Regtab is a Java library for data extraction from arbitrary tables represented in machine-readable formats

This is an Oracle DB Data Warehouse and ETL implementation on specially formatted Water Quality dataset from DEFRA, UK

Data Engineering Project on Supply Chain ETL. Creating a dynamic ADF pipeline to ingest both Full Load and Incremental Load data from SQL Server and then transform these datasets based on medallion architecture using Databricks.

ETL for Wordle game

This notebook scrapes information about the largest banks by market capitalization from a wiki page, and stores the information both as a CSV and as a JSON file.

AtliQ Grands hotel Data Analysis using Power BI

Data Construct-Populate-Access-Manage - Open source data warehouse solution.

This repository comprises the design, implementation, and analysis of a near real-time data warehouse prototype for an electronics business chain, utilising a multi-threaded Extract, Transform, Load (ETL) pipeline leveraging the efficient HYBRIDJOIN algorithm implemented with Java and MySQL on customer sales data.

An analysis of Citi Bike with Tableau from January 2018 - September 2019

Created an automated pipeline that takes in new data from a movie set. Performed the appropriate transformations, and loaded the data into existing tables. Performed the ETL process by adding the data to a PostgreSQL database.

Final Code from the CHM090 Efficacy Project

Use Extract, Transform, Load (ETL) process on several movie datasets to create data pipelines and predict popular films.

Among the beginning steps for Data Analyis, Data Preparation plays an important role to have clean, error free, clear formatted dataset to train/test the model on.

Extract-Transform-Load tool based on Message passing, self reprocessing XML pipeline

Application of Python libraries, like Pandas, and their useful functions for performing efficient Extract, Transform, and Load (ETL) process.

This certification focuses on in-demand skills like data modeling, data visualization, and dashboarding and reporting.

The purpose of this project is to extract, transform & load datasets into a database in pgAdmin while providing step by step instructions for users to follow.decided to observe active COVID-19 cases across the world in relation to continued vaccination efforts running from January 1, 2021 to March 21, 2021. We have successfully extracted, transf…

NYC TLC Data Analysis using Python, GCP Storage, Compute Engine, Mage Data Pipeline Tool, BigQuery, and Looker Studio. Aims to extract insights from the dataset for informed decisions and deeper operational understanding.

Approximately 10 people are shot on an average day in Chicago. This project focuses on Poverty and Crime in Chicago Neighborhoods. Full-Stack Project.

Student project #1 - Web scraping, use Python basics to create a program that automate the process of extracting, transform and load data from the online library "Books to Scrape".