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subqueries-and-joins

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This repository focuses on developing and optimizing an e-commerce database. It includes comprehensive database design, advanced query techniques, and performance optimization strategies.

  • Updated Oct 30, 2024
  • PLpgSQL

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

  • Updated Oct 18, 2024

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

  • Updated Sep 16, 2024
  • PLpgSQL

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