SlideShare a Scribd company logo
1 of 30
Presented By:
Ravinder Kamboj
Objective
 Objective of this lecture is to make students be able to
  understand the basic concepts of file system and
  database.
 To introduce the problems with traditional file system
  and advantages of database over file system.
Index
 What is file System?
 Characteristics of file system
 Traditional method of data storage
 Problems with Traditional approach
 What is database and DBMS?
 Advantages of DBMS
 Difference between file system and database
File System
 File system was an early attempt to computerize the
  manual filing system.
 A file system is a method for storing and organizing
  computer files and the data to make it easy to find and
  access.
 File Systems may use a storage device such as a hard
  disk or CD-ROM.
Characteristics of File Processing System
 It is group of files storing data of an organization.
 Each file is independent from one another.
 Each file is called flat file.
 Each file contained and processed information for one
  specific function like accounting or inventory.
 Files are designed by using application programs written
  in programming languages such as COBOL, C, C++, etc….
Flat file
 A flat file is a file containing records that have no
  structured interrelationship
Traditional Method of Data Storage
Problems: Traditional approach
 Data Security
 Data Redundancy
 Data Isolation
 Program/ Data Dependence
 Concurrent Access Anomalies
Data Security
 The data as maintained in flat files is easily accessible
    and therefore not secure.
   Example: the Customer_Transaction file has details
    about the total available balance of all customers.
   A customer wants information about his/her account
    balance.
   In a file system it is difficult to give the customer access
    to only his/her data in the file.
   Thus enforcing security constraints for entire file or for
    certain data items are difficult.
Data Redundancy
 Often the same information is duplicated in two or
  more files.
 It may lead to inconsistency
 Assume the same data is repeated in two or more files.
  If change is made to data in one file, it is required that
  change be made to the data in the other file as well.
 If this is not done, it will lead to multiple different
  values for same data field.
Data Isolation
 Data isolation means that all the related data is not
  available in one file.
 Generally, the data scattered in various files, and the
  files may be in different formats, therefore writing new
  application programs to retrieve the appropriate data
  is difficult.
Program/ Data Dependence
 Assume in a banking system there is need to find out
  the names of all customers who live within a particular
  postal-code area.
 But there is only a program to generate the list of all
  customers.
 The bank officer has now two choices: either obtain
  the list of all customers and extract the needed
  information manually or ask a system programmer to
  write the necessary application program.
 Both the alternatives are obviously unsatisfactory.
Concurrent Access Anomalies
 Many systems allow multiple users to update the data
    simultaneously. In such environment, interaction of
    concurrent updates may result in inconsistent data.
   Example: Bank account A containing Rs. 6000/-. If two
    transactions of withdraw funds( Rs 500/- and Rs 1000/-
    respectively) from account about same time, result of the
    concurrent executions may leave the account in an
    incorrect state.
   Program on the behalf of each withdrawal read the old
    balance, reduce amount and write result back.
   If both two programs are concurrent they both may read
    the value Rs 6000/-.
   Depending on which one writes the value last, the account
    may contain either Rs 5500/- or Rs 5000/-, rather than the
    correct value of Rs 4500/-
What is the solution?
Database Approach
 In order to remove all the above limitations of the File
  Based Approach, a new approach was required that
  must be more effective known as Database approach.
 A database is a computer based record keeping system
  whose over all purpose is to record and maintain
  information.
 The database is a single, large repository of data, which
  can be used simultaneously by many departments and
  users.
The Database Management System (DBMS)

 DBMS A database management system is the software system that
  allows users to define, create and maintain a database and provides
  controlled access to the data.
 A database management system (DBMS) is basically a collection of
  programs that enables users to store, modify, and extract information
  from a database as per the requirements.
 DBMS is an intermediate layer between programs and the data.
  Programs access the DBMS, which then accesses the data.
 The following are main examples of database applications:
 Banking System
 College Management System
 Inventory Control System
 Hospital Management
Where does the DBMS fit?
Programming Languages
           4GL ( Database Query
              Languages, Data
          Manipulation, analysis and
           Reporting Languages)




            High-Level Languages




             Assembly Language




             Machine Language
Difference Between File and DBMS Operations
Advantages of DBMS
 Controlling redundancy
 Enforces integrity constraints
 Better security
 Better flexibility
 Effective data sharing
 Enables backup and recovery
Controlling Redundancy
 Redundant Data
Non-Redundant Database
 In case of centralized database, data can be shared
  by number of applications and whole college can
  maintain its data with the following database:




 Every application can access the information of other’s by
 joining on the basis of column ( Rollno )
Enforcing Integrity Constraints
 Integrity of data means that data in database is always accurate.
 Integrity constraints are enforced on database.
 Example: Let us consider the case of college database and
  suppose that college having only Btech, Mtech, MCA, MSc, BCA,
  BBA and Bcom. But if a user enters the class MS, then incorrect
  information must not be stored in database and must be
  prompted that this is an invalid entry. Integrity is to be enforced
  on class attribute.
 In file system this constraint must be enforced an all the
  application separately.
 In case of DBMS this integrity constraint is applied only once on
  the class field of the General Office.
How to enforce integrity?
 Integrity rules:
    Entity Integrity rule: Primary key value should not be
     null (Mandatory field)
    Referential Integrity: The values of foreign key should
     match the primary key in parent table.
Solution to concurrency Anomaly
           S (Shared Lock)   X (Exclusive Lock)


S          true              false


X          false             false
Locks
                   T1                  T2
 •   Lock-X(B);
 •   Read(B,b);         •   Lock-S(A);
 •   b:=b-50;           •   Read(A,a);
 •   Write(B,b);        •   Unlock(A);
 •   Unlock(B);         •   Lock-S(B)
 •   Lock-X(A);         •   Read(B,b);
 •   Read(A,a);         •   Unlock(B);
 •   a:=a+50;           •   Display(a+b);
 •   Write(A,a)
 •   Unlock(A);
Schedule 1
                  T1                       T2   Concurrency-control manager
 •   Lock-X(B);                                 • Grant-X(B,T1)
 •   Read(B,b);
 •   b:=b-50;
 •   Write(B,b)
 •   Unlock(B)
                       •   Lock-S(A);           • Grant-S(A,T2)
                       •   Read(A,a);
                       •   Unlock(A);
                       •   Lock-S(B)            • Grant-S(B,T2)
                       •   Read(B,b);
                       •   Unlock(B);
                       •   Display(a+b);
                                                • Grant-X(A,T2)
 •   Lock-X(A)
 •   Read(A,a)
 •   a:=a+50;
 •   Write(A,a)
 •   Unlock(A);
Difference between file system and DBMS
Thank You

More Related Content

What's hot

Database Relationships
Database RelationshipsDatabase Relationships
Database Relationships
wmassie
 
database recovery techniques
database recovery techniques database recovery techniques
database recovery techniques
Kalhan Liyanage
 
Database administrator
Database administratorDatabase administrator
Database administrator
Tech_MX
 
20. Parallel Databases in DBMS
20. Parallel Databases in DBMS20. Parallel Databases in DBMS
20. Parallel Databases in DBMS
koolkampus
 
A short introduction to database systems.ppt
A short introduction to  database systems.pptA short introduction to  database systems.ppt
A short introduction to database systems.ppt
Muruly Krishan
 

What's hot (20)

Advantages and disadvantages of DBMS
Advantages and disadvantages of DBMSAdvantages and disadvantages of DBMS
Advantages and disadvantages of DBMS
 
Database Relationships
Database RelationshipsDatabase Relationships
Database Relationships
 
data modeling and models
data modeling and modelsdata modeling and models
data modeling and models
 
database recovery techniques
database recovery techniques database recovery techniques
database recovery techniques
 
Introduction to Database
Introduction to DatabaseIntroduction to Database
Introduction to Database
 
Database administrator
Database administratorDatabase administrator
Database administrator
 
Fragmentation and types of fragmentation in Distributed Database
Fragmentation and types of fragmentation in Distributed DatabaseFragmentation and types of fragmentation in Distributed Database
Fragmentation and types of fragmentation in Distributed Database
 
Data models
Data modelsData models
Data models
 
Dbms
DbmsDbms
Dbms
 
Rdbms
RdbmsRdbms
Rdbms
 
Data abstraction in DBMS
Data abstraction in DBMSData abstraction in DBMS
Data abstraction in DBMS
 
Elmasri Navathe DBMS Unit-1 ppt
Elmasri Navathe DBMS Unit-1 pptElmasri Navathe DBMS Unit-1 ppt
Elmasri Navathe DBMS Unit-1 ppt
 
Dbms ppt
Dbms pptDbms ppt
Dbms ppt
 
Database Models, Client-Server Architecture, Distributed Database and Classif...
Database Models, Client-Server Architecture, Distributed Database and Classif...Database Models, Client-Server Architecture, Distributed Database and Classif...
Database Models, Client-Server Architecture, Distributed Database and Classif...
 
Relational Database Management System
Relational Database Management SystemRelational Database Management System
Relational Database Management System
 
Snowflake SnowPro Certification Exam Cheat Sheet
Snowflake SnowPro Certification Exam Cheat SheetSnowflake SnowPro Certification Exam Cheat Sheet
Snowflake SnowPro Certification Exam Cheat Sheet
 
Introduction to Oracle Database
Introduction to Oracle DatabaseIntroduction to Oracle Database
Introduction to Oracle Database
 
20. Parallel Databases in DBMS
20. Parallel Databases in DBMS20. Parallel Databases in DBMS
20. Parallel Databases in DBMS
 
A short introduction to database systems.ppt
A short introduction to  database systems.pptA short introduction to  database systems.ppt
A short introduction to database systems.ppt
 
File systems versus a dbms
File systems versus a dbmsFile systems versus a dbms
File systems versus a dbms
 

Viewers also liked

Cardinality and participation constraints
Cardinality and participation constraintsCardinality and participation constraints
Cardinality and participation constraints
Nikhil Deswal
 
4 the relational data model and relational database constraints
4 the relational data model and relational database constraints4 the relational data model and relational database constraints
4 the relational data model and relational database constraints
Kumar
 
3. Relational Models in DBMS
3. Relational Models in DBMS3. Relational Models in DBMS
3. Relational Models in DBMS
koolkampus
 
14. Query Optimization in DBMS
14. Query Optimization in DBMS14. Query Optimization in DBMS
14. Query Optimization in DBMS
koolkampus
 

Viewers also liked (13)

Cardinality and participation constraints
Cardinality and participation constraintsCardinality and participation constraints
Cardinality and participation constraints
 
Rdbms
RdbmsRdbms
Rdbms
 
Urinary system embryology
Urinary system embryologyUrinary system embryology
Urinary system embryology
 
Introduction to RDBMS
Introduction to RDBMSIntroduction to RDBMS
Introduction to RDBMS
 
The relational data model part[1]
The relational data model part[1]The relational data model part[1]
The relational data model part[1]
 
Introduction to Software - Coder Forge - John Mulhall
Introduction to Software - Coder Forge - John MulhallIntroduction to Software - Coder Forge - John Mulhall
Introduction to Software - Coder Forge - John Mulhall
 
Fundamentals of database system - Relational data model and relational datab...
Fundamentals of database system  - Relational data model and relational datab...Fundamentals of database system  - Relational data model and relational datab...
Fundamentals of database system - Relational data model and relational datab...
 
4 the relational data model and relational database constraints
4 the relational data model and relational database constraints4 the relational data model and relational database constraints
4 the relational data model and relational database constraints
 
3. Relational Models in DBMS
3. Relational Models in DBMS3. Relational Models in DBMS
3. Relational Models in DBMS
 
Denormalization
DenormalizationDenormalization
Denormalization
 
RDBMS.ppt
RDBMS.pptRDBMS.ppt
RDBMS.ppt
 
Database : Relational Data Model
Database : Relational Data ModelDatabase : Relational Data Model
Database : Relational Data Model
 
14. Query Optimization in DBMS
14. Query Optimization in DBMS14. Query Optimization in DBMS
14. Query Optimization in DBMS
 

Similar to Relational database management system (rdbms) i

Database Management Systems (DBMS)
Database Management Systems (DBMS)Database Management Systems (DBMS)
Database Management Systems (DBMS)
Dimara Hakim
 

Similar to Relational database management system (rdbms) i (20)

Lecture 1&2(rdbms-ii)
Lecture 1&2(rdbms-ii)Lecture 1&2(rdbms-ii)
Lecture 1&2(rdbms-ii)
 
Database Management Systems (Mcom Ecommerce)
Database Management Systems (Mcom Ecommerce)Database Management Systems (Mcom Ecommerce)
Database Management Systems (Mcom Ecommerce)
 
Introduction to Data Management
Introduction to Data ManagementIntroduction to Data Management
Introduction to Data Management
 
Unit01 dbms
Unit01 dbmsUnit01 dbms
Unit01 dbms
 
Database Management Systems (DBMS)
Database Management Systems (DBMS)Database Management Systems (DBMS)
Database Management Systems (DBMS)
 
Database Management System, Lecture-1
Database Management System, Lecture-1Database Management System, Lecture-1
Database Management System, Lecture-1
 
James hall ch 9
James hall ch 9James hall ch 9
James hall ch 9
 
database introductoin optimization1-app6891.pdf
database introductoin optimization1-app6891.pdfdatabase introductoin optimization1-app6891.pdf
database introductoin optimization1-app6891.pdf
 
Introduction to Database
Introduction to DatabaseIntroduction to Database
Introduction to Database
 
Dbms mca-section a
Dbms mca-section aDbms mca-section a
Dbms mca-section a
 
Mydbms
MydbmsMydbms
Mydbms
 
Bca examination 2015 dbms
Bca examination 2015 dbmsBca examination 2015 dbms
Bca examination 2015 dbms
 
Dbms 1
Dbms 1Dbms 1
Dbms 1
 
Mca ii-dbms- u-i-introductory concepts of dbms
Mca ii-dbms- u-i-introductory concepts of dbmsMca ii-dbms- u-i-introductory concepts of dbms
Mca ii-dbms- u-i-introductory concepts of dbms
 
data base management system (DBMS)
data base management system (DBMS)data base management system (DBMS)
data base management system (DBMS)
 
Clifford Sugerman
Clifford SugermanClifford Sugerman
Clifford Sugerman
 
Clifford sugerman
Clifford sugermanClifford sugerman
Clifford sugerman
 
Lecture 1 to 3intro to normalization in database
Lecture 1 to 3intro to  normalization in databaseLecture 1 to 3intro to  normalization in database
Lecture 1 to 3intro to normalization in database
 
W 8 introduction to database
W 8  introduction to databaseW 8  introduction to database
W 8 introduction to database
 
21UCAC 41 Database Management System.ppt
21UCAC 41 Database Management System.ppt21UCAC 41 Database Management System.ppt
21UCAC 41 Database Management System.ppt
 

More from Ravinder Kamboj (13)

Data warehouse,data mining & Big Data
Data warehouse,data mining & Big DataData warehouse,data mining & Big Data
Data warehouse,data mining & Big Data
 
DDBMS
DDBMSDDBMS
DDBMS
 
Cost estimation for Query Optimization
Cost estimation for Query OptimizationCost estimation for Query Optimization
Cost estimation for Query Optimization
 
Query processing and optimization (updated)
Query processing and optimization (updated)Query processing and optimization (updated)
Query processing and optimization (updated)
 
Query processing
Query processingQuery processing
Query processing
 
Normalization of Data Base
Normalization of Data BaseNormalization of Data Base
Normalization of Data Base
 
Architecture of dbms(lecture 3)
Architecture of dbms(lecture 3)Architecture of dbms(lecture 3)
Architecture of dbms(lecture 3)
 
Sql fundamentals
Sql fundamentalsSql fundamentals
Sql fundamentals
 
Java script
Java scriptJava script
Java script
 
File Management
File ManagementFile Management
File Management
 
HTML Forms
HTML FormsHTML Forms
HTML Forms
 
DHTML
DHTMLDHTML
DHTML
 
CSA lecture-1
CSA lecture-1CSA lecture-1
CSA lecture-1
 

Recently uploaded

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
 

Recently uploaded (20)

Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 

Relational database management system (rdbms) i

  • 2. Objective  Objective of this lecture is to make students be able to understand the basic concepts of file system and database.  To introduce the problems with traditional file system and advantages of database over file system.
  • 3. Index  What is file System?  Characteristics of file system  Traditional method of data storage  Problems with Traditional approach  What is database and DBMS?  Advantages of DBMS  Difference between file system and database
  • 4. File System  File system was an early attempt to computerize the manual filing system.  A file system is a method for storing and organizing computer files and the data to make it easy to find and access.  File Systems may use a storage device such as a hard disk or CD-ROM.
  • 5. Characteristics of File Processing System  It is group of files storing data of an organization.  Each file is independent from one another.  Each file is called flat file.  Each file contained and processed information for one specific function like accounting or inventory.  Files are designed by using application programs written in programming languages such as COBOL, C, C++, etc….
  • 6. Flat file  A flat file is a file containing records that have no structured interrelationship
  • 7. Traditional Method of Data Storage
  • 8. Problems: Traditional approach  Data Security  Data Redundancy  Data Isolation  Program/ Data Dependence  Concurrent Access Anomalies
  • 9. Data Security  The data as maintained in flat files is easily accessible and therefore not secure.  Example: the Customer_Transaction file has details about the total available balance of all customers.  A customer wants information about his/her account balance.  In a file system it is difficult to give the customer access to only his/her data in the file.  Thus enforcing security constraints for entire file or for certain data items are difficult.
  • 10. Data Redundancy  Often the same information is duplicated in two or more files.  It may lead to inconsistency  Assume the same data is repeated in two or more files. If change is made to data in one file, it is required that change be made to the data in the other file as well.  If this is not done, it will lead to multiple different values for same data field.
  • 11.
  • 12. Data Isolation  Data isolation means that all the related data is not available in one file.  Generally, the data scattered in various files, and the files may be in different formats, therefore writing new application programs to retrieve the appropriate data is difficult.
  • 13. Program/ Data Dependence  Assume in a banking system there is need to find out the names of all customers who live within a particular postal-code area.  But there is only a program to generate the list of all customers.  The bank officer has now two choices: either obtain the list of all customers and extract the needed information manually or ask a system programmer to write the necessary application program.  Both the alternatives are obviously unsatisfactory.
  • 14. Concurrent Access Anomalies  Many systems allow multiple users to update the data simultaneously. In such environment, interaction of concurrent updates may result in inconsistent data.  Example: Bank account A containing Rs. 6000/-. If two transactions of withdraw funds( Rs 500/- and Rs 1000/- respectively) from account about same time, result of the concurrent executions may leave the account in an incorrect state.  Program on the behalf of each withdrawal read the old balance, reduce amount and write result back.  If both two programs are concurrent they both may read the value Rs 6000/-.  Depending on which one writes the value last, the account may contain either Rs 5500/- or Rs 5000/-, rather than the correct value of Rs 4500/-
  • 15. What is the solution?
  • 16. Database Approach  In order to remove all the above limitations of the File Based Approach, a new approach was required that must be more effective known as Database approach.  A database is a computer based record keeping system whose over all purpose is to record and maintain information.  The database is a single, large repository of data, which can be used simultaneously by many departments and users.
  • 17. The Database Management System (DBMS)  DBMS A database management system is the software system that allows users to define, create and maintain a database and provides controlled access to the data.  A database management system (DBMS) is basically a collection of programs that enables users to store, modify, and extract information from a database as per the requirements.  DBMS is an intermediate layer between programs and the data. Programs access the DBMS, which then accesses the data.  The following are main examples of database applications:  Banking System  College Management System  Inventory Control System  Hospital Management
  • 18. Where does the DBMS fit?
  • 19. Programming Languages 4GL ( Database Query Languages, Data Manipulation, analysis and Reporting Languages) High-Level Languages Assembly Language Machine Language
  • 20. Difference Between File and DBMS Operations
  • 21. Advantages of DBMS  Controlling redundancy  Enforces integrity constraints  Better security  Better flexibility  Effective data sharing  Enables backup and recovery
  • 23. Non-Redundant Database  In case of centralized database, data can be shared by number of applications and whole college can maintain its data with the following database: Every application can access the information of other’s by joining on the basis of column ( Rollno )
  • 24. Enforcing Integrity Constraints  Integrity of data means that data in database is always accurate.  Integrity constraints are enforced on database.  Example: Let us consider the case of college database and suppose that college having only Btech, Mtech, MCA, MSc, BCA, BBA and Bcom. But if a user enters the class MS, then incorrect information must not be stored in database and must be prompted that this is an invalid entry. Integrity is to be enforced on class attribute.  In file system this constraint must be enforced an all the application separately.  In case of DBMS this integrity constraint is applied only once on the class field of the General Office.
  • 25. How to enforce integrity?  Integrity rules:  Entity Integrity rule: Primary key value should not be null (Mandatory field)  Referential Integrity: The values of foreign key should match the primary key in parent table.
  • 26. Solution to concurrency Anomaly S (Shared Lock) X (Exclusive Lock) S true false X false false
  • 27. Locks T1 T2 • Lock-X(B); • Read(B,b); • Lock-S(A); • b:=b-50; • Read(A,a); • Write(B,b); • Unlock(A); • Unlock(B); • Lock-S(B) • Lock-X(A); • Read(B,b); • Read(A,a); • Unlock(B); • a:=a+50; • Display(a+b); • Write(A,a) • Unlock(A);
  • 28. Schedule 1 T1 T2 Concurrency-control manager • Lock-X(B); • Grant-X(B,T1) • Read(B,b); • b:=b-50; • Write(B,b) • Unlock(B) • Lock-S(A); • Grant-S(A,T2) • Read(A,a); • Unlock(A); • Lock-S(B) • Grant-S(B,T2) • Read(B,b); • Unlock(B); • Display(a+b); • Grant-X(A,T2) • Lock-X(A) • Read(A,a) • a:=a+50; • Write(A,a) • Unlock(A);
  • 29. Difference between file system and DBMS