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Computer Science
Distributed Systems
Distributed Database Systems
1. Fundamentals of Distributed Systems
2. Distributed Database Architecture
3. Data Distribution Design
4. Distributed Query Processing
5. Distributed Transaction Management
6. Reliability and Recovery in Distributed Systems
7. Data Replication and Consistency
8. Modern Distributed Data Architectures
9. Distributed Database Security
10. Performance and Optimization
11. Emerging Trends and Future Directions
8.
Modern Distributed Data Architectures
8.1.
The CAP Theorem
8.1.1.
Consistency
8.1.2.
Availability
8.1.3.
Partition Tolerance
8.1.4.
Understanding the Trade-offs
8.1.4.1.
Real-World Implications
8.1.4.2.
System Design Choices
8.1.4.3.
CAP Theorem Limitations
8.2.
The BASE Properties
8.2.1.
Basically Available
8.2.2.
Soft State
8.2.3.
Eventual Consistency
8.2.4.
Comparison with ACID
8.3.
NoSQL Databases
8.3.1.
Motivations and Characteristics
8.3.1.1.
Schema Flexibility
8.3.1.2.
Scalability
8.3.1.3.
High Availability
8.3.1.4.
Performance Requirements
8.3.2.
Categories of NoSQL Systems
8.3.2.1.
Key-Value Stores
8.3.2.1.1.
Architecture
8.3.2.1.2.
Use Cases
8.3.2.2.
Document Stores
8.3.2.2.1.
Document Model
8.3.2.2.2.
Query Capabilities
8.3.2.3.
Column-Family Stores
8.3.2.3.1.
Wide Column Model
8.3.2.3.2.
Distributed Architecture
8.3.2.4.
Graph Databases
8.3.2.4.1.
Graph Model
8.3.2.4.2.
Query Languages
8.4.
NewSQL Databases
8.4.1.
Bridging Relational and NoSQL
8.4.1.1.
ACID Compliance
8.4.1.2.
Scalability Features
8.4.1.3.
SQL Compatibility
8.4.2.
Architectural Approaches
8.4.2.1.
Shared-Nothing Architecture
8.4.2.2.
Distributed Query Engines
8.4.2.3.
In-Memory Processing
8.4.3.
Sharding for Scalability
8.4.3.1.
Shard Key Selection
8.4.3.2.
Rebalancing Shards
8.4.3.3.
Cross-Shard Queries
8.5.
Polyglot Persistence
8.6.
Microservices and Database Per Service
8.7.
Event Sourcing and CQRS
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7. Data Replication and Consistency
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9. Distributed Database Security