# udemy-power-bi-service

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.

![Alt text](image.png)

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