https://github.com/clarelgibson/make-me-a-star
A collection of projects to transform raw or flat data into a "star schema" model for use in BI tools (primarily Power BI).
https://github.com/clarelgibson/make-me-a-star
Last synced: 3 months ago
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A collection of projects to transform raw or flat data into a "star schema" model for use in BI tools (primarily Power BI).
- Host: GitHub
- URL: https://github.com/clarelgibson/make-me-a-star
- Owner: clarelgibson
- License: cc0-1.0
- Created: 2022-02-10T21:12:56.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-13T21:04:22.000Z (over 3 years ago)
- Last Synced: 2025-01-14T06:45:38.301Z (4 months ago)
- Language: HTML
- Size: 421 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Make Me A Star
A collection of projects to transform raw or flat data into a "star schema" model for use in BI tools (primarily Power BI).
The [star schema](https://en.wikipedia.org/wiki/Star_schema) is considered [best practice](https://docs.microsoft.com/en-us/power-bi/guidance/star-schema) for developing business intelligence (BI) data models and data warehouses that are optimized for performance and usability. It is the system of modeling that is most recommended for use in the BI tool [Power BI](https://powerbi.microsoft.com/en-gb/).
In this repository I aim to showcase various examples of creating a star schema from raw data. While the primary target of these models is for use in Power BI, and while it is perfectly possible to build a star schema using Power BI infrastructure ([Power Query](https://powerquery.microsoft.com/en-us/) and [DAX](https://support.microsoft.com/en-gb/office/quickstart-learn-dax-basics-in-30-minutes-51744643-c2a5-436a-bdf6-c895762bec1a)), for the purposes of my repository I intend to create the required tables using R so that the steps taken to reach the star model can be easily documented.
## [US Manufacturers](/us-manufacturers)
This example is taken from the [Datacamp](https://app.datacamp.com/learn) course on [Data Modeling in Power BI](https://app.datacamp.com/learn/courses/data-modeling-in-power-bi). The dataset comes from the [United States Census Bureau](https://www.census.gov/) and looks at the [Annual Survey of Mannufactures](https://www.census.gov/programs-surveys/asm.html) for [2019 and 2018](https://data.census.gov/cedsci/table?q=AM1831BASIC&tid=ASMAREA2017.AM1831BASIC01&hidePreview=true).