Databases provide the uniform structure required to store vast amounts of data in a readily accessible manner. AI practitioners must be able to navigate their tables as a sailor would read the constellations in the night sky. ![[DALLE3_Databases.png]] ## Concept Tree ### Basic 1. **Introduction to Databases** - Definition of Database - Database Management Systems (DBMS) 2. **Tables and Data Types** - Creating Tables - Data Types 3. **SQL Queries (CRUD Operations)** - Select Queries - Insert, Update, Delete Operations 4. **Relationships** - One-to-One Relationships - One-to-Many Relationships - Many-to-Many Relationships ### More Advanced 1. **Designing Relational Databases** - Entity-Relationship Diagrams (ERD) - Database Schema Design 2. **Normalization** - First Normal Form (1NF) - Second Normal Form (2NF) - Third Normal Form (3NF) - Higher Normal Forms 3. **Transactions** - ACID Properties - Transaction Management 4. **Indexes** - Index Types - Creating and Managing Indexes 5. **Complex SQL Queries** - Joins - Subqueries - Stored Procedures and Triggers ### Mastery 1. **Non-Relational Databases (NoSQL)** - Introduction to NoSQL - Document Stores (e.g., MongoDB) - Key-Value Stores (e.g., Redis) - Column-family Stores (e.g., Cassandra) 2. **Database Scaling** - Horizontal vs. Vertical Scaling - Sharding - Replication 3. **Database Security** - Authentication and Authorization - Data Encryption 4. **Database Optimization** - Query Optimization - Performance Tuning - Database Caching 5. **Integration with AI and Data Science Tools** - Connecting Databases to Machine Learning Models - Data Pipelines