Understanding NoSQL: Scalability and Data Models

📋 Course Outline

1. NOSQL & Definition
2. Scaling & Horizontal Methods
3. CAP Theorem & Properties
4. Data Models & Types
5. Key-Value & API
6. Document & JSON
7. Column-Based & Families
8. Graph & Interconnectivity
9. Tradeoffs & NoSQL Use
10. Next-Gen & NewSQL

📖 1. NOSQL & Definition

🔑 Key Concepts & Definitions

• NOSQL (Not Only SQL): A class of non-relational databases designed to handle large-scale, distributed data with flexible schemas, offering high scalability and performance.
• Schema-less Data: Data stored without a fixed schema, allowing dynamic and flexible data models such as JSON, XML, or key-value pairs.
• Horizontal Scalability: The ability to increase capacity by adding more servers or nodes, essential for handling big data and high traffic.
• CAP Theorem: A principle stating that in a distributed system, it is impossible to simultaneously guarantee Consistency, Availability, and Partition Tolerance; systems must choose two.
• Eventual Consistency: A consistency model where updates propagate asynchronously, and all nodes will eventually become consistent without strict real-time guarantees.
• Types of NOSQL DBMS: Categorized into key-value, document-based, column-based, and graph-based systems, each optimized for specific data models and use cases.

📝 Essential Points