new topic for seminars in dbms
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new inventions in database field on which i can give seminar. It must be easy to understand and interesting.
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A collection of data designed to be used by different programmers is called DATABASE. We will define it as a collection of interrelated data stored together with controlled redundancy to serve one or more applications in an optimal manner; The data is stored so that it is independent of the programs that use the data; A common, controlled approach is used to add new data and modify and retrieve existing data within the database. It is said that a system contains a collection of databases if each one of them is completely separated in its structure. The database has many applications in the client server model. In order to increase the speed of data recovery we use the distributed database technique. The distributed database has expanded due to the growing requirement in database management systems. To increase the response times of the systems, the distributed database is used. The distributed database is the best method to handle the data in the network and reduces the load on the single server. A central control will be present to organise the distributed data. In this article we will see how data is distributed across the network and how it is used when required.

Uses DBMS
 Data independence and efficient access
 Data integrity and security
 Uniform data management
 Concurrent access, accident recovery

Purpose of the DBMS
 Redundancy and inconsistency of data
 Difficulty in the new program to carry out each new task
 Data isolation
 Integrity issues
 Security issues

Data Models
There are three types of models.
 Hierarchical model
 Network model
 Relational Model

Architecture
 External level
 Conceptual level
 Internal level

DBMS Components
 Hardware
 Software
 Data
 People
 Procedure

Advantages of DBMS
 Control of redundancy
 Sharing of data
 Consistency of data
 Data integration
 Integration constraints
 Data security
 Report Writers

Disadvantage of DBMS
 Cost of hardware and software
 Cost of data conversion
 Cost of staff training
 Designation of technical personnel
 Damage to the database
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