"""Sparkify is a start-up that wants to analyze the data they've been collecting on songs and user activity on their new music streaming app. The analytics team is particularly interested in understanding what songs users are listening to. Currently, they don't have an easy way to query their data, which resides in a directory of JSON logs on user activity on the app, as well as a directory with JSON metadata on the songs in their app."""
0) Create a redshift cluster and add to dwh.cfg the appropriate fields for connecting it to our S3 bucket
create_tables.py drops and creates your tables. You run this file to reset your tables before each time you run your ETL scripts.
etl.py loads the json data from the S3 bucket, stages it to two tables (event and songs tables) then creates the star schema database
sql_queries.py contains all your sql queries, and is imported into the last three files above. README.md provides discussion on your project.
