Sparkify is a music streaming start-up company. The have collected many songs and user activities data through their music app. And the analytics team is particularly interested in understanding what songs users are listening to.

The goal is to create a database schema and ETL pipeline for this analysis. The database and ETL pipeline will be tested by running queries given by the analytics team from Sparkify and compare results with their expected results.

Project_1B_ Project_Template.ipynb reads and processes a single file from event folder and loads the data into your tables. This notebook contains detailed instructions on the ETL process for each of the tables.