Microsoft Fabric Master Class Build The Unified PlatformMP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz
Language: English |
Size: 4.82 GB |
Duration: 11h 52m
OneLake, Lakehouse, Warehouse, Eventhouse, Direct Lake, Activator, CI/CD - one platform, one capstone, end-to-end.
What you'll learnArchitect Fabric workloads across OneLake, Lakehouse, Warehouse, Eventhouse, and Power BI using the right engine for the right job.
Build production Delta Lake pipelines with V-Order, OPTIMIZE, and Z-ORDER tuned for real query patterns.
Move data with Pipelines, Dataflow Gen2, Mirroring, and Shortcuts - choosing by latency and cost.
Stream events end-to-end from Eventstream through Eventhouse, KQL, Real-Time Dashboards, and Activator triggers.
Deliver sub-second BI with Direct Lake semantic models, including framing, fallback control, and incremental refresh.
Govern Fabric with workspace roles, OneLake RBAC, sensitivity labels, Purview integration, and audit logs.
Ship with Git integration, deployment pipelines, dev/test/prod promotion, and Fabric REST API automation.
Right-size F-SKU capacity, prevent throttling via smoothing and bursting, and keep the platform under budget.
RequirementsComfort with SQL - SELECT, JOIN, GROUP BY, CTEs, window functions.
Basic Python - variables, functions, dataframes (PySpark is taught from scratch).
A free Microsoft Fabric trial (60-day F64-equivalent) - link provided in the first lesson. No prior Fabric, Synapse, or Power BI experience required.
DescriptionOne platform. Seven workloads. One copy of your data. Microsoft Fabric collapses analytics sprawl into a single SaaS surface - and this course makes you fluent on every layer of it.You will not just tour features. You will architect a real F-SKU capacity, build a Lakehouse with V-Order, ship Spark notebooks on Fabric pools, model a Warehouse star schema, mirror Snowflake and Cosmos into OneLake with zero ETL, stream events through Eventhouse and KQL, deliver sub-second BI on Direct Lake, trigger real-world actions with Data Activator, and deploy everything through Git with deployment pipelines. The capstone is ContosoMart - a complete retail analytics platform you build end-to-end and score against an 8-dimension architect's rubric.What makes this course different:Story-driven lessons. Every module opens with a real scenario - not a feature list.Code-first. Over 40% of slides are runnable T-SQL, KQL, PySpark, REST, or PowerShell.Monday-morning implementable. Everything you learn maps to production work.Zero hallucination. Real syntax. Real APIs. Real Fabric features as of 2026.Modules that connect. Each one builds on the last and sets up the next.An architect's lens. Decision trees, anti-patterns, and the "when not to use it" matrix on every workload.The platform you will master: the Fabric capacity model (F2 → F2048, smoothing, bursting, throttling), OneLake (the OneDrive-for-data, shortcuts, ACLs), the Lakehouse with V-Order and the SQL endpoint, the Warehouse with elastic T-SQL and zero-copy clones, Spark on Fabric pools with custom environments and runMultiple, Mirroring for Snowflake / Databricks / Azure SQL / Cosmos, Pipelines and Dataflow Gen2, Eventstream for streaming ingestion, Eventhouse and KQL for time-series and telemetry, Real-Time Dashboards, Direct Lake semantic models with framing and fallback control, full BI delivery (calculation groups, dynamic RLS, paginated reports), Data Activator for trigger-driven workflows, applied ML with MLflow + SemPy + PREDICT, Copilot patterns and limits, Fabric security (workspace roles, OneLake RBAC, sensitivity labels, Purview, audit), Git + deployment pipelines + REST automation, the Fabric performance playbook (V-Order, OPTIMIZE, Z-ORDER, Spark AQE, Direct Lake reframing), cost control (capacity metrics app, pause/scale/autoscale, per-workload attribution), migration strategy from Synapse / Databricks / Snowflake, and senior-engineer troubleshooting muscle.The capstone: ContosoMart - a real retail analytics platform. You ingest via Mirroring + Eventstream + Pipelines, model bronze/silver/gold + a Warehouse star schema, stream KQL operations dashboards, deliver an executive Power BI report on Direct Lake, deploy via Git and deployment pipelines, and finally score the build against the 8-dimension rubric Microsoft architects use in real reviews.Who this is for:Data engineers and analytics engineers evaluating, piloting, or rolling out Microsoft FabricSynapse, Databricks, and Snowflake practitioners who want a clean translation map to FabricBI developers ready to graduate from Power BI alone to the full platform (Lakehouse, Warehouse, Direct Lake)Platform engineers responsible for governance, ALM, and capacity cost on FabricData architects who need an end-to-end mental model and a 5-option migration rubricAnyone preparing for the Microsoft DP-700 Fabric Data Engineer Associate exam who wants depth, not just factsBy the end of this course, you will be able to architect, build, govern, optimise, deploy, and cost-tune a complete Microsoft Fabric platform - confidently, from scratch, on a real F-SKU.Enrol now. Fabric is where Microsoft's data stack lives next. Make it your home.
Data engineers and analytics engineers evaluating, piloting, or rolling out Microsoft Fabric.,Synapse, Databricks, and Snowflake practitioners who want a clean translation map to Fabric.,BI developers moving from Power BI alone to the full platform - Lakehouse, Warehouse, and Direct Lake.
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