Music Analysis ETL: Dive into Listening Trends with Cassandra
-This project builds a powerful Apache Cassandra database to analyze user listening trends.
- Data Source: Dive into a collection of CSV files rich with user listening behavior. Data Modeling: Craft Cassandra tables that efficiently store and retrieve song play data. ETL Pipeline: Build a Python script to seamlessly extract, transform, and load data into Cassandra. Querying Power: Unleash your analytical prowess with custom queries to uncover hidden trends and patterns.
Tools:
- Apache Cassandra: The NoSQL champion, offering scalability and lightning-fast querying for your music data.
- Python: The versatile scripting language to wrangle data and build your ETL pipeline.