HiAditHere / Restaurant-and-Inventory-Management-System

This is the project for course IE 6700 Data Management for Analytics

Restaurant-and-Inventory-Management-System

This is the project for course IE 6700 Data Management for Analytics

To create schema

I have used MYSQL workbench for this project. Run the Database.sql file. It will create the schema for you

SQL Queries

6 Sql queries have been run on the following queries. All these queries can be found in the SQL Queries folder. Their analytical purpose has been specified in the DMA_project report_final.pdf file.

MongoDB schema

MongoDb clusters were manually created on the Atlas(cloud). Data was populated in these clusters using python. Pymongo was used to connect to cluster and data was generated logically and populated. A sample file is given in the generator.py file.

NOTE: generator.py is a sample file and will not generate all the data in the mongoDB clusters.
Logic similar will be required to populate all the clusters. This is just a SAMPLE file

MongoDB Queries

These can be found in MongoDB folder. You can use VS code extension or Studio3t to connect to your clusters if they are deployed on cloud or run queries in command line if you have MongoDB installed locally and all clusters populated.

Conncect MYSQL with Python

Connecting MYSQL and Python has been demonstrated in the DMA project.ipynb file.

Final Project Report

DMA_project report_final.pdf . You can read this file for more information about building the conceptual model, constructing a relational model of it, normalizing it, analytical usecase of the queries etc.

Hope you like it