A startup called Sparkify wants to analyze the data they've been collecting on songs and user activity on their new music streaming app. The analysis team is particularly interested in understanding what songs users are listening to. Currently, there is no easy way to query the data to generate the results, since the data reside in a directory of CSV files on user activity on the app.
They'd like a data engineer to create an Apache Cassandra database which can create queries on song play data to answer the questions, and wish to bring you on the project. Your role is to create a database for this analysis. You'll be able to test your database by running queries given to you by the analytics team from Sparkify to create the results.
Here are examples of filepaths to two files in the dataset:
event_data/2018-11-08-events.csv
event_data/2018-11-09-events.csv
After process these datasets we will use event_datafile_new.csv and contains the followings columns
- artist
- firstName of user
- gender of user
- item number in session
- last name of user
- length of the song
- level (paid or free song)
- location of the user
- sessionId
- song title
- userId
