I'm going to run this course on Power BI service: <https://www.udemy.com/course/power-bi-service/learn/lecture/25124728#overview>
## Notes
### Setting expectations
- The course goes along with Power BI Desktop course. It is recommended to run that first. Hehe.
- Focus on the core parts of Power BI Service.
### Intro to PBI Service
#### Ecosystem
- The cloud environment to share reports and data.
- It connects to data directly.
- You can also build reports here, not just on PBI Desktop.
- Main environment for sharing and publishing.
- There is also PBI Mobile, but well, who cares about that.
Desktop vs Service
- Desktop can connect to more Databases than Service.
- Data Models can only be built in Desktop.
- DAX is only present in Desktop.
- Role level security can only be created in Desktop.
- Service has Gateways and Dataflows
- Service can package stuff into Workspaces and Apps.
- Both have Power Query.
#### Account Tiers
There are three individual accounts:
- Free
- Pro
- This is what report builders need.
- Around $9/month
- Can create workspaces
- Can create Email Subscriptions
- Can share reports with other Pro or Premium users
- Can create apps
- Premium per user
- All of Pro
- AI fancy thingies
- Advanced Dataflows
- Deployment Pipelines
- Other stuff nobody cares about
You can also buy a big, Premium org license. It pretty much means you buy it for the entire org. You still need to pay Pro licenses for report builders.

I have Pro in Superhog.
#### User Personas
- Creator: build stuff
- Analyzer: consumes stuff to answer business questions and creates his own stuff on the representation layer to some extent
- Collaborator: publishes stuff and manages workspaces/apps
#### UI
Fluffy stuff. Dear god, this UI is confusing and bloaty.
#### Workspaces
`My Workspace` is your personal folder for your own stuff.
All other workspaces are `Shared workspaces`.
The personal one doesn't have data flows (Power Query)
Content objects:
- Workbook, report or dashboard -> Visualize stuff
Data objects:
- Datasets and Dataflows
#### Building Blocks of Workspaces
- Datasets and workbooks: build from datasources
- Reports: pages with visuals and filters. Can use one or more datasets
- Dashboard: a collection of visuals that come from one or more reports