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This project involves designing, implementing, and analyzing an employee database using SQL. It includes three major components: data modeling, data engineering, and data analysis. The goal is to create a functional database for employee data, perform SQL queries to retrieve information, and extract meaningful insights.
This Project is about performing an Extract, Transform and Load Pipeline on Crowdfunding data using Python and Pandas. After transforming the data, we created four CSV files and used the CSV file data to create an ERD and a table schema. Finally, uploaded the CSV file data into a Postgres database.
Design the SQL tables and dependencies to hold the data from the CSV files, import the CSV files into a SQL database, and answer questions about the data.
Module 9 Challenge involves data modelling, engineering and analysis. Use of QuickDBD to sketch an ERD and table schemas, data type, primary and foreign key relationships. SQL queries for data analysis.
To answer important business questions for the company’s HR department, we utilized Postres SQL as the database to load, build, and host the company data. We used pgAdmin to run quarries and generated multiple analyses in a well-designed database with reporting capabilities. The final data reporting can be adapted by any large coorporation to pr…