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8 modules · ~32 min
Azure Data for Non-Engineers
A no-code tour of Azure's data stack — storage, pipelines, Databricks, Synapse/Fabric, Power BI, governance and cloud cost.
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What you'll be able to do
01
Understand what Azure is and its storage options
02
Follow Data Factory pipelines and Databricks
03
Know Synapse/Fabric warehouses and Power BI
04
Manage access, governance and cloud cost
Modules
8 in this track- 1What Azure Is in Plain EnglishLoginA jargon-free tour of what Microsoft Azure actually is and the handful of words you keep hearing at work.🔒
- 2Storage Accounts, Blob Storage & Data LakesLoginWhere Azure keeps your files — and what people mean by blobs, containers and data lakes.🔒
- 3Azure Data Factory & PipelinesLoginThe tool that moves and reshapes data on a schedule — explained without a line of code.🔒
- 4Databricks, Spark & NotebooksLoginWhat Databricks and Spark are, why notebooks matter, and the lakehouse idea — all in plain English.🔒
- 5Synapse, Fabric & WarehousesLoginWhat data warehouses are, and how Synapse and the newer Microsoft Fabric fit together.🔒
- 6Power BI, Semantic Models & DashboardsLoginHow Power BI turns data into reports — plus what semantic models, DAX and refresh actually mean.🔒
- 7Permissions, Access & GovernanceLoginWho can touch what in Azure — RBAC, Entra ID, least privilege and Purview, explained simply.🔒
- 8Cloud Costs: Compute, Storage & RefreshesLoginWhat actually drives an Azure bill — and the simple habits that keep it under control.🔒