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What is "Transparent DBMS"?

What is Transparent DBMS?

The DBMS that is transparent in nature has been created to let the users have a smooth access to the data while they do not see the complexities of data storage, management, and retrieval. A such system provides many kinds of transparency like location, fragmentation, replication, concurrency and failure that are used to hide the technical details, thus the users can concentrate on the actual data. Through this article, we will examine the main characteristics of a transparent DBMS, which are data distribution and replication, concurrency control, and system failures, and we will show how they all make the system user-friendly. The awareness of the way a DBMS operates transparently enables the users to understand the benefits of this system and how it makes it easier for them to work with data in complex environments.

The main features of a transparent DBMS are:

  • Location Transparency: It refers to that DBMS gives users the ability to access the physical stored data regardless of its physical location. Data is scattered to different storage areas but the DBMS is responsible for providing the interface which hides that distribution from the user.
  • Fragmentation Transparency: Through fragmentation transparency, users can deal with data as one unit even though the data is designed into fragments and stored in different parts or tables; this phenomenon of the breakdown of data is hidden from the user and the DBMS starts to combine them when necessary.
  • Replication Transparency: Replication transparency is a way of people to see data without knowing if that data has been replicated (replicated) at several places. The replication of the data is under the control of the DBMS, which ensures the synchronization of alterations across copies and creates a consistent view of the database for the users.
  • Concurrency Transparency: Consequence transparency makes it possible for multiple users to at the same time read and modify data without any hindrance. A DBMS takes care of the simultaneous access and update of the data that is being shared, using the techniques like locking or versioning to make sure that the data is consistent and intact.
  • Failure Transparency: Failure transparency suggests that a DBMS should be able to cope with the failure in one part of the system without considerably reducing the whole system performance. Hence, it should be an immobility for the system to recover from failures such as server crashes or network problems so that data shall still be accessible all throughout - even through redundant storage or backup systems.

The above aims of DBMS helps the users of the DBMS to make data management easy by abstracting data sharing, replicating and handling concurrency problems from them and at the same time, managing efficiently the failures.

Transparencies in a distributed DBMS

Transparencies in a distributed DBMS are distributed clients that allows a user to utilize the data and services of distributed DBMS without facing transactionalinformation.

  • Transparency is a two-level process, which means that the higher-level semantics is separated from the lower-level implementation issues.
  • Thus, a transparent system is characterized by the fact that the implementation details are not revealed to the users.
  • The full transparency of a DBMS is the main reason why it is so good in the development of complex applications as it gives the highest support for the development of such applications.
  • It is clear that we would like to have all DBMSs (centralized or distributed) all fully transparent.
  • The users can still ask for the query that is mentioned above with no extra attention to the fragmentation, location, or replication of data and let the system to work out these problems.
  • The main concern is to offer data independence in the distributed environment.

Data Independence

Data independence is the property of being able to change the schema at one level of the database system without modifying the schema at the next level.

Logical data independence: The term in question is the software designing of the user applications which is so compressible to changes in the logical framework of the database is in advising you to give up on the original plan.

Physical data independence: On the other hand, It is about the process of not letting the details of the storage structure to the user applications.

Conclusion

Altogether, a clear DBMS makes people forget about data control difficulties and helps them to efficiently process data. The identification, scattering, reproduction, coincidence and collapse openness represents a means of accessing and managing data without necessarily knowing how these things are done technically. The transparency raises the user-friendliness and scalability fault tolerance and reliability of the database system making it good for users and, in the long run, the businesses as a whole.







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