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Showcases both SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) skills, including schema design, CRUD operations, query optimization, and backend integration.

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πŸ—„οΈ SQL_NoSQL_Explorer

A comprehensive database repository for learning MongoDB (NoSQL) and SQL (RDBMS).
Includes tutorials, best practices, and hands-on examples for CRUD, aggregation, indexing, transactions, security, replication, and database DevOps.


🎯 Goals

  • Learn MongoDB and SQL fundamentals and advanced concepts
  • Perform CRUD operations, data modeling, and indexing
  • Understand replication, sharding, and high availability
  • Apply security best practices and role-based access
  • Optimize queries and database performance
  • Explore ORM, ETL, and DevOps practices

πŸ“š Topics Covered

🟒 MongoDB (NoSQL)

  • MongoDB Overview & Use Cases
  • Installation and Setup
  • Databases, Collections, Documents
  • CRUD Operations (Mongo Shell & Drivers)
  • Schema vs Schema-less, ObjectId Structure
  • Queries: find, filter, projection
  • Inserting, Updating, Deleting Documents
  • Indexes: Single-field & Compound
  • Aggregation Framework & Pipelines
  • Map-Reduce Operations
  • Data Modeling Principles
  • Arrays, Sub-documents, and Pagination
  • Bulk Operations, Change Streams
  • Sharding, Replica Sets, Replication & Consistency
  • Transactions, TTL Indexes, Geospatial Queries
  • GridFS File Storage
  • Encryption at Rest & In Transit
  • Query Performance Profiling & Index Optimization
  • Caching Patterns
  • Monitoring, Backup & Restore
  • Security: Authentication, Authorization, Auditing, RBAC
  • Best Practices for Security & Performance

πŸ”΅ SQL (Relational Databases)

  • RDBMS Overview & Use Cases
  • SQL Basics: DDL (CREATE, ALTER, DROP) & DML (SELECT, INSERT, UPDATE, DELETE)
  • Data Types & Constraints (Primary Key, Foreign Key)
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Aggregate Functions: COUNT, SUM, AVG
  • GROUP BY, HAVING, ORDER BY, DISTINCT
  • Subqueries, Nested Queries, Views, Materialized Views
  • Stored Procedures, Functions, Triggers
  • Transactions & ACID Properties
  • Indexes, Execution Plans, Query Profiling, Optimization
  • Window Functions, Common Table Expressions (CTE)
  • Partitioning & Temporal Tables
  • Full-Text Search
  • Replication, Sharding, High Availability
  • Database Migrations & Schema Versioning
  • Data Warehousing & ETL Processes
  • Backup, Restore, Monitoring, Alerting
  • ORM Overview & SQL Injection Prevention
  • DevOps & Data Governance for Databases
  • Compliance & Auditing

🧾 Folder Structure

SQL_NoSQL_Explorer/
β”œβ”€β”€ MongoDB/
β”‚   β”œβ”€β”€ CRUD/
β”‚   β”œβ”€β”€ Aggregation/
β”‚   β”œβ”€β”€ Indexes/
β”‚   β”œβ”€β”€ Transactions/
β”‚   └── Security/
β”œβ”€β”€ SQL/
β”‚   β”œβ”€β”€ Basics/
β”‚   β”œβ”€β”€ Joins_Aggregates/
β”‚   β”œβ”€β”€ Stored_Procedures/
β”‚   β”œβ”€β”€ Transactions/
β”‚   └── Optimization/
└── README.md

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Showcases both SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) skills, including schema design, CRUD operations, query optimization, and backend integration.

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