Program and project management templates
Phase 5: Operations & Support
Operations and support documentation
Phase 6: Change Management & Training
Change management and training materials
Phase 7: Post Go-Live Optimization
Post-implementation optimization templates
Phase 8: Canonical Model Workshop
Canonical data model design materials
Testing & Validation
Testing strategies and validation frameworks
Organizational Readiness
Organizational change and readiness materials