Software Design and Development

⌘K
  1. Home
  2. Docs
  3. Software Design and Devel...
  4. Design
  5. Physical File and Database Design

Physical File and Database Design

Physical design is the process of determining how data will be stored, accessed, and managed at the physical level in a Database Management System (DBMS).

  • It focuses on optimizing database performance, ensuring security, and efficiently utilizing storage resources.

1.) Storage Structures:

Storage structures determine how data is physically organized on disk, influencing data retrieval speed and storage efficiency.

    Types of File Structures:

    Sequential Files:

    • Data is stored in a sequential order, making it efficient for batch processing but slow for random access.
    • Used in applications requiring large-scale reporting.

    Indexed Files:

    • An index is created to quickly locate records without scanning the entire file.
    • Common in search-heavy applications like customer databases.

    Hashed Files:

    • A hash function is used to directly map data to a location, providing fast retrieval for specific queries.
    • Best suited for key-value lookups (e.g., user authentication).

    2.) Indexing:

    Indexing enhances query performance by allowing rapid data retrieval without scanning the entire table.

      Types of Indexes:

      • Primary Index: Built on a table’s primary key for fast lookup.
      • Secondary Index: Created on non-primary key attributes to speed up searches.
      • Clustered Index: Stores data rows in the same order as the index.
      • Non-clustered Index: Keeps data separate from the index, requiring additional lookup steps.

      Indexing Strategy:

      • Use indexes on frequently queried columns.
      • Avoid excessive indexing to prevent slow write operations.

      3.) Partitioning:

      Partitioning divides large tables into smaller, more manageable parts to improve query performance and scalability.

        Types of Partitioning:

        • Horizontal Partitioning: Splits records across multiple tables based on row values (e.g., storing data by region).
        • Vertical Partitioning: Stores specific columns separately to optimize access to frequently used attributes.
        • Range Partitioning: Divides data based on a predefined range (e.g., yearly sales data stored separately).

        Benefits:

        • Enhances query performance by reducing search space.
        • Improves data management and scalability.

        4.) Security:

        Security in physical design ensures data protection against unauthorized access, breaches, and corruption.

          Key Security Measures:

          • Access Controls: Implementing role-based access control (RBAC) to restrict unauthorized data access.
          • Encryption: Encrypting sensitive data at rest and in transit for protection.
          • Backups and Recovery: Regular backups to prevent data loss in case of failures.
          • Auditing and Logging: Tracking user activities to detect anomalies and security threats.

          How can we help?

          Leave a Reply

          Your email address will not be published. Required fields are marked *