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Every transaction is recorded in a database log. In case of failure the entire log is processed. This will take too much time.To reduce time overhead a concept called checkpoint is introduced.Checkpoints is also known as save points.Only all transactions after the last failure are recorded in the log.The rest are transfered to a stable storage.This way in case of another failure, processing will be done only from the previous 'chekpoint'

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Q: What is the checkpoint in dbms?
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Who introduced dbms?

E.F.codd


What are the 3 views of dbms?

A Database has three views. The External Schema: What the end user sees. The Internal Schema: What the programmers of the program see. The Conceptual Schema: The basic plan of the database. Most of the time this is in paper form as a Conceptual Schema Diagram (CSD)


What is the difference between traditional file based approach and database approach?

There are significant differences in physical implementation of how data is stored and used. A database allows for data to be recorded in related structures with optimization aligned to the goals of the model for efficient use. The classes or record types in a database could be considered like lists in a file, though within the framework of the database management system (dbms) that relates, stores, indexes, retrieves, and updates the data in place. Ordinarily, file-based storage is for simpler, less structured lists that do not need to be related to data in other files as dynamically as a database. In practice, their use is significantly different, but conceptually there are many overlaps. One could denormalize the data in a database into a set of files suitable for some data processing needs, and databases are implemented in system files that are managed by the dbms, through which the developer and user operate.


What is centralized database?

Distributed and Centralized Databases Distributed data is defined as collection of logically distributed database which are connected with each other through a network. A distributed database management system is used for managing distributed database. Each side has its own database and operating system.A centralized database has all its data on one place. As it is totally different from distributed database which has data on different places. In centralized database as all the data reside on one place so problem of bottle-neck can occur, and data availability is not efficient as in distributed database. Let me define some advantages of distributed database, it will clear the difference between centralized and distributed database.Users can issue commands from any location to access data and it does not affect the working of database. Distributed database allows us to store one copy of data at different locations. Its advantage is that if a user wants to access data then the nearest site (location) will provide data so it takes less time.There are multiple sites (computers) in a distributed database so if one site fails then system will not be useless, because other sites can do their job because as I earlier said that same copy of data is installed on every location. You will not find this thing in centralized database.Any time new nodes (computers) can be added to the network without any difficulty.Users do not know about the physical storage of data and it is known as distribution transparency, as we know that ideally, a DBMS must not show the details of where each file is stored or we can say that a DBMS should be distribution transparent.