Content Performance & Music Catalog Analytics Dataset
Group: Dataset
|Product Category: Database Design & Development
|Sub Category: PostgreSQL
About this Product
Evaluate content performance, measure listener preferences, and optimize music catalogs with structured, SQL-ready analytics datasets.
Business Overview:
This dataset focuses on catalog and content performance, offering relational data across songs, albums, artists, and genres. It enables detailed analysis of music consumption trends and supports catalog optimization efforts.
Product Highlights:
- Well-structured CSV datasets (
songs,albums,artists,genres,listening history) - Allows analysis of content hierarchy and performance
- Ideal for editorial teams, licensing strategy, and A&R functions
- Supports SQL practice on normalized catalog data
Learning Outcomes:
- Analyze genre and album-level engagement
- Evaluate completion rates and song performance
- Practice many-to-many mapping through song-genre tables
- Understand relational data modeling in media analytics
Resources
Captures timestamped listening events for users across songs. Enables behavioral modeling, listening trend analysis, and peak usage discovery.
Key Features:
- Tracks listening sessions with user and song references
- Timestamped to support daily, weekly, or seasonal analysis
- Core dataset for behavioral and engagement analytics
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