[Verse 1] Meet Maria, she's designing data stores today Traditional tables felt too rigid in every way She discovered documents, flexible and free Like keeping files in folders, naturally JSON structures hold her customer data Name and address, purchases in an array-a No fixed columns, just key-value pairs Each document different, nobody cares [Chorus] Document databases, flexible and bright JSON on the outside, BSON stored inside Embed or reference, that's the choice you make Schema-on-read means freedom for data's sake MongoDB and DynamoDB lead the way NoSQL solutions for the modern day [Verse 2] Now Maria faces a crucial decision time Should she embed the data or reference by design? Customer orders nested right inside their profile Or separate collections linked by ID file? Embedding works when data stays together Like storing addresses that rarely change, never But referencing wins when data grows apart Order histories need their own fresh start [Chorus] Document databases, flexible and bright JSON on the outside, BSON stored inside Embed or reference, that's the choice you make Schema-on-read means freedom for data's sake MongoDB and DynamoDB lead the way NoSQL solutions for the modern day [Bridge] Schema-on-read means structure comes later When you query the data, not from the creator Unlike SQL tables with columns defined upfront Documents adapt to whatever you want BSON adds efficiency, binary and fast Dates and numbers properly cast While JSON keeps it human readable Document flexibility, truly believable [Verse 3] Maria's system scales across the globe now MongoDB clusters handle the load somehow DynamoDB serves millions without breaking down NoSQL power wearing the crown Collections replace the old table way Documents flow like conversation today No joins required when data's embedded right Schema flexibility, developer's delight [Outro] From rigid rows to flexible documents we've grown JSON structures in a NoSQL zone Embed when together, reference when apart Schema-on-read is the flexible art
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