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Differences between a logical design and a physical design of a system design and with examples?
logical physical ---------- -----------1.it is an abstract 1.it is in detail.2.it include the process chat. 2.it includes the organisationl chat.3.it involves soft copy. 3.it involves the hard copy.4.it represents the module. 4.it represents the electronics system.
Could you explain the purpose of logical database design?
Logical database design is the process of designing the database at a conceptual level as opposed to a physical level. There are many advantages of conceptual database design, such as the ability to design the database without having to commit to a particular database management system, to produce a document that is readable and understandable to everyone in the company (not just the database person) and to produce an overall design document that can be saved as a part of the documentation of the database for future enhancement, maintenance and support work. Logical database design produces documents for use in the same way that architects produce blueprints for building purposes.
What difference between logical and physical design?
Logical design refers to the abstract representation of the data and the relationships among data elements, focusing on how data is organized and accessed without considering the physical storage details. In contrast, physical design involves the actual implementation of the logical design, specifying how data will be stored on hardware, including file structures, indexing methods, and data storage formats. Essentially, logical design is about "what" data is needed and "how" it relates, while physical design deals with "where" and "how" that data is physically stored and retrieved.
What are the statements that require proof in a logical system?
The statements that require proof in a logical system are theorems and corollaries.
What are statements that require proof in logical a system?
The statements that require proof in a logical system are theorems and corollaries.
Which are accepted without proof in a logical system Postulates Axioms Theorems or Corollaries?
Postulates and axioms are accepted without proof in a logical system. Theorems and corollaries require proof in a logical system.
What is the primary deliverable from logical database design?
normalized relations
What is logical dfd?
the dfd which independent view of the system is called logical dfd
What are the three stages of database design?
The three stages of database design are conceptual design, logical design, and physical design. In the conceptual design stage, the overall structure and high-level relationships of the data are defined, often using Entity-Relationship (ER) diagrams. The logical design stage involves translating the conceptual model into a detailed schema, specifying tables, columns, and data types, while ensuring normalization. Finally, the physical design stage focuses on the implementation details, including data storage, indexing, and performance optimization specific to the chosen database management system.
What is the difference between network architecture and network topology?
The difference between architecture and topology is logical vs physical. Architecture is about the logical design of something. Topology is about the physical elements required to enable the architectural design. The difference between architecture and topology is logical vs physical. Architecture is about the logical design of something. Topology is about the physical elements required to enable the architectural design. The difference between architecture and topology is logical vs physical. Architecture is about the logical design of something. Topology is about the physical elements required to enable the architectural design.
What are main features of SSADM?
Tell me when you find out
What is logical level?
Logical level refers to the abstraction in a system that focuses on the underlying logic and relationships among components, rather than their physical implementation. It encompasses the principles and rules governing how data is processed, stored, and communicated, often represented through models or diagrams. In computing, it helps in understanding algorithms and data structures without delving into hardware specifics. Logical levels are crucial for system design, programming, and analysis.
