The content of the following section is from the project statement provided by Udacity.
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.
The content of the following section is from the project statement provided by Udacity.
For this project, you'll be working with one dataset:
event_data. The directory of CSV files partitioned by date. Here are examples of filepaths to two files in the dataset:
event_data/2018-11-08-events.csv
event_data/2018-11-09-events.csvDISCLAIMER: This project is part of the Data Engineering Nanodegree Program from Udacity. You must abide by Udacity's Honor of Code, and in particular, you must submit your own work or attribute my code if you want to use part of my solution.
The project is released under the MIT License. See the LICENSE.md file for details.
Copyright (c) 2020 Nasseredine Bajwa.