This repository focuses on developing and optimizing an e-commerce database. It includes comprehensive database design, advanced query techniques, and performance optimization strategies.
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Updated
Oct 30, 2024 - PLpgSQL
This repository focuses on developing and optimizing an e-commerce database. It includes comprehensive database design, advanced query techniques, and performance optimization strategies.
120 years of Olympic history: athletes and results from basic biodata on athletes and medal results from Athens 1896 to Rio 2016.
This project involved analyzing data for Rockbuster Stealth LLC, a fictional movie rental company transitioning to an online video rental service.
This repository has the code for my SQL project where I have created a database in MySQL for a blood bank containing all the necessary information such as the details of the staff such as: Managers, Recording Staff, Disease Finders, etc. Details of Blood Specimens and donors and visits as well. It also has queries that can be used on real data.
A comprehensive IMDB dataset analysis using SQL. Includes database setup, advanced queries, and actionable insights. Organized with files for database creation, queries, and solutions. Features an Entity-Relationship Diagram (ERD), executive summary, and SQL scripts. Perfect for SQL workflows and business intelligence in the film industry.
Demonstrations of subqueries (correlated, uncorrelated, complex, common table expressions), summary queries (aggregate, grouping, summarizing, window, named window, frame functions), joins, date time data types (passing, extracting, date time calculations), IF/IF NULL/COALESCE/CASE statements, regular expressions, ranking functions
SQL Project on Pizza Sales
SQL PROJECT FOR DATA ANALYSIS
A Data Collection and Storage project using SQL from TripleTen
This repository (in spanish language) contains study material, codes, and exercises in the Databases Laboratory course taught at UCSC in the 2024-1 semester.
Analysis using SQL
SQL queries developed as part of a data analysis project. Includes analysis of job data, queries for insights into job categories, salaries, and customer behavior. Techniques used include JOINS, CTEs, subqueries, and aggregate functions. Inspired by DataNerd's YouTube tutorial: https://www.youtube.com/watch?v=7mz73uXD9DA
Answers for the LeetCode SQl 50 Questions.
Tasks from my course MYSQL at SoftUni
Homework solutions for SoftUni PostgreSQL course
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