{"repo":"pregismond/python-project-for-data-engineering","free":true,"listed":false,"github":"https://github.com/pregismond/python-project-for-data-engineering","clone":"git clone https://github.com/pregismond/python-project-for-data-engineering.git","description":"Acquiring and processing information on world's largest banks","language":"Jupyter Notebook","stars":20,"topics":["beautifulsoup","coursera","data-engineering","ibm-skills-network","python","jupyter-notebook","sqlite","etl"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"Acquiring and Processing Information on the World's Largest Banks Disclaimer This repository contains my submission for the Final Project: Acquiring and processing information on world's largest banks . The original files were provided by the IBM Skills Network as part of the Python Project for Data Engineering course on Coursera. Usage You are welcome to use this repository as a reference or starting point for your own project. If you choose to fork this repository, please ensure that you comply with the terms of the Apache License and give proper credit to the original authors. Objectives Extract real-world data from a public website using Webscraping and Requests API in Python Transform the data as per the problem statement Load the data in the required file format as well as a SQLite database Query the database to retrieve filtered information from the table Project Scenario A multi-national firm has hired you as a data engineer. Your job is to access and process data as per requirements. Your boss asked you to compile the list of the top 10 largest banks in the world ranked by market capitalization in billion USD. Further, you need to transform the data and store it in USD, GBP, EUR, and INR per the exchange rate information made available to you as a CSV file. You should save the processed information table locally in a CSV format and as a database table. Managers from different countries will query the database table to extract the list and note the market capitalizati","default_branch":null,"files":null,"tree":[],"storefront":"/r/pregismond","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/pregismond/python-project-for-data-engineering/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}