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DO you have redundancy of records in distributed DBMS?
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
What is Controlled redundancy in a database?
In non-database systems each application has its own private files. This can often lead to redundancy in stored data, with resultant waste in storage space. In a database the data is integrated. The database may be thought of as a unification of several otherwise distinct data files, with any redundancy among those files partially or wholly eliminated. Data integration is generally regarded as an important characteristic of a database. The avoidance of redundancy should be an aim, however, the vigour with which this aim should be pursued is open to question. Redundancy is * direct if a value is a copy of another * indirect if the value can be derived from other values: ** simplifies retrieval but complicates update ** conversely integration makes retrieval slow and updates easier * Data redundancy can lead to inconsistency in the database unless controlled. * the system should be aware of any data duplication - the system is responsible for ensuring updates are carried out correctly. * a DB with uncontrolled redundancy can be in an inconsistent state - it can supply incorrect or conflicting information * a given fact represented by a single entry cannot result in inconsistency - few systems are capable of propagating updates i.e. most systems do not support controlled redundancy.
What is important to consider when creating a database?
Memory should be taken into account when building a database and maintain integrity and avoid redundancy through normalization.
What is redundancy and is it good or bad ina database?
Redundancy is when you have the same data in multiple locations. Some redundancy is good, while too much is bad. If two departments are using the exact same data, then this redundancy is bad. It is utilizing excess resources. Redundancy, can be used as a failsafe. Having a backup helps incase of data corruption. The key is too find the right balance of redundancy within a database.
Database approach VS traditional approach?
Database Approach vs. Traditional File ProcessingSelf contained nature of database systems (database contains both data and meta-data).Data Independence: application programs and queries are independent of how data is actually stored.Data sharing.Controlling redundancies and inconsistencies.Secure access to database; Restricting unauthorized access.Enforcing Integrity Constraints.Backup and Recovery from system crashes.Support for multiple-users and concurrent access.
Why can data redundancies be completely eliminated?
Data redundancies can be completely eliminated through the implementation of normalization techniques in database design, which organizes data to minimize duplication. By structuring data into related tables and establishing clear relationships, each piece of information is stored only once. Additionally, employing strict data governance and integrity constraints ensures that updates and deletions are consistently managed, further reducing redundancy. However, it's important to strike a balance, as some level of redundancy may be necessary for performance optimization and data retrieval efficiency.
What are five strengths of the database approach?
Reduced data redundancy, Improved data integrity, Shared data, Easier access, Reduced development time
What is replication in database?
it is the process of finding the redundancy.
When working with a database it is important to?
Avoid redundancy, for instance.
DO you have redundancy of records in distributed DBMS?
Redundancy means duplicacy of data or repetitive data. In distributed database case the data is stored in different systems . So the answers is yes there can be redundancy of records / data.In distributed database , data is stored in different systems. Since the data is distributed there is redundancy of records.
What is Controlled redundancy in a database?
In non-database systems each application has its own private files. This can often lead to redundancy in stored data, with resultant waste in storage space. In a database the data is integrated. The database may be thought of as a unification of several otherwise distinct data files, with any redundancy among those files partially or wholly eliminated. Data integration is generally regarded as an important characteristic of a database. The avoidance of redundancy should be an aim, however, the vigour with which this aim should be pursued is open to question. Redundancy is * direct if a value is a copy of another * indirect if the value can be derived from other values: ** simplifies retrieval but complicates update ** conversely integration makes retrieval slow and updates easier * Data redundancy can lead to inconsistency in the database unless controlled. * the system should be aware of any data duplication - the system is responsible for ensuring updates are carried out correctly. * a DB with uncontrolled redundancy can be in an inconsistent state - it can supply incorrect or conflicting information * a given fact represented by a single entry cannot result in inconsistency - few systems are capable of propagating updates i.e. most systems do not support controlled redundancy.
What is a database approach and what is a file-based approach?
A database approach is a method of managing and organizing data using a structured repository that allows for efficient retrieval, storage, and manipulation of information. On the other hand, a file-based approach involves storing data in separate files and organizing them manually, which can result in redundancy, data inconsistency, and limited accessibility compared to a database system.
Describe database normalization?
Database Normalization is the process of organizing the fields and tables of a relational database to minimize redundancy and dependency
Does redundancy make updating a database less difficult?
this is true!
What is the repetition of data in a database called?
its called data redundancy.
What were the shortcomings of early file-oriented database structures?
data redundancy
What the terms is used to describe the repetition of data in a database?
The term used to describe the repetition of data in a database is "data redundancy." Data redundancy occurs when the same piece of data is stored in multiple places, which can lead to inconsistencies and increased storage costs. To minimize redundancy, database normalization techniques are often applied to organize data efficiently.
