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Advantages of using Database Approach - Coggle Diagram
Advantages of using Database Approach
Data Centralization and Integration
Elimination of Data Redundancy
Consistent and Accurate Data
Improved Data Integrity
Efficient Data Sharing and Collaboration
Data Independence
Logical Data Independence
Physical Data Independence
Flexibility in Modifying Database Schema
Data Security and Access Control
User Authentication and Authorization
Fine-grained Access Control
Data Encryption and Auditing
Data Privacy Compliance
Concurrent Data Access and Transaction Management
Concurrent Data Access by Multiple Users
Transaction Isolation and Consistency
Concurrency Control Mechanisms
Atomicity and Durability of Transactions
Data Consistency and Integrity
Entity Integrity (Primary Key Constraint)
Referential Integrity (Foreign Key Constraint)
Domain Constraints
Data Validation and Constraints Enforcement
Data Recovery and Backup
Backup and Restore Operations
Point-in-Time Recovery
Transaction Logging and Rollback
Disaster Recovery Planning
Efficient Data Manipulation and Querying
Structured Query Language (SQL)
Declarative Query Language
Data Manipulation Language (DML)
Query Optimization Techniques
Data Abstraction and Modeling
Conceptual Data Models (ER Model, UML)
Logical Data Models (Relational Model)
Physical Data Models (Storage Structures, Indexing)
Data Abstraction for Simplified Data Access
Scalability and Performance
Efficient Data Storage and Indexing Structures
Query Optimization and Performance Tuning
Horizontal and Vertical Data Scaling
Efficient Data Retrieval and Processing
Data Consistency in Distributed Systems
Distributed Data Storage and Replication
Distributed Concurrency Control
Data Fragmentation and Allocation
Distributed Transaction Management
Data Analysis and Decision Making
Data Mining and Analytics
Business Intelligence and Reporting
Decision Support Systems (DSS)
Data Visualization and Insights Generation
Data Integrity and Data Quality
Data Validation and Cleansing
Data Consistency Checks and Error Handling
Data Quality Monitoring and Improvement
Data Governance and Stewardship