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
Microsoft Fabric Apps — Complete Developer Guide
Deploy governed application backends directly on Fabric. SQL DB, Auth, and Static Hosting via the Rayfin SDK. What changed at Build 2026.
Microsoft Fabric IQ — The Intelligence Layer Explained
What Fabric IQ is, how it differs from Copilot, and what the GA components mean for your platform strategy.
Operations Agent in Microsoft Fabric — Complete Guide
Setup, KQL data sources, governance, known limitations, and real-world event monitoring use cases.
Microsoft Rayfin Developer Guide — Fabric App Backend
The open-source SDK and CLI that deploys a complete governed application backend directly to Microsoft Fabric.
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.
Microsoft Fabric Data Warehouse Optimization
Query performance tuning, partition strategy, statistics management — including GPU-acceleration announced at Build 2026.
Microsoft Fabric Data Agent — Setup & Use Cases
How the Data Agent differs from Operations Agent, supported data sources, conversational NL2SQL, and governance controls.
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 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
dbt Best Practices for SQL Transformation — Production Guide
Model organization, testing strategy, incremental patterns, and documentation standards for production dbt.
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.