What is physical data independence?

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Physical data independence is the ability to modify the physical schema without causing application programs to be rewritten. Modifications at the physical level are occasionally necessary to improve performance.

What is logical and physical data independence in DBMS?

Physical data independence is concerned mainly with how a set of data/ info gets stored in a given system. Logical data independence is concerned mainly with the changing definition of the data in a system or its structure as a whole.

What is data independence of DBMS?

Data independence is the ability to modify the scheme without affecting the programs and the application to be rewritten. Data is separated from the programs, so that the changes made to the data will not affect the program execution and the application.

What is physical data independence and why is it important?

Physical data independence allows you to modify physical storage structures or devices without affecting the conceptual model of the database. Any changes made at the internal level would be absorbed by the mapping between the conceptual and internal levels, preventing any modifications to the conceptual level.

What is physical data independence Mcq?

Physical Data Independence: The ability to change the internal schema without having to change the conceptual schema.

What’s the difference between logical data independence and physical data independence?

Physical Data Independence modifies the physical schema without causing the application program to be rewritten. Logical Data Independence modifies the logical schema without causing the application program to be rewritten.

Which is the type of data independence?

Logical Data Independence Logical data independence is used to separate the external level from the conceptual view. If we do any changes in the conceptual view of the data, then the user view of the data would not be affected. Logical data independence occurs at the user interface level.

How is physical data independence achieved?

Physical Data Independence is achieved by modifying the physical layer to logical layer mapping (PL-LL mapping). We must ensure that the modification we have done is localized.

What is the difference between physical data and logical data?

Physical data models are used to visualize the physical structure of databases and data files. Logical data models are used to visualize data entities, attributes, keys, and relationships.

What is the difference between logical and physical schema?

Physical schema represents the actual connection to the data source or data target. Logical schema represents the logical name associated to that source or target.

What is logical independence?

It separates the external view from the logical schema. It allows us to change the middle level of DBMS, the logical schema level, without changing the external views, programs, or API.

What is data independence in DBMS Geeksforgeeks?

Data independence means that “the application is independent of the storage structure and access strategy of data”. In other words, The ability to modify the schema definition in one level should not affect the schema definition in the next higher level.

What is physical schema explain its features?

Physical schema is a term used in data management to describe how data is to be represented and stored (files, indices, et al.) in secondary storage using a particular database management system (DBMS) (e.g., Oracle RDBMS, Sybase SQL Server, etc.).

What is functional dependency in DBMS?

A functional dependency (FD) is a relationship between two attributes, typically between the PK and other non-key attributes within a table. For any relation R, attribute Y is functionally dependent on attribute X (usually the PK), if for every valid instance of X, that value of X uniquely determines the value of Y.

What is schema and Subschema in DBMS?

The schema is a complete description of a database, including the names and descriptions of all areas, records, elements, and sets. The major purpose of the schema is to provide definitions from which to generate subschemas. Subschema. A subschema provides a view of the database as seen by an application program.

What is the 3 tier architecture of DBMS?

Three-tier architecture is a well-established software application architecture that organizes applications into three logical and physical computing tiers: the presentation tier, or user interface; the application tier, where data is processed; and the data tier, where the data associated with the application is …

What is 3 level architecture DBMS?

The three schema architecture is also called ANSI/SPARC architecture or three-level architecture. This framework is used to describe the structure of a specific database system. The three schema architecture is also used to separate the user applications and physical database.

What is indexing in DBMS?

Indexing refers to a data structure technique that is used for quickly retrieving entries from database files using some attributes that have been indexed. In database systems, indexing is comparable to indexing in books. The indexing attributes are used to define the indexing.

What is logical schema in DBMS?

A logical data model or logical schema is a data model of a specific problem domain expressed independently of a particular database management product or storage technology (physical data model) but in terms of data structures such as relational tables and columns, object-oriented classes, or XML tags.

What is DBMS Mcq?

Explanation: DBMS is abbreviated as Database Management System. Database Management System stores the data and allows authorized users to manipulate and modify the data.

What is difference between schema and instance?

Schema refers to the overall description of any given database. Instance basically refers to a collection of data and information that the database stores at any particular moment. The schema remains the same for the entire database as a whole.

What is the difference between relation and relation schema?

The term relation schema refers to a heading paired with a set of constraints defined in terms of that heading. A relation can thus be seen as an instantiation of a relation schema if it has the heading of that schema and it satisfies the applicable constraints. Sometimes a relation schema is taken to include a name.

What is difference between DBMS and database?

A database is a collection of connected information about people, locations, or things. A database management system (DBMS) is a collection of programs that allow you to create, manage, and operate a database.

What is attribute in DBMS?

In general, an attribute is a characteristic. In a database management system (DBMS), an attribute refers to a database component, such as a table. It also may refer to a database field. Attributes describe the instances in the column of a database.

What is data normalization in DBMS?

Normalization is the process of organizing data in a database. This includes creating tables and establishing relationships between those tables according to rules designed both to protect the data and to make the database more flexible by eliminating redundancy and inconsistent dependency.

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