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SQL Joins Simplified ✅

SQL Zero to Hero ✅

10 Tools for SQL Developers 🛠📊 -

📄 SQL Server Management Studio (SSMS) - Manage and query SQL Server databases
🌐 phpMyAdmin - Web-based tool for MySQL database management
🔍 DBeaver - Universal database management tool
📊 Tableau - Data visualization and BI tool
⚙️ SQL Workbench/J - Cross-platform SQL query tool
🔐 pgAdmin - Management tool for PostgreSQL
🚀 Azure Data Studio - Lightweight and extensible data tool
📦 Toad for SQL - Database development and administration
📈 Datagrip - JetBrains SQL IDE for various databases
📂 HeidiSQL - Lightweight MySQL and MSSQL client

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SQL Cheatsheet

SQL Basics

#SQL JOINS Cheat Sheet

Essential SQL Topics for Data Analysts

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- Basic Queries: SELECT, FROM, WHERE clauses.
- Sorting and Filtering: ORDER BY, GROUP BY, HAVING.
- Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Aggregation Functions: COUNT, SUM, AVG, MIN, MAX.
- Subqueries: Embedding queries within queries.
- Data Modification: INSERT, UPDATE, DELETE.
- Indexes: Optimizing query performance.
- Normalization: Ensuring efficient database design.
- Views: Creating virtual tables for simplified queries.
- Understanding Database Relationships: One-to-One, One-to-Many, Many-to-Many.

Window functions are also important for data analysts. They allow for advanced data analysis and manipulation within specified subsets of data. Commonly used window functions include:

- ROW_NUMBER(): Assigns a unique number to each row based on a specified order.
- RANK() and DENSE_RANK(): Rank data based on a specified order, handling ties differently.
- LAG() and LEAD(): Access data from preceding or following rows within a partition.
- SUM(), AVG(), MIN(), MAX(): Aggregations over a defined window of rows.

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