BankNatchapol / ETL-Apache-Cassandra

Create a ETL Pipeline for Data Modeling task with Apache Cassandra

ETL Apache Cassandra

Create a ETL Pipeline for Data Modeling task with Apache Cassandra

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Table of Contents

1. About The Project
2. Dataset
   • Event Dataset
3. Getting Started
   • Installation
   • ETL Processes
4. Contact

About The Project

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.

Dataset

Event Dataset

Path files example

event_data/2018-11-08-events.csv
event_data/2018-11-09-events.csv

Below is an example of what the data in a log file, 2018-11-12-events.json, looks like.

Data Model

This is my database Star Schema.

Getting Started

Installation

install package with requirements.txt

pip install - requirements.txt

ETL Processes

• run python create_keyspace.py to create keyspace
• run python etl.py to do ETL
• watch results in test.ipynb

Contact

Facebook - @Natchapol Patamawisut

Project Link: https://github.com/BankNatchapol/ETL-Apache-Cassandra