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What is Distributed Database. Why Distributed Databases. Discuss.?
Venkatvatsan
(computer science) A database maintained in physically separated locations and supported by a computer network so that it is possible to access all parts of the database from various points in the network.
Wiki User
∙ 13y ago
A distributed database is a database system in which data is spread across different locations using a computer network. Distributed databases are used to improve data availability, scalability, and performance by making data accessible from different geographical locations and reducing the risk of a single point of failure. They also facilitate distributed computing and allow for better load balancing and resource utilization.
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What are distributed-databases in dbms?
Distributed databases in a DBMS are databases that are stored on multiple computers across a network. They allow for data to be spread out and accessed simultaneously from different locations, which can improve performance and scalability. Distributed databases can enhance fault tolerance and reduce the risk of data loss.
Different between distributed and decentralized on database?
Distributed databases are spread across multiple nodes or locations, while decentralized databases operate without a central authority or control. Distributed databases may have a centralized component for coordination, while decentralized databases use consensus algorithms for decision-making. Decentralized databases offer higher resilience and security against single points of failure compared to distributed databases.
What are the advantage of distributed database over centralized database?
Distributed databases offer advantages such as improved scalability, increased availability, and better fault tolerance compared to centralized databases. They also provide better performance by reducing network latency and enabling data to be processed closer to where it is needed. Additionally, distributed databases can offer better data security by replicating data across multiple locations.
What is the difference between distributed and replicated database?
In a distributed database, data is divided and stored across multiple nodes in a network, while in a replicated database, data is duplicated and stored across multiple nodes for redundancy and fault tolerance. Distributed databases focus on partitioning data for scalability and performance, whereas replicated databases focus on ensuring data availability and reliability.
What is the difference between a distributed database and distributed processing?
A distributed database is a collection of databases stored on multiple computers and accessed through a network, allowing for data to be distributed across different locations. Distributed processing, on the other hand, refers to breaking down a task into smaller parts that are processed on multiple computers simultaneously, enabling faster computation by leveraging the collective resources of multiple machines.
Structure of a distributed database system?
structure of distributed databases
What are distributed-databases in dbms?
Distributed databases in a DBMS are databases that are stored on multiple computers across a network. They allow for data to be spread out and accessed simultaneously from different locations, which can improve performance and scalability. Distributed databases can enhance fault tolerance and reduce the risk of data loss.
Different between distributed and decentralized on database?
Distributed databases are spread across multiple nodes or locations, while decentralized databases operate without a central authority or control. Distributed databases may have a centralized component for coordination, while decentralized databases use consensus algorithms for decision-making. Decentralized databases offer higher resilience and security against single points of failure compared to distributed databases.
What are the advantage of distributed database over centralized database?
Distributed databases offer advantages such as improved scalability, increased availability, and better fault tolerance compared to centralized databases. They also provide better performance by reducing network latency and enabling data to be processed closer to where it is needed. Additionally, distributed databases can offer better data security by replicating data across multiple locations.
What is the difference between distributed and replicated database?
In a distributed database, data is divided and stored across multiple nodes in a network, while in a replicated database, data is duplicated and stored across multiple nodes for redundancy and fault tolerance. Distributed databases focus on partitioning data for scalability and performance, whereas replicated databases focus on ensuring data availability and reliability.
Components of distributed database management system?
=A database physically stored in two or more computer systems. Although geographically dispersed, a distributed database system manages and controls the entire database as a single collection of data. If redundant data are stored in separate databases due to performance requirements, updates to one set of data will automatically update the additional sets in a timely manner.==Read more: [http://www.answers.com/topic/distributed-database#ixzz2R7Aof5Cb http://www.answers.com/topic/distributed-database#ixzz2R7Aof5Cb]=
What has the author Stefan Jablonski written?
Stefan Jablonski has written: 'Datenverwaltung in verteilten Systemen' -- subject(s): Database management, Distributed databases
What is the plural of database?
The plural of database is databases.
What is the difference between a distributed database and distributed processing?
A distributed database is a collection of databases stored on multiple computers and accessed through a network, allowing for data to be distributed across different locations. Distributed processing, on the other hand, refers to breaking down a task into smaller parts that are processed on multiple computers simultaneously, enabling faster computation by leveraging the collective resources of multiple machines.
Is Excel an example of a relational database?
No. It is a spreadsheet application. You can do simple databases in it, but it is not designed to create complex databases like relational databases. To do that you would use an actual database application.
When would you mirror databases and when would you use databases tailored for the local environment?
You would mirror a database when you have a distributed database management system (DDBMS). especially in different countries with different time zones to allow users perform insert, update and delete operations to avoid inconsistency in database values. This is a security and disaster management implementation.
How does two phase commit process work in distributed database?
Pretty much the same way it works in any type of architecture. If it's distributed it just means it can span multiple databases of different types. Database changes required by a transaction are initially stored temporarily by each database. The transaction monitor then issues a "pre-commit" command to each database which requires an acknowledgement. If the monitor receives the appropriate response from each database, the monitor issues the "commit" command, which causes all databases to simultaneously make the transaction changes permanent.
