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Main Characteristics of the Database Approach - Coggle Diagram
Main Characteristics of the Database Approach
Data Independence
Logical Data Independence
Physical Data Independence
Data Integration and Centralization
Centralized Data Storage
Data Sharing and Integration
Data Consistency and Integrity
Data Abstraction and Modeling
Conceptual Data Models (ER Model, UML)
Logical Data Models (Relational Model)
Physical Data Models (Storage Structures, Indexing)
Data Manipulation and Querying
Data Definition Language (DDL)
Data Manipulation Language (DML)
Query Languages (SQL, QBE, etc.)
Data Retrieval and Projection
Sorting and Grouping
Aggregation Functions
Data Security and Access Control
User Authentication
User Authorization
Role-Based Access Control
Data Encryption
Auditing and Logging
Data Consistency and Integrity
Entity Integrity (Primary Key Constraint)
Referential Integrity (Foreign Key Constraint)
Domain Constraints
Check Constraints
Transaction Isolation Levels
Concurrency Control
Data Recovery and Backup
Transaction Logging
Point-in-Time Recovery
Full and Incremental Backups
Restore and Rollback Operations
Data Concurrency and Transaction Management
ACID Properties (Atomicity, Consistency, Isolation, Durability)
Transaction Processing
Locking Mechanisms
Deadlock Detection and Resolution
Two-Phase Commit Protocol
Data Modeling and Design
Entity-Relationship (ER) Model
Relational Model
Normalization Techniques
Database Design Principles
Conceptual, Logical, and Physical Design
Data Storage and Retrieval
File Organization (Sequential, Indexed, Hashing, etc.)
Storage Structures (Heap, B-Trees, Hash Tables, etc.)
Data Compression Techniques
Data Partitioning and Sharding
Scalability and Performance
Horizontal and Vertical Scaling
Query Optimization
Indexing and Data Structures
Caching and Buffering Techniques
Data Consistency in Distributed Systems
Distributed Data Storage and Replication
Distributed Concurrency Control
Data Fragmentation and Allocation
Distributed Transaction Management
Data Privacy and Compliance
Data Privacy Regulations (GDPR, HIPAA, etc.)
Data Masking and Anonymization
Privacy-Preserving Techniques
Compliance Auditing and Reporting
Database Administration and Management
Database Installation and Configuration
Capacity Planning
Performance Monitoring and Tuning
Backup and Recovery Strategies
Schema and Security Management