Introduction
Traditional file systems store data separately for different applications, leading to redundancy and inefficient storage. In contrast, Database Management Systems (DBMS) centralize data storage, enabling multiple users to access the same repository based on their specific needs without duplicative data. For a foundational understanding, refer to Introduction to Database Management Systems: Basics and Key Concepts.
1. Self-Describing Nature of DBMS
A DBMS stores not only the data but also metadata , the definitions and structure of the data , in a catalog. This catalog provides a complete description of the database schema, including table names, columns, data types, and constraints, facilitating efficient data management and application compatibility.
Example of DBMS Catalog
- University database with tables: Student (4 columns), Course (3 columns), Grade Report (3 columns)
- Metadata includes column details like 'student name' (char(30), belongs to Student table), 'roll number' (integer, Student table)
2. Insulation Between Programs and Data (Program-Data Independence)
In file systems, data format is embedded within application programs, requiring program changes when data structures change. DBMS separates data structure from programs using the catalog, allowing changes in data format without modifying access programs. This concept is detailed in Introduction to Database Management Systems: Basics and Key Concepts.
Data Abstraction
DBMS provides conceptual data models that simplify user interaction by hiding complex storage details, ensuring users see only the relevant data views.
3. Support for Multiple Views of Data
Different users require different information subsets (views) from the same database. DBMS supports virtual views tailored to user needs, such as:
- Accounts department viewing student fees
- Exam department viewing student grades
These views do not store data physically but provide customized perspectives.
4. Sharing of Data and Multi-User Transaction Processing
DBMS supports concurrent access by multiple users while maintaining data integrity through concurrency control. These transaction concepts are elaborated upon in A Comprehensive Guide to PostgreSQL: Basics, Features, and Advanced Concepts.
Concurrency Control
Prevents conflicts like two agents booking the same seat concurrently by controlling simultaneous edits.
Important Transaction Properties
- Isolation: Ensures a transaction's intermediate steps are hidden from others.
- Atomicity: Guarantees transactions complete fully or not at all, preventing inconsistent data states.
Conclusion
DBMS offers significant improvements over traditional file systems by eliminating redundancy, providing program-data independence, enabling multiple user views, and supporting secure multi-user access with robust transaction control, making it essential for modern data management.
hello everyone and welcome back continuing with the previous video
introduction to dbms let us see in this video the characteristics of dbms
as i mentioned in the previous video before dbms we were using the file system approach
in traditional file systems data was stored in files now for example
if i have one user say the accounts department who keeps track of the student fees
and their dues this user just needs the student role number student name the fees paid by the students as well as
any dues and if i have another user say the exam department
who keeps track of the grades received by the students that is it can have student role number
student name course and the grades received by that student in a particular course
here both the users are interested in data about students but they have to maintain different
files because both have different interests the accounts department is only interested in the fee details
whereas the exam department is only interested to know about the grades received by the student in each course
so since both have different interests they cannot have a common file and hence have to maintain different files
as we can see here the student details as the student role number and the student name
is being repeated in both the files this leads to redundancy or duplication of data as well as wastage
of storage space whereas in the dbms approach the entire data is stored in a single repository
and multiple users can access the data based on their interests like for example
data like student role number student name the fees paid fees due the grades they have received etc
can be stored in the single repository and any number of users can access this repository
and view whatever data they want hence there is no duplication of data so that is why we prefer dbms over the
traditional file system approach hope you all have understood the difference between the file system
approach and the dbms approach now we are going to discuss
the main characteristics of dbms approach the first one is self-describing nature
of a database system the second characteristic is insulation between programs and data
and data abstraction the third characteristic of dbms approach is support of multiple views of the data
and the last characteristic that we are going to discuss would be sharing of data and multi-user
transaction processing let us look into each of these in detail
the first one self-describing nature of a database system a database system not only consists of a
database but it also contains the metadata we have already seen what a metadata is
in the previous video so it is nothing but the database definition or a complete description of
the database information like the data type and the constraints etc all these
information is what we call as metadata and this information
is stored in the dbms catalog and this catalog is used by the dbms software
as well as it is used by the database users who wants to know what the structure of the database is
let us just see an example of a catalog so that you understand better
in the previous video we have taken this very simple example of a university database that stores
student and course information so based on this very simple example let us see an example of a catalog
so here we'll see an example of a database catalog where relations or table name along with
the number of columns are mentioned in our example of university database we have three tables or three relations
the first table that we have is the student table with four columns then we have the course table with three
columns and then finally the grade report table with
three columns and also in our catalog we can have another table which defines the columns
present in each table or in each relation their data type
and to which table or to which relation that column belongs to based on our example of university
database the column student name has the data type character of size 30 and it belongs to the
relation or belongs to student table similarly the column roll number is of integer data type and belongs to student
relation or student table so this is an example of a database catalog
where information about the database or a description of the database is stored now going back to the characteristic
that we were discussing now the next point is dbms software must work equally well with any number
of database applications we can have any number of database applications like for
example a university database a library database or a banking database
as long as the database definition or the metadata is stored in the catalog dbms software
has to work efficiently or equally well with any number of database applications whereas in the traditional file
processing data definition or what we call as metadata in dbms
is part of the application programs itself so they work with only one specific
database application because the structure is declared in the program
itself unlike dbms they cannot work with more than one database application so we have seen the
very first characteristic of dbms approach now moving on the next characteristic of
dbms approach is insulation between programs and data and data abstraction in traditional file
processing the structure of data files is embedded in the application programs
itself that is the structure is within the program it is not separate so if there is any
change to the structure of data files it is going to affect the programs we also need to change the application
program whereas in the database approach the structure of data files is stored in the dbms
catalog and it is separate from the access programs since the structure is stored separately
from the programs so if there is any change brought to the structure of the data files it does not
affect the programs and that is called as program data independence we have already seen an
example of university database so in that database we had a student table or a student record
so let us see an internal storage format for that student record here we have the data item name or the
column name in that record or in that table the starting position
and the length in characters in traditional file systems this structure is present within the
programs itself now say if i want to add another piece of data say the date of birth
since the structure is changed this program will not work and the program has to be changed
whereas in the database approach if you want to add a new piece of data say the date of birth
we can add it without affecting the programs since the structure is separate from the
programs we don't have to change the programs we just have to add this new information
in the catalog so next time a dbms program refers to the catalog
the new structure will be referred and used so that is called as a program data
independence now the characteristic that allows program data independence
is called data abstraction dbms provides users with conceptual representation of data
that is it hides the behind the scene details or the complicated details that are not of interest to the database
user a data model is a type of data abstraction
that provides conceptual representation to the database users in a way that most users can
understand and the data model hides the storage and implementation details from the
users so this is what is insulation between programs and data or what we call as program data independence
and the characteristic that allows the program data independence is called as data abstraction the next characteristic
of dbms is support of multiple views of the data a database has many users and
each of those users will have different needs or they may require a different view or
a different perspective of a database like for example
one user will be only interested to know the grades received by the students while another user will be interested to
only know the courses taken by each student so dbms will provide only that necessary data that is
required for each user a view which is a subset of database
that is it is derived from a main database table it contains virtual data or
data that is not physically stored or that is not explicitly stored so that is
support of multiple views of the data where dbms will provide as many views as required by each
database user the next characteristic of dbms is sharing of data
and multi-user transaction processing as the name suggests a multi-user dbms allows multiple users to access the
database at the same time now for multiple users to
access the database at the same time dbms has to provide or it must include concurrency control now what is
concurrency control concurrency control is nothing but when multiple
users are sharing the same database at the same time it should prevent two users from
editing the same data at the same time like for example we have travel agents or
reservation agents and if one of the agents is booking a bus ticket for a particular
passenger and if he is assigning a seat for that passenger
then that particular seat should get blocked and no other agents should be able to access or
book that seat for any other passenger and that is what we call as concurrency control these kind of
applications that require concurrency control are called as oltp or online transaction
processing and it is a major part of database application dpms must enforce or must ensure
several transaction properties and here transaction means program under execution so the two
different transaction properties are isolation and atomicity now what is isolation like we already discussed in
the previous example if one agent assigns a seat to a particular passenger
then that seat is blocked or it is isolated from other agents so that is one of the
transaction properties that dbms must enforce the next property is atomicity where
dbms should ensure that the transaction is executed completely
or none at all now when an agent is assigned a seat for a passenger and if the transaction is stuck midway
or if it is incomplete then that seat has to be released for
other agents to access so either the transaction should be executed completely or none at
all so this is sharing of data and multi-user transaction
processing with this we come to the end of this video hope you all have understood the main
characteristics of dbms approach thank you you
A DBMS is self-describing because it stores metadata—definitions and structures like table schemas, columns, and data types—in a catalog alongside the actual data. This centralized metadata allows efficient data management and ensures applications can understand and use the data correctly without external documentation, enhancing consistency and simplifying maintenance.
Program-data independence means that the database structure is separate from application programs accessing the data. When data formats change, developers do not need to modify existing programs because the DBMS catalog abstracts the data structure. This reduces development effort, prevents errors, and allows organizations to evolve data models without disrupting applications.
Multiple views let different users see customized subsets of the database tailored to their needs without altering the underlying data. For example, the accounts department can view fee-related information, while the exam department accesses grades. These virtual views improve security, usability, and relevance of data access, as users work only with data pertinent to their roles.
A DBMS manages multiple users accessing the database simultaneously through concurrency control mechanisms that prevent conflicts like double booking by coordinating transactions. It ensures transaction properties such as atomicity—transactions complete fully or not at all—and isolation—transactions' intermediate changes are hidden—thus maintaining data integrity and consistency during concurrent use.
Unlike traditional file systems that store data separately and redundantly for each application, a DBMS centralizes data storage, eliminating redundancy and enabling efficient sharing. It supports program-data independence, multiple user-specific views, and secure multi-user transaction processing, which collectively deliver improved data integrity, flexibility, and security vital for contemporary data needs.
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