The logical database is how the data is percieved in the tables, the way the data is actually stored on the storage medium is the physical view of the database.
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A logical database refers to the conceptual schema or model of data relationships and structures, independent of how data is stored or accessed. On the other hand, a physical database involves the actual implementation of the database on a specific hardware system, detailing how data is stored and accessed. The logical database design focuses on the organization of data, while the physical database design focuses on optimizing performance and storage efficiency.
A logical database refers to the way data is organized, modeled, and accessed by users, focusing on the structure and relationships of data. In contrast, a physical database relates to how data is actually stored on disks, including indexes, partitions, and access paths designed for efficient data retrieval and storage.
A physical network is different from a logical network. Logical networks are defined at the Network layer by the arrangement of the hierarchical addressing scheme. Physical networks represent the interconnection of devices on a common media. Sometimes, a physical network is also referred to as a network segment
Physical structure refers to the actual layout of data on the disk, including sectors, tracks, and cylinders. Logical structure refers to how the operating system organizes and accesses data on the disk, such as partitions, file systems, and directories.
A physical channel refers to the medium through which data is transmitted, such as a cable or wireless signal. A logical channel, on the other hand, represents a specific path or communication route within a network that allows data to be exchanged between devices. In simpler terms, a physical channel is the physical connection, while a logical channel is a virtual pathway for data flow.
A thick Logical Unit refers to full physical storage capacity being allocated upfront, while a thin Logical Unit only allocates storage space as it is being used. This makes thin provisioning more efficient in terms of resource utilization and allows for better scalability as storage can be expanded dynamically.