[Verse 1]
In the data warehouse where the tables grow
There's a tool called dbt that helps the data flow
Models transform your raw data clean
Tests ensure your pipeline's running lean
Documentation tells the story clear
Lineage shows how data paths appear
[Chorus]
Analytics engineering, building data right
Models tests and docs make everything bright
From warehouse to tools and back again
Semantic layers help the business win
Observability keeps watch all night
Analytics engineering, data done right
[Verse 2]
Dimensional modeling with facts and dims
Star schema makes your queries trim
One big table when you need it flat
Activity schema tracks where users are at
Choose your model based on how you'll use
The right design means you just can't lose
[Chorus]
Analytics engineering, building data right
Models tests and docs make everything bright
From warehouse to tools and back again
Semantic layers help the business win
Observability keeps watch all night
Analytics engineering, data done right
[Verse 3]
Reverse ETL takes your warehouse gold
Syncs it back to tools your teams behold
Salesforce, HubSpot, marketing too
Operational systems get the data view
From analytics back to where work gets done
The data circle now complete as one
[Bridge]
Semantic layers define what metrics mean
Consistent business logic keeps it clean
Monte Carlo watches for things gone wrong
Elementary tests keep your pipeline strong
Anomaly detection sounds the alarm
Data observability prevents all harm
[Chorus]
Analytics engineering, building data right
Models tests and docs make everything bright
From warehouse to tools and back again
Semantic layers help the business win
Observability keeps watch all night
Analytics engineering, data done right
[Outro]
From Kimball's toolkit to Reis and Housley's way
Kohavi's experiments guide us every day
Build it once and build it true
Analytics engineering will see you through