Disaster Response Message Classifier according to priority and type and ETL/ML Pipeline

This is an ETL script that extracts data from JSON files and creates a Data Warehouse with a Star Schema to analyze sparkify's user's songplay behavior

This assignment was part of an IoT motion sensor App running on a watch, predicting actions of the individual wearing the watch based on his arm movements; this IoT Analytics assignments is one of a series of data pipeline coding challenges in the IBM course Scalable Data Science.

ETL data pipeline to explore movie data

Udacity - Data Engineering Nanodegree (Project 1)

MSCI436 Term Project

Disaster Response Pipeline

An airflow pipeline for building and scoring NBA daily fantasy models

Udacity Data Engeneering Nanodegree Program - My Submission of Project: Data Pipelines

End-to-end machine learning pipeline to classify disaster messages into 36 categories and a web app to deploy the trained model.

Data Modeling with PostgreSQL.

This repository is created automation for processing local data to Cloud BigQuery using Cloud Dataproc

Created a Postgres database and built an ETL pipeline to optimize queries on song play analysis. The fact and dimension tables for a star database schema for a particular analytic focus are defined, and an ETL pipeline that transfers data from files in two local directories into these tables in Postgres using Python and SQL was developed.

Extracted data from two sources, transformed the data into one clean data set, and loaded this data set into a SQL table, where the data could be analyzed.

This project is all about Data Integration. It involved all the ETL (Extract, Transform and Load) operations. In this project, the ETL was done once by using SQL queries and once by using SSIS (SQL Server Integration Services)

Performed the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.

OpenClassrooms student project. Build an ETL tool.

ETL (extract, transform, load) pipeline project that involves extracting data from flat files, manipulating and organizing the data through a series of transformation steps, and loading the resulting data into an SQLite database.