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Hospital Database Management System (DBMS) is a comprehensive SQL project designed to streamline and optimize the management of hospital operations. This project aims to provide an efficient and user-friendly solution for storing, retrieving, and manipulating various types of healthcare-related data.
The Fifa-Dataset-SQL-Data-Analysis project uses SQL to explore FIFA player data, analyzing performance and attributes to extract meaningful insights on player statistics, trends, and patterns in football.
This implementation puts a twist on the Standard Treap (randomized search tree) in the sense that I add the idea of self-organizing data structures on top, To implement a Database (collection of rows that are somehow related) Indexing.
Advanced Sql Interview Questions that covers topics like CTE, Analytics Window Functions, Aggregation Functions, Subqueries these topics will help you to boost your interview questions
Using POWER BI to perform data visualization in different domains to show insights, trends and forecasts by using different datasets like excel, csv and SQL.
An SQL Analysis of Female Diabetic patients based on their health information.This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases.All patients here are females that are at least 21 years old of Pima Indian heritage.
This project primarily focuses on the core concepts of DBMS, such as transactions, ACID properties, data consistency, conflicting and non-conflicting serializability, rollbacks, commits and concurrency,
A full API service for recipes. This application is built using Python, MSSQL Database, SQL Queries, Docker, and FastAPI providing a comprehensive solution for managing and sharing your recipes.