[Verse 1] Meet Sarah, data architect supreme Building warehouses for her company's dream Sales numbers scattered across the floor Customer info behind every door She needs a structure, clean and bright To organize this data flight Star schema calls her name tonight Facts in center, dimensions take flight [Chorus] Star schema shining, facts surrounded Dimensions orbit, truth expounded Sales and revenue at the core Customer, product, time and more Snowflake branches when you need Normalized tables, less to feed Storage saved but queries complex Choose your weapon, what comes next [Verse 2] Fact tables hold the measurable gold Revenue figures, stories told Quantities sold and dollars earned Every transaction that's been turned Dimension tables paint the scene Who and what and where it's been Customer names and product lines Geographic regions, temporal signs [Chorus] Star schema shining, facts surrounded Dimensions orbit, truth expounded Sales and revenue at the core Customer, product, time and more Snowflake branches when you need Normalized tables, less to feed Storage saved but queries complex Choose your weapon, what comes next [Bridge] Slowly changing dimensions creep Type one overwrites, no history to keep Type two adds rows for every shift Tracking changes, temporal drift Type three keeps both old and new Columns showing different views Sarah chooses based on need Historical truth or current deed [Verse 3] Snowflake schema breaks apart Dimension tables, work of art Customer table splits in three Demographics separately Address details find their home Normalized, no longer prone To redundancy's wasteful ways But joins multiply through the maze [Outro] Sarah's warehouse stands complete Star for speed, snowflake neat Facts and dimensions dance in rows Slowly changing as time flows Query performance meets the test Data architecture at its best
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