Database Management
Systems
MIT 22033
Lesson 01 - Introduction
By S. Sabraz Nawaz

•
A database management system ( DBMS ) is a software package designed to create and maintain databases
(examples?)
MIT 22033, By: S.Sabraz Nawaz B.Sc in MIT, SEUSL
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What is a database? A database is a collection of related data
(University Database, Credit Card Processing Systems, Airline
Reservation Systems, Banking System, etc.)
•
A database is a shared, integrated computer structure that stores a collection of: End-user data, that is, raw facts of interest to the end user.
•
Efficient data management typically requires the use of a computer database.
•
Metadata , or data about data, through which the end-user data are integrated and managed.
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Database Management System
DBMS
•
A is a collection of programs that manages the database structure and controls access to the data stored in the database.
In a sense, a database resembles a very well-organized electronic filing cabinet in which powerful software, known as a database management system , helps manage the cabinet’s contents.
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DBMS:
•
The DBMS serves as the intermediary between the user and the database. The database structure itself is stored as a collection of files, and the only way to access the data in those files is through the DBMS.
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DBMS:
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DBMS:
•
The DBMS receives all application requests and translates them into the complex operations required to fulfill those requests. The DBMS hides much of the database’s internal complexity from the application programs and users.
•
The application program might be written by a programmer using a programming language such as Visual Basic.NET,
Java, or C#, or it might be created through a DBMS utility program.
MIT 22033, By: S.Sabraz Nawaz B.Sc in MIT, SEUSL 7

DBMS:
• Having a DBMS between the end user’s applications and the database offers some important advantages. o First, the DBMS enables the data in the database to be shared among multiple applications or users. o Second, the DBMS integrates the many different users’ views of the data into a single all-encompassing data repository.
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DBMS:
•
The DBMS helps create an environment in which end users have better access to more and better-managed data. Such access makes it possible for end users to respond quickly to changes in their environment
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Concurrent accesses are scheduled by DBMS: users can think of the data as being accessed by one user at a time
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DBMS:
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The more users access the data, the greater the risks of data security breaches. Corporations invest considerable amounts of time, effort, and money to ensure that corporate data are used properly. A DBMS provides a framework for better enforcement of data privacy and security policies.
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DBMS:
•
Wider access to well-managed data promotes an integrated view of the organization’s operations and a clearer view of the big picture. It becomes much easier to see how actions in one segment of the company affect other segments.
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DBMS:
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Data inconsistency exists when different versions of the same data appear in different places.
•
The probability of data inconsistency is greatly reduced in a properly designed database.
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DBMS:
•
The DBMS makes it possible to produce quick answers to ad hoc queries.
•
From a database perspective, a query is a specific request issued to the DBMS for data manipulation—for example, to read or update the data.
•
Simply put, a query is a question, and an ad hoc query is a spur-of-the-moment question. The DBMS sends back an answer (called the query result set ) to the application.
•
Example?
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DBMS:
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Better-managed data and improved data access make it possible to generate better-quality information, on which better decisions are based. The quality of the information generated depends on the quality of the underlying data.
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Data quality is a comprehensive approach to promoting the accuracy, validity, and timeliness of the data. While the DBMS does not guarantee data quality, it provides a framework to facilitate data quality initiatives.
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DBMS:
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The availability of data, combined with the tools that transform data into usable information, empowers end users to make quick, informed decisions that can make the difference between success and failure in the global economy.
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•
•
DBMS supports many functions common to applications that access the database
These applications are likely to be more robust than applications developed from scratch because many important tasks are handled by DBMS instead of being implemented by the application
• Note: The advantages of using a DBMS are not limited to the few just listed. In fact, you will discover many more advantages as you learn more about the technical details of databases and their proper design.
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A DBMS can support many different types of databases.
Databases can be classified according to the number of users, the database location(s), and the expected type and extent of use.
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A single-user database supports only one user at a time. In other words, if user A is using the database, users B and C must wait until user A is done. A single-user database that runs on a personal computer is called a desktop database .
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A multiuser database supports multiple users at the same time. When the multiuser database supports a relatively small number of users (usually fewer than 50) or a specific department within an organization, it is called a workgroup database .
•
When the database is used by the entire organization and supports many users (more than 50, usually hundreds) across many departments, the database is known as an enterprise database .
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A database that supports data located at a single site is called a centralized database .
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A database that supports data distributed across several different sites is called a distributed database .
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Based on how DBMS are used and on the time sensitivity of the information gathered from them: o Operational Database (Transactional or production database) o Data warehouse
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
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Transactions such as product or service sales, payments, and supply purchases reflect critical day-to-day operations. Such transactions must be recorded accurately and immediately
•
A database that is designed primarily to support a company’s day-to-day operations is classified as an operational database
(sometimes referred to as a transactional or production database ).
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
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A data warehouse focuses primarily on storing data used to generate information required to make tactical or strategic decisions. Such decisions typically require extensive “data massaging” (data manipulation) to extract information to formulate pricing decisions, sales forecasts, market positioning, and so on.
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Most decision support data are based on data obtained from operational databases over time and stored in data warehouses.
Additionally, the data warehouse can store data derived from many sources. To make it easier to retrieve such data, the data warehouse structure is quite different from that of an operational or transactional database.
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o
o
o
o
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An example of a database that stores students and their grades of followed courses
STUDENT
COURSE
Name
Smith
Brown
StudentNumber
17
8
CourseName
Intro to Computer Science
Data Structures
Discrete Mathematics
Database
Class
1
2
CourseNumber
CS 1310
CS 3320
MATH 2410
CS 3380
SECTION Sectionaldentifier
85
92
102
112
119
135
GRADE_REPORT StudentNumber
17
17
8
8
8
8
CourseNumber
MATH 2410
CS 1310
CS 3320
MATH 2410
CS 1310
CS 3380
Sectionaldentifier
112
119
85
92
102
135
Semester
Fall
Fall
Spring
Fall
Fall
Fall
MIT 22033, By: S.Sabraz Nawaz
Major
CS
CS
CreditHouse
4
4
3
3
Year
98
98
99
99
99
99
Grade
B
C
A
A
B
A
Department
CS
CS
MATH
CS
Instructor
King
Anderson
Knuth
Chang
Anderson
Stone
B.Sc in MIT, SEUSL
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•
It shows the database structure and a few sample data.
•
It is organized as five files.
o The STUDENT file – data on each student, o The COURSE file – data on each course, o The SECTION file – data on each section of a course, o The GRADE_REPORT file – data on grades that students receive in the various sections they have completed, and o The PREREQUISITE file – data on prerequisite of each course.
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
Traditional File System provided by the Operating System is insufficient to meet the requirements of enterprise applications scenario:
A company has a large collection (500 GB) of data on database.
This data is accessed concurrently by several employees.
Questions about the data must be answered quickly, changes made to the data by different users must be applied consistently, and access to certain parts of the data must be restricted.
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High initial investment (DBMS is an expensive software package)
•
Applications use small amounts of data
•
Lack of resources (disk space, memory, etc.) to support a database
•
Single-user applications
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Overhead for flexible querying, security, concurrent access & crash recovery is not required
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•
•
•
•
A data model is a collection of high-level data description constructs used to model the application domain
Data model hides the low-level storage details
Most commercial database systems are based on the relational data model
It is easier to use a semantic data model to model an application domain. A well-known semantic data model is the Entity Relationship (ER) Model
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•
In relational data model, the main construct is a relation .
•
A relation has fields that belong to it which contain the name
& data type of each field
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A description of data in terms of a data model is called the schema .
o Every relation has a schema, which describes the name of the relation, name of each attribute (field or column), and the type of each column.
o e.g.
Students( sid : string, name : string, login : string, age : integer, gpa : real)
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SID Name Login
53666 SaNa sana@email.com
Age GPA
33 3.8
53668 Kumar kumar@fmail.com
29
53670 Sanath sanath@matara.com
41
3.2
3.9
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o Hierarchical model o Network model o Object oriented model o Object relational model
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To illustrate the meaning of data abstraction, consider the example of automotive design.
•
A car designer begins by drawing the concept of the car that is to be produced. Next, engineers design the details that help transfer the basic concept into a structure that can be produced. Finally, the engineering drawings are translated into production specifications to be used on the factory floor.
•
As you can see, the process of producing the car begins at a high level of abstraction and proceeds to an ever-increasing level of detail. The factory floor process cannot proceed unless the engineering details are properly specified, and the engineering details cannot exist without the basic conceptual framework created by the designer.
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DBMS is described at four levels of abstraction: o External Model o Conceptual Model o Internal Model o Physical Model
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• The external model is the end users’ view of the data environment. The term end users refers to people who use the application programs to manipulate the data and generate information. End users usually operate in an environment in which an application has a specific business unit focus.
•
Companies are generally divided into several business units, such as sales, finance, and marketing. Each business unit is subject to specific constraints and requirements, and each one uses a data subset of the overall data in the organization.
•
Therefore, end users working within those business units view their data subsets as separate from or external to other units within the organization.
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A specific representation of an external view is known as an external schema .
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Because data are being modeled, ER diagrams will be used to represent the external views.
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:
•
The conceptual model represents a global view of the entire database as viewed by the entire organization. That is, the conceptual model integrates all external views (entities, relationships, constraints, and processes) into a single global view of the data in the enterprise.
•
Also known as a conceptual schema , it is the basis for the identification and high-level description of the main data objects (avoiding any database model– specific details).
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The most widely used conceptual model is the ER model.
•
Generally, the term logical design is used to refer to the task of creating a conceptual data model that could be implemented in any DBMS.
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:
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Once a specific DBMS has been selected, the internal model maps the conceptual model to the DBMS.
•
The internal model is the representation of the database as “seen” by the DBMS. In other words, the internal model requires the designer to match the conceptual model’s characteristics and constraints to those of the selected implementation model.
•
An internal schema depicts a specific representation of an internal model, using the database constructs supported by the chosen database.
• Because the internal model depends on specific database software, it is said to be software-dependent . Therefore, a change in the DBMS software requires that the internal model be changed to fit the characteristics and requirements of the implementation database model.
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:
•
The physical model describes the way data are saved on storage media such as disks or tapes. The physical model requires the definition of both the physical storage devices and the (physical) access methods required to reach the data within those storage devices, making it both software- and hardware- dependent.
•
The storage structures used are dependent on the software (the DBMS and the operating system) and on the type of storage devices that the computer can handle.
o Describes storage details o Summarizes how the relations described in the conceptual schema are actually stored on secondary storage devices such as disks and tapes o Decide what file organizations used to store the relations o Create indexes to speed up data retrieval operations
MIT 22033, By: S.Sabraz Nawaz B.Sc in MIT, SEUSL
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•
DBMS is a complex software package and the major components of a
DBMS are shown
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Queries In A DBMS
•
With reference to a fictitious university database
1. What is the name of the student with student ID
SEU/IS/98/MG/16?
2. What is the average salary of lecturers who teach the course with course ID MIT22033?
3. How many students are enrolled in course MIT22033?
4. Is there any student with a GPA less than 3.0 enrolled in course CS564?
•
These questions involving the data stored in a DBMS are called queries
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Queries In A DBMS
•
A DBMS provides a specialized language, called the query language in which queries can be posed
•
Relational calculus is a formal query language based on mathematical logic
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Relational algebra is another formal query language, based on a collection of operators for manipulating relations, which is equivalent in power to the calculus
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Database design process can be divided into 6 major steps:
(given in Raghu’s text book)
Requirements
Analysis
Security
Design
Conceptual
Database
Design
Physical
Database
Design
MIT 22033, By: S.Sabraz Nawaz
Schema
Refinement
Logical
Database
Design
B.Sc in MIT, SEUSL 43

•
This step answers the following question:
“What users want from the database?”
what is going to be stored in the database
what applications are going to be built on top the database
what are the most frequently asked queries
Requirements
Analysis
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Result:
A well-written concise document enumerating the user’s requirements
Requirements
Analysis
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For example: a library database…
Data to be stored can be…
•
Record of all books in the library
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Record of members of the library o Students o Faculty o Other members
• Record members’ borrowing information
Requirements
Analysis
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Some applications on top of the database can be…
•
Renewal service (may be online)
•
Borrowing-Lending service
•
Resource reservation system
(may be on-line)
•
Resource request service
(may be on-line)
Requirements
Analysis
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The information gathered in the requirements analysis phase is used to create a high-level description of the data in a conceptual data model. ( Semantic Data
Model, e.g. E-R Diagram )
Requirements
Analysis
MIT 22033, By: S.Sabraz Nawaz
Conceptual
Database
Design
B.Sc in MIT, SEUSL 48

In this step, we determine the
DBMS to implement the database & also the data model
We utilize the conceptual schema created in the previous step and convert it into a schema of a particular data model (e.g. Relational
Database Schema )
Logical
Database
Design
Requirements
Analysis
Conceptual
Database
Design
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The schema created by the logical database design phase is further refined for potential problems such as redundancies (e.g.
Normalization)
Schema
Refinement
Requirements
Analysis
Conceptual
Database Design
Logical Database
Design
B.Sc in MIT, SEUSL 50 MIT 22033, By: S.Sabraz Nawaz

In this step, performance criteria are taken into consideration and further enhancements to the schema
& creation of indexes are considered
Physical
Database
Design
Requirements
Analysis
Conceptual
Database
Design
MIT 22033, By: S.Sabraz Nawaz
Schema
Refinement
Logical
Database
Design
B.Sc in MIT, SEUSL 51

In this step, different user groups and their roles are identified. Appropriate levels of access are then provided to the data ensuring that users have access to only the necessary data.
Security
Design
MIT 22033, By: S.Sabraz Nawaz
Requireme nts Analysis
Conceptual
Database
Design
Physical
Database
Design
Logical
Database
Design
Schema
Refinement
B.Sc in MIT, SEUSL 52

Requirements
Analysis
Security
Design
Conceptual
Database
Design
ER Diagram
Physical
Database
Design
MIT 22033, By: S.Sabraz Nawaz
Schema
Refinement
Logical
Database
Design
Conceptual Schema or Logical Schema
B.Sc in MIT, SEUSL 53

•
Submission Deadline 31 st December 2013
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Reference:
Ramakrishnan, R., & Gehrke, J. (2003). Database management systems . Osborne/McGraw-Hill. (Pp. 03– 23)
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