Microsoft Fabric, Power BI, AI & Data Engineering Tutorials
Practitioner-level content covering Microsoft Fabric, Power BI, data engineering, AI agents, analytics architecture, and modern cloud platforms — built from official documentation, product updates, and real implementation experience.
Latest Research & Analysis
Native dbt Jobs in Microsoft Fabric — Complete Guide
Run dbt Core natively inside Data Factory. Setup, scheduling, CI/CD patterns, and how it compares to dbt Cloud orchestration. →
Power BI TMDL Tutorial — Edit Semantic Models as Code
Tabular Model Definition Language in Desktop and the new web editor. Version control, Git integration, and team workflows. →
Model Context Protocol — Power BI MCP Server Guide
Connect AI agents to Power BI semantic models. Automated DAX generation, bulk model operations, and setup walkthrough. →
Fabric Data Agent Code Interpreter — Dynamic AI Analytics
Python-driven visualizations and deep analytics from the Data Agent, surfaced directly inside Microsoft Teams. →
Microsoft Fabric Apps — Complete Developer Guide
Deploy governed application backends directly on Fabric. SQL DB, Auth, and Static Hosting via the Rayfin SDK. →
Microsoft Fabric — Start Here
Power BI Premium to Microsoft Fabric Migration
Verified deadlines, P-SKU to F-SKU mapping, real cost analysis with pause strategy, and the mistakes teams make when they rush the cutover.
Interactive Tool · 2026Microsoft Fabric Pricing Calculator
Estimate F-SKU compute, OneLake storage, mirroring free allocation, and Power BI Pro licensing across all Azure regions. Official 2026 pricing data.
Microsoft Fabric Production Stability for Enterprise Analytics
Capacity isolation, throttling management, OneLake Catalog Govern tab, CI/CD, and June 2026 production-readiness updates. →
Microsoft Fabric Capacity Optimization — Pause, Scale, Save
CU mechanics, smoothing windows, throttling stages, burst factors, and how to structure pause schedules to cut your monthly bill. →
Fabric Lakehouse vs Data Warehouse — Decision Guide
Decision criteria, when to use each, and how to design a hybrid medallion architecture in Microsoft Fabric. →
Medallion Architecture in Microsoft Fabric — Complete Guide
Bronze, silver, gold layer design patterns, OneLake implementation, and governance considerations for production. →
Microsoft Fabric Data Warehouse Optimization
Query performance tuning, partition strategy, statistics management — including GPU-acceleration announced at Build 2026. →
GPU-Accelerated Fabric Data Warehouse — SIGMOD Deep Dive
The Build 2026 Best Industry Paper architecture, benchmark results, and what it means for query-heavy workloads. →
Microsoft Fabric Data Agent — Setup & Use Cases
How the Data Agent differs from Operations Agent, supported data sources, conversational NL2SQL, and governance controls. →
Microsoft Fabric Data Activator — Complete Guide
No-code trigger and alerting on streaming and Power BI data, with real-world monitoring patterns and limitations. →
Agentic Data Engineering Tutorial
Building automated multi-agent data engineering workflows using Microsoft Fabric AI Agents and programmatic pipelines. →
Microsoft Fabric Tutorial Series
Microsoft Fabric Interview Prep Hub
Everything you need to pass a Microsoft Fabric interview — analyst to senior architect.
Every workload, every scenario-based question type, with answers verified against official Fabric documentation. Not memorized bullet points — real deployment knowledge.
Go to Master Question Bank →Power BI — In Depth
Power BI TMDL Tutorial — Edit Semantic Models as Code
Desktop and web TMDL view, version-control patterns, Git workflows, and team collaboration on semantic models. →
Model Context Protocol Power BI MCP Server
Connect AI agents to semantic models for automated DAX generation and bulk model operations. →
Agent Skills for Power BI — Complete Guide
Reusable AI agent capabilities purpose-built for Power BI workflows, and how to configure them for your team. →
Power BI Enhanced Report Format (PBIR) — Full Guide
What PBIR is, how it changes version control, and whether you should switch now or wait for your team. →
Power BI DAX with AI — From Prompt to Formula
Using Copilot and AI tools to write, explain, and optimize DAX — what works, what doesn’t, and what wastes time. →
AI in Power BI — Create Next-Level Reports in Seconds
The full breakdown of AI features in Power BI and which ones save meaningful time in production. →
Get Power BI AI-Ready — The Secret Behind Next-Level Insights
Semantic model hygiene, Q&A optimization, and the data prep steps that make AI features actually work. →
Direct Lake Falling Back to DirectQuery — Diagnosis & Fix
Why Direct Lake falls back, how to diagnose it in the Metrics App, and the exact steps to resolve it. →
DP-600 Direct Lake Performance Optimization
Performance optimization aligned to the DP-600 exam for Direct Lake semantic models. →
Platform Comparisons — Make the Right Call
Microsoft Fabric vs Databricks — Full Comparison 2026
Architecture, workloads, pricing, performance, and which platform fits which team. No vendor bias. →
Microsoft Fabric vs Snowflake — Architecture & Cost Analysis
Data warehouse capabilities, compute model differences, and real migration cost considerations. →
Microsoft Fabric vs Google BigQuery — Head-to-Head
Query engines, storage models, real-time capabilities, and multi-cloud considerations compared. →
Microsoft Fabric vs Azure Synapse — Full Comparison & Migration Guide
What carries over, what doesn’t, the Pipeline Migration Assistant, and what the migration actually costs. →
Apache Iceberg vs Delta Lake — Format Comparison 2026
Table format internals, ecosystem support, time travel, schema evolution, and Fabric compatibility. →
Beyond Fabric — The Modern Stack
Native dbt Jobs in Microsoft Fabric — Complete Guide
Run, schedule, and monitor dbt Core natively in Data Factory — no external orchestrator required. →
dbt Best Practices for SQL Transformation — Production Guide
Model organization, testing strategy, incremental patterns, and documentation standards for production dbt. →
Microsoft Web IQ — Complete Guide
Real-time grounding from the open web for agentic workflows, and how it complements Fabric IQ and Work IQ. →
Microsoft Work IQ API — Complete Guide
Organizational context grounding for agents — Microsoft Graph signals, permissions model, and developer setup. →
Microsoft Fabric RAG Tutorial — Build Trustworthy AI
Retrieval-Augmented Generation on Fabric: architecture, indexing, and grounding your AI outputs. →
Data Observability vs Data Quality — A Practical Guide
What each discipline covers, where they overlap, and how to build both into a modern data platform. →
Skrub Library — Smarter Data Preparation for ML
What Skrub is, how it handles dirty tabular data, and where it fits in a modern data engineering workflow. →
Prompt Engineering Tutorial for Data Engineers
Chain-of-thought, few-shot prompting, and structured output techniques that matter for data work. →
Agentic Data Engineering — Build AI-Driven Pipelines
Multi-agent orchestration, automated data engineering workflows, and Fabric AI Agent integration patterns. →
Common Errors — Fixed Fast
OneLake Shortcut Authorization Failed — Cross-Workspace Fix
Dataflow Gen2Dataflow Gen2 Error 20302 — Cause & Resolution
CopilotPower BI Copilot “Something Went Wrong” — Fix
Copy ActivityCopy Activity CSV Column Not Found — BOM Character Fix
PySpark · DeltaPy4JJavaError When Saving Delta Table — Fix
AirflowAirflow KubernetesPodOperator 403 Forbidden — Fix
Apache SparkSpark Shuffle Partitions Optimization Tutorial & Fix
SecurityCloud Security Tips for Data Platforms
Pricing figures, product availability, and platform details referenced across this site are based on official documentation at the time of writing and are updated regularly. Always verify current information at official vendor documentation before technology or purchasing decisions. UIG Data Lab is an independent publication — not affiliated with, endorsed by, or sponsored by Microsoft Corporation, Databricks, Snowflake, or any other vendor mentioned.