Introduction to DBMS

Data : Collection at information is data.

Ex: 101 vasu hyd

Base: To provide some special meaning to data is base

Ex: code  Name  city

       9544  rama   rjy

Data Base:

 Collection of tables

 Collection of rows & columns

 Collection of records

  Collection of objects

Object: object represents anything like person, place, table, records etc.

DBMS:-We need a particular system to manage data bases that system is known as database management system.

Difference between database & DBMS:


DATABASE


DBMS
1)
Data base is a memory element to store data permanently
1)
DBMS is a memory element to store data permanently and using some programming languages manipulate the data stored in database

Storage Areas:-

1) In enterprise additions it is essential to store data permanently 

2) Data places an important role in any organization so data storage is very important.

3) The data may be customer details, employee details, sales.

4) To store data permanently we use store

Storage areas are two types:-

1) Temporary storage are

2) Permanent storage area 

1) Temporary storage area: - In temporary storage areas data store temporarily.

Ex : a) Buffer   b) Java object

a) Buffer: Buffer is a place where we can store data temporarily.

2) Intermediate memory between main memory and second memory

3) Buffers are created by local operating systems

b) Java objects: - object is anything that represent place, person, tables, records etc.

2) Permanent storage area:- In permanent storage areas data store permanently   

Ex: a) File systems   b) Database   c) Data ware houses 

File System :

1. File system is a system to manage files. 

2. File is a place where we can store data permanently

3. Files are created by local operating system

4. Files are plat form dependent

5. Files doesn’t work as platform independent languages like java, C++ etc.

6. In files no security

7. Files does not maintain any relationship between data items 

8. Files contain duplication of data

DBMS:

1. Data base is a memory element to store data permanently. DBMS in also a memory element to store data permanently and DBMS contains some programming languages that are used to manipulate data stored in data base. 

® Finally  we need a particular system to manage databases is called DBMS

® Databases are used to store large volumes of data

® When compared to files databases maintain more security

® Databases are platform independent. So data bases work on any plat form & plat form

® Independent languages databases maintain logical relationship between individual data items.

® Data bases does not maintain duplicate data

® Databases are used to store daily transactions

Different types of DBMS:-

1. DBMS :- In DBMS data format is records

2. RDBMS (Relational Data base Management system) :-

* Here relation means table

* Any DBMS which satisfies & rules in Dr. E F code rules that DBMS is called RDBMS

* In RDBMS data stored in tables

tables

* SQL2 is the Query language to access data stored in RDBMS

3. OODBMS (object oriented data base management system)

* In OOBMS data stored in objects.

objects


* OQL (object query language) is the query. Language to access data stored in objects

4. ORDMS (object relational data base management system)

* In ORDBMS some part of data stored in objects and the remaining part of data stored in tables.

* SQL3 is the query language to access data stored in ORDBMS.

* SQL3 is the combination SQL2 and OQL

SQL3 = SQL2 + OQL

Data Ware House :-

* Data ware house is a relational data base which is specifically designed for analysis purpose but not for transnational pursue.

* Data ware house is also known as DSS(Decision support system)

* According to WH inmon any data base which satisfies

1. Integrated

2. Subject oriented

3. Time gradient

4. Non volatile

Then the DBMS is known as data ware house

* Data ware houses store huge volumes of data

* Data ware houses store historical data

* Manager can only access

* Data ware houses is provide more. Security when compared to databases 

* Data ware houses maintain logical relationship between individual data items

Related

DBMS 5247053353228892522

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