🏗️ SQL-Mastery-Journey

Documenting my path to Data Architecture | Brand: Data With RISHAL

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🗺️ Roadmap & Curriculum

This repository is organized into strategic modules designed to master database engineering from the ground up.

📁 01-Basic-Querying

• Focus: Foundations of data retrieval.
• Concepts: SELECT, FROM, WHERE, LIMIT, and Aliasing.
• Industry Scenario: Initial data exploration.
• Status: ✅ Complete

📁 02-Advanced-Filtering-Logic

• Focus: Business Intelligence and Logic.
• Concepts: IN, BETWEEN, LIKE (Wildcards), and Logical Operators (AND/OR).
• Industry Scenario: Retail Performance Analytics for high-margin inventory.
• Status: ✅ Complete

📁 03-Data-Aggregations

• Focus: Statistical Insights & Business Metrics.
• Concepts: GROUP BY, SUM(), AVG(), COUNT(), and HAVING.
• Industry Scenario: Executive-level Q1 Sales Reporting.
• Status: ✅ Complete

📁 04-Relational-Joins

• Focus: Data Connectivity & Schema Relationships.
• Concepts: INNER JOIN, LEFT JOIN, ON clause, and Table Aliasing.
• Industry Scenario: Mapping Customer Journeys & Order History.
• Status: ✅ Complete

📁 05-DDL-Table-Creation

• Focus: Database Structural Engineering.
• Concepts: CREATE TABLE, ALTER TABLE, Data Types (INT, VARCHAR, DECIMAL), and Default Values.
• Industry Scenario: Designing an Inventory Management Schema.
• Status: ✅ Complete

📁 06-Data-Integrity-Constraints

• Focus: Protecting Data Quality.
• Concepts: PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK, and DEFAULT.
• Industry Scenario: Enforcing Business Rules in a User Management System.
• Status: ✅ Complete

📁 07-Data-Manipulation-DML

• Focus: Managing the Data Lifecycle.
• Concepts: INSERT INTO, UPDATE, DELETE, and WHERE clause safety.
• Industry Scenario: Real-time Inventory Updates and Record Maintenance.
• Status: ✅ Complete

📁 08-Performance-Engineering

• Focus: Query Optimization & System Performance.
• Concepts: B-Tree Indexing, Composite Indexes, and SQL Views.
• Architectural Goal: Minimizing latency and abstracting schema complexity for scalable applications.
• Status: ✅ Complete

📁 09-Advanced-Data-Modeling

• Focus: Complex Logical Structures & Modular SQL.
• Concepts: Common Table Expressions (CTEs), Recursive Queries, and Correlated Subqueries.
• Architectural Goal: Writing readable, maintainable, and high-performance logic for business intelligence.
• Status: ✅ Complete

📁 10-Database-Automation

• Focus: Server-Side Logic & Automation.
• Concepts: Stored Procedures, DELIMITER, Parameters (IN/OUT), and Encapsulation.
• Architectural Goal: Reducing network traffic and centralizing business logic within the database.
• Status: 🏆 COMPLETED

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🛠️ Tech Stack

• IDE: MySQL Workbench
• Version Control: GitHub Desktop / Git

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“Designing the blueprints for tomorrow's data today.”