An ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify.

Overview

Data Warehouse on AWS Redshift

ETL Pipeline in AWS Redshift and S3

Project Summary

In this project, I have built an ETL Pipeline of a large data set from a fictitious music streaming service named Sparkify. The ETL process flows from AWS's S3 into staging tables in AWS Redshift.

I then query the staged data into analytics tables. This will help Sparkify's analytics team get quicker insights about its customer base.

File Descriptions

create_tables.py

create fact and dimension tables for the star schema in Redshift.

sql_queries.py

define SQL statements, which will then be imported into the other files.

etl.py

load data from S3 into staging tables on Redshift, and then process that data into analytics tables on Redshift.

Design Decisions

Keyspace Star Schema

The star schema is used, with a fact table centered around dimension tables at its periphery.

Fact table: songplays -- every occurrence of a song being played is stored here.

Dimension tables:

  • users -- the users of the Sparkify music streaming app

  • songs -- the songs in Sparkify's music catalog

  • artists -- the artists who record the catalog's songs

  • time -- the timestamps of records in songplays, broken down into specific date and time units (year, day, hour, etc.)

Run Instructions

  1. Clone this repository, which will place the 3 .py files and the .cfg file into the same directory.

  2. Duplicate the dwh_template.cfg file to create a new file named dwh.cfg. Because this will contain private login credentials, be sure it is added to the .gitignore file.

  3. Fill in the [CLUSTER] and [IAM_ROLE] attributes from AWS, according to the IAM role and Redshift cluster already created. Please consult AWS's well-documented instructions as necessary.

  4. Run python create_tables.py to set up the Redshift data warehouse cluster.

  5. Run python etl.py. This will copy the 2 large tables from S3 into staging tables. After that, this will also populate the smaller dimension tables.

In this project, ETL pipeline is build on data warehouse hosted on AWS Redshift.

ETL Pipeline for AWS Project Description In this project, ETL pipeline is build on data warehouse hosted on AWS Redshift. The data is loaded from S3 t

Mobeen Ahmed 1 Nov 01, 2021
A lightweight, hub-and-spoke dashboard for multi-account Data Science projects

A lightweight, hub-and-spoke dashboard for cross-account Data Science Projects Introduction Modern Data Science environments often involve many indepe

AWS Samples 3 Oct 30, 2021
Stochastic Gradient Trees implementation in Python

Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th

John Koumentis 2 Nov 18, 2022
Yet Another Workflow Parser for SecurityHub

YAWPS Yet Another Workflow Parser for SecurityHub "Screaming pepper" by Rum Bucolic Ape is licensed with CC BY-ND 2.0. To view a copy of this license,

myoung34 8 Dec 22, 2022
Statistical package in Python based on Pandas

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F

Raphael Vallat 1.2k Dec 31, 2022
DaCe is a parallel programming framework that takes code in Python/NumPy and other programming languages

aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c

SPCL 330 Dec 30, 2022
This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP.

Overview Welcome to the Step-X repository. This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP. Be

Keanu Pang 0 Jan 20, 2022
A neural-based binary analysis tool

A neural-based binary analysis tool Introduction This directory contains the demo of a neural-based binary analysis tool. We test the framework using

Facebook Research 208 Dec 22, 2022
Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.

Data lineage made simple, reliable, and automated. Effortlessly track the flow of data, understand dependencies and analyze impact. Features Visualiza

898 Jan 09, 2023
Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.

Tweetmetric Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile. The

Mathis HAMMEL 29 Oct 18, 2022
ICLR 2022 Paper submission trend analysis

Visualize ICLR 2022 OpenReview Data

Jintang Li 75 Dec 06, 2022
Utilize data analytics skills to solve real-world business problems using Humana’s big data

Humana-Mays-2021-HealthCare-Analytics-Case-Competition- The goal of the project is to utilize data analytics skills to solve real-world business probl

Yongxian (Caroline) Lun 1 Dec 27, 2021
API>local_db>AWS_RDS - Disclaimer! All data used is for educational purposes only.

APIlocal_dbAWS_RDS Disclaimer! All data used is for educational purposes only. ETL pipeline diagram. Aim of project By creating a fully working pipe

0 Apr 25, 2022
Visions provides an extensible suite of tools to support common data analysis operations

Visions And these visions of data types, they kept us up past the dawn. Visions provides an extensible suite of tools to support common data analysis

168 Dec 28, 2022
Project: Netflix Data Analysis and Visualization with Python

Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut

Kathrin Hälbich 2 Feb 13, 2022
Intercepting proxy + analysis toolkit for Second Life compatible virtual worlds

Hippolyzer Hippolyzer is a revival of Linden Lab's PyOGP library targeting modern Python 3, with a focus on debugging issues in Second Life-compatible

Salad Dais 6 Sep 01, 2022
fds is a tool for Data Scientists made by DAGsHub to version control data and code at once.

Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc

DAGsHub 359 Dec 22, 2022
📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

Web Trader Web Trader is a trading website that consolidates data from Nasdaq, allowing the user to search up the ticker symbol and price of any stock

Paulina Khew 21 Aug 30, 2022
SparseLasso: Sparse Solutions for the Lasso

SparseLasso: Sparse Solutions for the Lasso Introduction SparseLasso provides a Scikit-Learn based estimation of the Lasso with cross-validation tunin

Gabriel Okasa 1 Nov 08, 2021
A Numba-based two-point correlation function calculator using a grid decomposition

A Numba-based two-point correlation function (2PCF) calculator using a grid decomposition. Like Corrfunc, but written in Numba, with simplicity and hackability in mind.

Lehman Garrison 3 Aug 24, 2022