Source: By Action Research Team
LESSON-1
1.
BASIC TERMS AND CONCEPTS – Review
1.1
INTRODUCTION
The Data-Modeling
techniques are fairly recent adoption of system analysis practices of
developments so far, as is known. There is infrequent comprehensive exposition
of the state-of-the art system analysis and design practices which attempt to
embody experiences gained by several years’ participation in their course of
proficiency of work.
Prior to the emergence of business
system information regular objects, the system designers and analysts were
captive of whims in circumambulation of twists and turns, while fixing one
naught and then caught up into another. The consequences were gloomy system
design. Ultimate handicaps were interruptions on business floors for smooth
flow of automated business systems. Inheritably, the economic competitiveness
was refrained beyond certain efficiency, undoubtedly causable to catastrophic
business disrupts.
This monograph is authored as a part of
series in pipeline for Instrumental Data Modeling of Management Information
Systems (MIS) using state-of-the art technology for online milieu of
transaction processing of business applications. The made-easy professional
tips and tricks for Information System practitioners have been construed here
to dealing with trivial and nontrivial paradigms.
Here, the focus of this monograph is to
enrich broad-spectrum skills and practices of instrumental system designing,
which are in soaring industrial demand of Information Technology.
Characteristically, these acumens of articulation enforce; the integrity
business system processes of online transactions, their events of tasks
synchronized with security and performance irrespective of time and
geographical bonds. All these are of high worth to build and integrate MIS typical
objects.
Equally, the monograph employs; set
theory basics, logical operators, business system processes breakdown, and
translating linguistic semantics into facts made of predicates. Further, in a
logical framework store and retrieve information objects and to extract from
database retrievals of pertinent objects for construer of MIS. The beginners are
axiomatic recipient of these data modeling skills’ potentials of identifying the
relevant information objects used in business transactions and entailing
operations; insert, delete and update, and MIS retrievals. The practitioners may
find the document a source to enrich their skills as engineering way-out to
grasp system designs standards. Novelty is, these solutions constituent incremental
roll-model, all set for later on alterations to coup with business processes
growth.
In order to coup with
the evolution direction of system designing skills, authors utilize the
monograph as analytics of resolving issues of systems’ paradigms. They, successfully
disseminate, as made easy training document to boost system modeling skills to
wide variety of youngsters, who have found this fruitful in building up their
confidence level. The continuum series of industrial monograph is to lead
advances in system modeling embedded with class and object designing while
introducing Object Oriented Relational databases as industrial practice.
This document reflects
many advantages in binding theory and practices as an engine of the design
nucleus, especially responding ‘why and how’ in data modeling.
NOTE: This
version of document is raised on the understanding that neither the publishers,
nor the authors shall be responsible for absolute correctness or sufficiency of
any information or illustrated tables and queries contained in it. The authors
reserve the right to edit excerpts for reasons of clarity and preciseness, any
time.
1.2 THE LEAST YOU NEED TO KNOW
The terms are arranged here in sequence with natural needs of their
learning;
Data/ Information
Data are most preliminary atomic
component, syntactically string of characters with no apparent semantics on
their own. Semantics are associated meaning with data which may vary under
different contexts.
Example-1.2.1;
A string of 8 characters, say, 02111999
means nothing, unless one knows the
associative knowledge, as group of digits representing contents such as
the first two digits stand for the day, next two for the month, next two digits
for the century, and the last two digits for the year.
Type
It
is a generic general term to identify data component of a database.
Example-1.2.2;
Data
types are; data item type, record type, file type, and many more.
Occurrence of Type
An occurrence
identifies a specific set of values of a type. While Type is a general term,
occurrence is a specific term.
Example-1.2.3; Data Item/ Field:
FIELD OCCURRENCES
Student-Name John Hock
Age 52
Gender Male
Major Computer
Science
RECORD; Student Records’
Fields
Student-Name Shirley
Address Boulevard Avenue,
Technology Park, Super City.
Gender Female
Phone 99-45-9567891
Data Type
The associated Field Values mark Data
Type and Domain to encompass correctness of their prescribed algebraic
operations, which require Apple with Apple.
Example-1.2.4;
DOMAIN DATA-TYPE DATA-VALUE
Employee Name Characters Jones
Social Security Identifier Integers 510-64-4478
Date-of-Birth Date 24-May-1943
Data-Field
Data-fields by name
designate characteristic of basic values to comprise a record. The content of
the data-fields are called data values, which are stored, maintained, and
provide on access by software programs to users.
Example-1.2.5;
DATA-FIELD: Name
Social Security Birth
Date Birth Place
FIELD VALUE: Jones,
510-64-4478,
24-May-1943, New York
Input/ Output
INPUT; Inputs are
the data values, which come from outside world into information system as facts
and figures of pertinent instances of business system needs. These are checked
for their correctness or integrity before they are finally accepted as recorded
data values into the systems.
OUTPUT; The processed
or crunched inputs for various judgment-needs, and provided to endusers.
Example-1.2.6;
Input; Monthly Payroll
Transaction
Output: Monthly Pay-slip
Data Structure
Physical form of
organizing data in memory or storage media is generally called Data Structure.
The software programs manipulates through appropriate algorithms (for
efficiency) over those physical forms aiming specific data crunching. Data
structures are static/ essential part where the technologies of information
manipulation act and react for change of values or states associating semantic
values of the desired effects.
Example-1.2.7;
BASIC DATA STRUCTURE: Arrays;
single and multiple dimensions, Character Strings, Lists, Inverted Lists,
Tables, and many more.
SECONDARY DATA STRUCTURES: Trees,
Indexes, Decision Tables, Knowledge Tables and many more.
Algorithm
Algorithm is part and
parcel of Data Structure, which is a navigational/ execution path in memory or
Storage-media required to arriving at solution. On this path the software
program manipulates data values wherever whatever exists on data structure
media.
Consequently, to secure a
solution the algorithm navigates over data values organized in structure to
acquire solution based on various stored values. The algorithm is not an
exclusive technical word employed in mathematical computation; rather, it is
equally in use for non-mathematical problems too.
Example-1.2.8;
(non-mathematical paradigm)
Workout
solution ways of the problem that is described below;
There are eight balls
equal in weight except one, which is heavier. A two panel balance device is
available for precision.
Various algorithms may
be worked out to get a solution ‘which ball is heavier’ see below;
a.
Brute Force Algorithm; Try all
combination of pairs of balls, track one which is heavier. To configure all
combinations needs and annihilate one by one of equal weights, requires control
and management system before one gets lost in the course of picking the right
solution.
b.
Moderately Skilled Algorithm; Fixed one
ball in a panel of balance device and keep changing ball in another panel in
multiple weighing operations. It allows as minimum one and maximum 7 weighing
operations, the guaranteed result is there as soon the device shows the first
time heavier sign.
c.
Intelligent Algorithm; Make two
groups of balls each of four balls. In the first weighing operation eliminate
lighter group of four balls. In the second, eliminate lighter group of two
balls as above. In the last step of two balls heavier group in hand eliminate
lighter balls as above. Thus, the heavier ball is separated in three shots.
Example-1.2.9;
A teacher is coerced to
compile results of his class students, held during a semester for a large group
of students. It is better since beginning prepare a two-dimensional table where
the first column bears students’ names, and the second and more columns test-id
for test results of respective students. The compilation ends up in column-wise
and row wise navigations. The indicated navigation is algorithm and the two
dimensional table is the data structure.
NOTE: The choice
of optimized structure and algorithm is the programming capability, and is open
in devising solutions, which vary in characteristics.
Record
A record is a collection of related
data-fields containing elemental data items. Fields may be related explicitly
to instance ID or in some way related to each other. Fields describe some
specific instance, say, a person, an object, or an event, which has instance
ID. A record of an employee contains information such as Name, Social Security,
Birth Date, and Birth Place. Name data value is ID also.
Example-1.2.10; RECORD: EMPLOYEE
|
FIELDS:
Name Social
Security Birth Date Birth Place
File
A file is a collection of similar
records stored on computer devices. A file has a name known to the operating
system for control. Normally, the file has single structure (layout) and
organization of records, which is determined/ employed by file access
program(s), in order to read or write specific record(s).
NOTE: While
organizing records in a file, it is not a good idea to mix different type
(layout) of records in a file. Thus, file ‘Employee’ may contain records of
employees or file ‘Department’ of department only.
Example-1.2.11; File
EMPLOYEE Record Layout of Fields
LAYOUT
(in-char): 1 – 10 11 - 26 27 -
37 38 - 57
FIELDS: Name
Social Security Birth
Date Birth Place
Transaction
The actions that go to
up-to-date recording of business system information. These causes changes in
the pertinent-field(s) of pertinent record(s) of pertinent file(s).
Example-1.2.12;
Transaction types include;
Change of Data-items(s);
- Insertion;
Inserting data-item comprising record(s) in pertinent files in appropriate
records organization of that file without disturbing other records or
organization.
- Updating;
Updating of data-items of pertinent record of a file without disturbing
the record placement where ever it is.
- Deletion;
Deletion of record(s) that is comprised of a set of data-item(s) as
physical removal, and there are multiple ways to handle these physical
removal.
Read Only - Information Mining;
- Retrieval;
Retrieval of Information that is made of chunk of data items of record(s)
of File(s).
Master File
This is a type of file consists of
master records, whose data-item(s) are up-to-date in nature pertaining to some
logical facts of some business processes. The file is fairly permanent,
data-items are retained relatively longer period of time.
Example-1.2.13;
Students’ Master File; containing
up-to-date list of all active students
Transaction File
It is a collection of transactional records
of a certain event(s) of certain time duration that contains records waiting to
react with records of their Master File. Transaction Files are short lived,
once the transactions react to records of Master File, it outlives the utility.
The specific software programs process these transaction file records to react
with the corresponding master record(s) in MASTER FILE. These reactions leave
net effect over the pertinent record(s) and pertinent data-item(s)/ field(s) of
Master record(s). These reactions include appending, updating, or deleting a
record.
Example-1.2.14; Transaction
Reactions to Master
Transactions update record of Master
File such as; Delete transaction to delete a particular Student record from the
pertinent Master File as per prescribed method. Insert transaction creates
record(s) either places as append or insert in appropriate order of the
pertinent Master File. Modify transaction is to update some parts of record(s)
of pertinent Master File.
File Processing Modes
There are various modes of processing
transaction(s) to react with the corresponding Master file.
Batch Mode Processing; Transaction
processing is done to react with their Master record(s) on periodic basis. In that gap duration, transaction records are
cropped up as a batch of transactions in a Transaction File for processing (by
a specific program) in Batch Mode. There are various naming conventions in
practical terms of such transaction files, satisfying their identification
needs.
Example-1.2.15;
Monthly payroll has
transaction file of new employee records, transfers of posting, salary
increment, termination, stop salary, and many more. The payroll Master File has
master records of employees with up-to-date data values carried over from last
processing months.
Real-time Mode
Processing (on-time when event occurs); Transactions are made
to react with respective Master record(s) in Master File instantly on event
basis. This processing action is triggered as when needed.
Example-1.2.16;
Updating inventory balance on each sale
of item(s), the transactions of sale reacts to reduce quantity in stock of
saleable inventory of that item. This event will leave the stock quantity of
that item short by one for display.
Data-Integrity
Data Integrity is concerned with the
degree of correctness, timeliness, and relevancy of data-item(s) within a
pertinent context. This needs correct occurrences in all respects;
Syntactically and semantically
Correctness; The syntactical correctness means data
items within the physical domains, and semantically correctness means
prescribed logical domains of rules involving multiple predicate and data items
(business rules).
Every data item is a corporate resource of
organization so its syntax and semantic must be uniform too.
Example-1.2.17;
Syntactical Correctness
(Physical Domain); Data-item occurrence must be from the specific
range physical domain, or may be unique, similarly many more;
Salary per month of a
sales-employee is prescribed between US$ 1500 to 2000. Say, a candidate
data-item is US$2200 or A200 is invalid.
Semantic Correctness
(Logical Correctness); Date of joining of employee should not be in
violence of Child Labor Law. If the two date values; Date of Birth and Date of
joining are syntactically correct, the difference of days computed from the
entered dates should also be correct to avoid violation of Child Labor Law.
Example-1.2.18;
In an educational environment of a
University, students are the key components. The fields of the name of students
and their address may be common in various information systems of a University
and maintained in different standalone environments. One system may have more
emphasis on financial figures and so their correctness, while names spell or
addresses are of secondary importance, and vary in degree of their correctness.
These specific correctness’ enforcements prohibit their share-ability.
Records Identity
Since relevant data records are collected in a file that has name
(recognized by computer oriented file system). The file is organized in a
suitable order. This makes essential to identify records of file(s) by specific
data-items. Further, it is also an imperative need for interaction of business
floor with the computer oriented file system, in order to interact with
specific record(s). Characteristically, these should be;
- Must be same
through out the records of a file,
- Must be unique
for each record
- Must be
everlasting
- Must be precise
and optimized in usage and growth
- Must be
compatible to business floor needs
- Must be easy to
use in computer organization and floor world
NOTE; There are various means and ways
to configure such records identity. Here this discourse is confined up to its
usage in file organizations.
File Organizations
A file is a collection of records, which is
organized underlying any one of the feasible organizations of records by
record-ids for the purpose of convenience of access to specific records.
Inheritably, these access disciplines are managed and controlled on plug-in
basis by the operating systems. The
accesses organizations include;
Sequential Access
Organization; Records are organized on computer storage in sequence,
while the insertion is appended, as they are created, and their access
is sequential that means access each and every record from beginning of the
file and check for desired record by record-id.
Example-1.2.19;
File
of Enrollment of Students in a University, which is allocated a unique
enrollment number as the identity for external and internal use of computer
storage, in sequence the next available empty identity and duly recorded in
Enrollment file.
Random Access
Organization; This allows to inserting and accessing records on storage
media enabling their access as random. This means without any access preconditions
and fetching the desired record straight away.
Example-1.2.20;
Common instances; index files, inverted
files, also databases
Keyed File Organization
and Access: This is organized as groups and subgroups of component
data-items, which are the part of records whose value singles out a record. The
value of its key is used to derive place of insertion and access a
record. The indicated components often called the primary key, secondary key
and tertiary key and so on. The techniques to obtain address of a record from
its key components include; Indexing, Hashing, and Lookup tables.
Example-1.2.21;
An employee record
‘745-35-8951’ as a very simple
determination allocates its record number ‘8951’ within superlative group ‘35’
that suppurated by ‘745’ where it can be fetched for retrieval from storage
media as stored over there.
Programming Languages
Basically, these are
artificial languages with limited logical syntax and semantics for man machine
interaction with limited obligations of perception and execution by machine.
However the commands initiated by outside world for inside computer executions
are translated at atomic level by middle layer of software. The evolution of
these languages, since its early origination in post Second World era has gone
through painful stages to arrive at the state-of-the art. These programming
languages by classification of hazy generations are known to be;
Example-1.2.22;
First Generation
-Machine Languages; These were atomic level machine instructions
directly executable by computers’ architecture.
Second Generation -
Assembly Languages; it was the first attempt to make programming
instructions partly in communication human lexis by using mixed alpha-numeric
codes to identify classification of instructions. Imperatively, it required
translation of programming instructions into machine executables. Translator
software programs were employed, called, Translators.
Third Generation –
Compilation Oriented Languages; These include BASIC, FORTRAN, PASCAL,
C, and many more. These were classified as high-level languages, which had more
logical consistency in expressing group of machine executable instructions. To
make machine executables they required special software that parses the
instructions text and converted into machine executable atomic instructions.
The evolution phase of these languages brought them up to structured constructs
of programming, especially, in dealing loops; repeat set of instructions and
termination, recursive loops, and many more. The process was called compilation
with enhanced functionality of computer technology.
Fourth Generation –
Structured Query Languages; SQL based INGRES, SYBASE, ORACLE, DB2, and
many more. These were tailored to meet the needs of Relational Databases. The databases
era inculcated MIS current movement dragging the technology out of File based
processing systems. This implanted a revolutionary change in MIS thought
process where information of events is key resource of business systems dynamics and so business
competitiveness.
Fifth Generation
Languages – Window Based Processing; Object Oriented
Languages; C+, JAVA, window based ORACLE, advanced versions of LISP and PROLOG
and many more. They are capable of providing graphic supports through
window-based breakdowns of programming components.
Compiler
It is a special kind of software with
specific obligations of translating high-level sequence of programming
instructions to translate into machine executable programming code. The levels
of conversions include translation, compilation and memory addresses
generations assigned to programming instructions, and merging them all into one
machine language compiled executable unit, often called ‘exe’ file. The
compilers are specific to programming languages, for specific machine
architecture and version and brands.
Example-1.2.23;
Compliers; FORTRAN for IBM Computer, ICL
computers, Honeywell, and others
Operating System
Computer machine by itself is a black
box of electronics chip circuiting. The primary function of an operating system
is to make the capabilities (execution of programming instructions) of computer
system available to software programs’ execution. The Operating System software
is loaded into the special part of computer memory, which enables to control
and manage machine operations by dynamically linking different components of a
computer system in operational mode.
Example-1.2.24;
Operating systems; DOS, UNIX,
LINUX, WINDOWS 98, WINDOWS 2000, WINDOWS XP, SUN SOLARIS, and many more
Software Program
Specific task oriented
set of computer instructions in any of the generation of languages above
indicated which crunch data items on files and produce results as outputs, in
simple words these are called software programs. There are a variety of
software programs, which are categorized according to their nature of use.
Example-1.2.25;
Software Program; Operating
Systems, Drivers, Networking Communication Systems, Internet Surfing, Virus
scanning and fixing, and many more
Data Bases – File
Oriented
A database is a collection of
inter-related files (data files), file layouts, field domains, quick reference
for access, and any specific that is needed to maintain and use it. Databases,
which are maintained on computers for insert, delete, update, and retrieval
from computer files usually called, computerized database of file system.
Example-1.2.26;
University Students Examination System,
Railway Booking System, Air Line Booking System, and many more
Database Management System
(DBMS)
A collection of software programs required to
store and process; insert, delete, update, and retrieve events on database file
system is generally called DBMS. The Software Companies in IT industry marketed
the branded DBMS products.
Example-1.2.27;
On-line Library Search,
Accounting Packages for small size companies, Inventory Control System.
Database Key(s)
It refers to the
address of a record occurrence stored in a database file. Usually it is
composed of certain identifier. The database key value of a record is generated
by the DBMS in use.
Example-1.2.28;
The data values in
computer processing pass through various Operating Systems, processing
environment (batch or on-line), and programming languages, consequently data
gets insulated and does not suit to any change of Operating System, environment
and language.
Example-1.2.29;
Data
files of mainframe computers may not meaningful to Personal Computers
Data Processing
When
data is being processed two basic operations are performed;
Maintenance; refers to changes in data/ records of a
file in some manner. These are;
Example-1.2.30; adding new
records;
Inserting record(s) in appropriate place
of its organization of records of student(s) in Student File
Example-1.2.31; Deleting of
record;
Student record(s) of
specific Identity to be deleted from Student file, if already exists in that
file. In situations physical deletion of record(s) is done in steps.
Example1.2.32;
Updating a record;
Making
effective, new spellings of student’s name, if, the specific student record
already exists in a file. This updating means change of spelling stored in the
field of student-name only, without disturbing other contents of that
record(s).
Managing Data;
Commonly
there are three important problems of managing data, which are;
- Data Retrieval; retrieval of data in many
manners from file system, some times within a very short time.
- Data Integrity; Reduction in data
duplication and uniformity of data syntax and semantics to make it a
common resource.
- Data Independence; to make data
independent of insulation of environment, operating system and other
machine layers.
Retrieval; It means reading data from file into
computer processing memory.
Example-1.2.33;
List
down students residing in dormitory
Most Desirable Requirements - Retrieval;
a.
User should have a great deal of retrieval
flexibility from file database, and be able to link data items from various
inter related files.
b.
User should be allowed reformatting of files
need specific in order to reduce duplication and storage on need specific.
c.
Since all users will access data in universal
manner, there must be of high level of independence.
d.
All these goals should be achieved while the
database is operating in real time mode.
Types of Database User
Enduser; A person who directly extracts information
from the database to fulfill job functionality of the business floor.
Specialist User; A
knowledge-able user of database may be designer, developer, database analyst,
database administrator, system auditor, and many more.
System Analysts; Analyze the business
paradigms to recognize the actual needs of information objects and services to
cater opportunities of existing business promotion.
Database Analysts; Focuses on
determining requirement by standard analysis means and produce design of
database components of information system.
Programmers/
Application Developers; Capable to read database design requirements
and develop programs that have embedded in their commands to maintain and
access the database.
Besides an application developer two
basic skills are essential, one is capability to read and perceive a relational
data model that enables designer and developers to imagine and devise all its
effects on structural (entity) components and characteristics in a business
system context.
Database Administrators; Administers
consistency and integrity across databases, and provide consultancy and
training of internal database structure and resources to other team members.
Technical Experts; networking, operating
system, testing, and documentation experts.
1.3
BASIC TERMINOLOGY OF MODERN DATABASES – Quick look
Concept of Set and
Information System Designing
In plain analytics, Set is a collection
of objects without duplication. Expediting, this definition in physical form
means, collection of objects would not require any discipline or order of their
arrangements. The ID of objects would be acquired by data-values
(non-duplicate) in standalone or in group and subgroup classifications.
Our domain of interest regarding the Set
is confined to a collection of similar records (objects) that may be organized
in a file structure or otherwise.
In simple words, the
concept of set is deployed in a two level file structure of two different class
of record types designed to link the two files’ records as set members. Each file records formulate a set, and link
means associating with a record of a file a set certain record(s) of the second
file set.
Example-1.3.1;
Conceptually, to
represent Department and Faculty where each department consists of none, one,
or more faculty member(s) that means there is a set of departments in
Department file and sets of faculties for each department in Faculty File,
while the links identifies each faculty with their department. This
relationship of Department records with Faculty records is called of the type
(1:n).
In a set of records Department is
designated as owner record type (the ‘1’ of (1:n)), and Faculty is
designated consisting of member record (the ‘n’ of (1:n)).
The
graphic depiction of that design is;
|
Owner Record Type:
Set
(file) of department records
Relationship of 1:n
|
Member Record Type:
Set (file) of faculty records
DBMS – File Databases
Database Management System (DBMS)
package of software products is organized to manage file storages under
different schemas for the purpose of records management and maintenance;
insert, delete and updates of records, and to some extent simple retrievals
like Query By Example (QBE).
Example-1.3.2; DBMS
Insert Record
 |
Update Record
Retrieve Info
 |
|
Delete Record
DBMS Types
Prominently speaking
there is four categories of (schemas) of DBMS File systems, which are in use in
File oriented environments. In brief these are described here as states of
evolutions of state-of-the art databases. These include;
- Hierarchical DBMS File Structure
- Network DBMS File Structure
- Inverted List DBMS File Structure
- Relational DBMS Table Structure
Hierarchical DBMS File Structure –
marketed brands
Conceptually hierarchy
stands for a characteristic property that a child has one and only parent.
The hierarchical DBMS deals with physical structure of records organizing as
parent-child while child records are stored as physically adjacent to
their parent record in the same file, prior to another parent. Classically, the
navigations over these records were restricted due to hierarchical origin,
because a child is originated from one and only one parent that also signifies
its path to access. A parent may have none, one and more child records. The
uniqueness is determined by combination of set of child and parent and not by
individual set members standalone.
Example-1.3.3;
Consider again
Department and Faculty example of (1:n) relationship of Example-1.3.1,
which were designated as owner and member records of that relationship. The
same problem in hierarchy setup would be called parent records instead of owner
and child record instead of member, but both are stored in one file. The
physical adjacency all in one file, where a parent record immediately followed
by child their records, till the new parent record is stored. Incidentally, it
is beyond our discussion to consider its pluses and minuses at this stage. See
depicted version;
Exercise-1.1; for
practice;
Underneath is a hierarchical
schema setup, demonstrate hierarchical DBMS File structure of the same.
Exercise-1.2; for
practice;
Conduct
exercise to identify navigation paths to retrieve information from;
a.
Parent to child level
b.
Child to parent level
c.
Child to child level
Exercise-1.3; for
practice;
Diagram hierarchical
DBMS design in File system database of the file organizational setup;
a.
Directors
b.
Divisional Heads
c.
Supervisors
d.
Office Clerks
Exercise-1.4;
for practice;
A game board has many clubs as members,
and each club has their members various players. Construct hierarchical DBMS
file system, having information of tournament and their matches, matches
results, the team members, captain and vice captain. The navigation for the
following type of queries is essential;
a.
Matches, results and teams
b.
Matches scores of teams
c.
Highest and lowest teams
d.
Players panel events
Network DBMS File Structure – marketed
brands
Conceptually, network
DBMS; means a child may be associated with multiple parents and so vice
versa. It also refers to two level
relationship between different record types.
Analytically the
navigations of these records would be coerced to know the choice of parent to
path the access to a record, because a child may be originated from multiple
parents and so the path(s) links the pieces of information where they pass
through.
Since it is both ways multiple, these
are designated in relationship, symbolically (n:n). Often these
situations were handled with multiple hierarchies DBMS File Structure (based on
adjacency of parent child records) that means much duplication of information
system and so their efforts too. The uniqueness is determined by combination
set of child and parent and not individual set members’ standalone.
Example -1.3.4; a simple
case;
An
Instructor works for more than one department, and vice versa.
 |
à points to child
|
In
hierarchical split these look like;
 |
 |
(1: n)
(1: n)
|
|
||||
Exercise-1.5; for
practice;
Orders are placed of multiple items to
multiple suppliers each day.
Diagram
network-file DBMS design
Inverted List DBMS File
Structure – marketed brands
Inverted list file is a special structures providing the organization of header
and references tail (open end). These were recommended for quick
referencing for accessing specific data records on the basis of attribute data
values. Likewise; to extract information specific to female gender, the
inverted list provides ready list whose header is ‘female’ and followed by
records or links pertaining to that attribute data value in this case it is
‘female’. The references may be organized in adjacency with of each header, or
by pointers
GENDER VALUES RECORD ID
FEMALE R1, R4, R5, R8, R10
MALE R2, R3, R6, R7
The DBMS products were
capable to produce inverted list files and allowing on them the set theory
algebraic operations like Union, and Intersection for retrieval.
Example-1.3.5;
A Library has 1000 books on different
subjects. Book records consist of information on book title, author, subject,
and publisher. Indices of subjects are organized in Inverted List File
structures depicted below;
BOOK RECORD
|
SUBJECT INDICES SET; Subject with physical
adjacency of Book Nos
|
 |
Flat Files Databases
& Relational Databases
The classical set
theory is the backbone of relational databases, and so their analysis and
design, that provides ground for instant logical manipulation for MIS needs.
The system analysis and design analytics
transform business systems’ paradigm into a robust set of facts. The
business system processes are built up around those facts. The facts are
construed strictly in pursuit of the information calculus.
The facts engineering mechanism provides
guaranteed support of information algebraic operations for ready extraction of
MIS in support of ongoing business activities, which are duly recorded in the
database. In plain words, the relational database is a dynamic repository of
relational business facts in its own integrity.
The mounted techniques enable to convert
business facts event into a standard design with predefined relationships
amongst them, practically at the cost of no redundancy and high degree of data
integrity and data independence. Rather, easily enforcing business rules and
integrity constraints.
Further, these information objects are
construing the MIS, which can be manipulated by means of set operations. These
operations have already been programmed and stored as software units of RDBMS
tools as package including ORACLE and others, and their uses are made
rationally straight forward.
NOTE: Although the business description semantics
is translated into syntactical repository of pertinent facts in the form of
databases, while the semantics of facts is derivable from the acquired
syntactical database repository.
Flat Files Databases are portrayed as under;
The physical structure of a flat file
means organizing files of records layout; with fixed fields and their length
irrespective of their basic type. Behaviorally, these are not tables but look
like tables.
The physical structure of relational
databases is different in many respects than a flat file system of databases of
fixed fields and fixed length records files.
NOTE: RDBMS
structure is neither flat files nor a matrix representation deployed in matrix
algebra, where a matrix structure is two dimensional arrays of cells with
identity of row and column numbers holding values of one type may be numeric
only, and complete matrix is one operand unit of the prescribed matrix algebra.
Relational Databases;
The relationships of entities spin the
application system, while entities have pivotal role in relational database. The
entities catalog classes pertaining to sets of identical facts, which are in
relationship with facts of other entities.
Since this industrial monograph is
dedicated on the subject of relational Databases design that is called here
data modeling, all its key features are dealt one by one as software
engineering practices focusing on the same. The deliberations here are confined
to an introductory buildup level aiming to better grip of delicacy of skills to
this effect.
Relational Databases are portrayed as under;
 |
In simple words - what is a Data Model?
Conceptually, a Data
Model is a static structure for holding facts and effects on them of business
processes, which formulate the dynamics of business system. The system dynamics
results into change(s) in state of the facts, which are cohesively
inter-related and describing the new state. The resultant state of facts,
represent a prescribed status of the business system.
The system analysis and design identify
paradigms of the facts and their relationship, from start and end of the
business process flow.
Classically, a data
model has the basic two-dimensional static structural meanings;
a.
A Data Model is a Set of Entities or Tables
(Entity/ Table are synonyms).
b.
Each entity is a set of facts,
characteristically comprised by attributes; as column(s), their occurrences
appear in row(s) of similar semantics.
c.
Entity rows are unique as collection of facts
without duplication.
d.
Relationships do exist at the birth of
occurrences in between;
1.
Entities
2.
Columns (attribute) components of fact
3.
Rows (facts) between collections of facts of an
entity.
Implementation Structure, it is implemented in table type structure, which is different then
file or flat file structure. The internal database structure pertains tables’
names, pertains rows (objects) of that table, each row (object) of a table has
object ID (not row ID) and is made of attributes (columns) data values in
specific domain. All rows of a table are
made of fixed number of attributes throughout their life time, and secure value
from one and only one domain, which comprehends its’ semantics. An
Illustration;
Example-1.3.6;
A table type
structures for STUDENT, that physically describes a student in that particular
context, and every attribute has prescribed domain, say, Name comprises of
maximum 20 characters of commonly known character set.
STUDENT table is set of
facts of students with attribute values; STD_ID, NAME, ADDRESS, BIRTH_DT, and
GENDER
TABLE:
STUDENT
 |
A table type structure
of COURSE table is set of course facts with attributes data values; namely,
CRSE_ID, CRSE_NAME, DEPRATMENT and SEC#, rest same as above.
TABLE: COURSE
 |
A table type structure
of FACULTY table is set of facts of faculty with attribute values; FAC_ID,
FAC_NAME, DEPARTMENT, and GENDER, rests same as above.
TABLE: FACULTY
 |
Example-1.3.7;
A database can be
constructed cohesively, by adding here table as repository of events of the
business system dynamics that is students’ registration in courses. This is
meant here; specific student registered in specific courses and taught by
specific faculty(s).
A
table type structures of REGISTRATION.
TABLE:
REGISTRATION
 |
Discussion; The courses
registration table relates occurrences of three different tables as a critical
important business rule. The facts recorded in these three tables form objects
of REGISTRATION table to mark an event of registration of business process
describing the student, the course, and the teaching faculty.
This
example shows entities relate specific instances of related facts.
Example-1.3.8; SCHMEA
Depicting
this relationship of four entities (tables) below which is often called
schema (logical model);
STUDENT COURSE FACULTY
 |
 |
 |
|||
REGISTRATION
 |
Discussion; The
above-depicted schema of the business events relating (cohesively) the facts of
four entities is in parent-child relationship with parent entities STUDENT,
COURSE, FACULTY and child entity of all the three is REGISTRATION. Uniqueness
of occurrence of each fact will be focused upon in next chapters.
Exercise1.6;
for practice;
For better understanding of Example 1.3.8
answer the following questions;
a.
List down each parent-child relationship
marking their occurrences form parent entity and corresponding child entity.
b.
An occurrence in child entity could have
instance, which does not exist in the relevant parent(s).
c.
How many maximum entries can occur in child
table where counts of the parent entries are taken from Examples 1.3.7.
d.
In case a student takes a course whose faculty
is not known how that student course registration would be made effective,
discuss.
Exercise 1.7; for
practice;
Let in Example-1.3.7
the REGISTERATION is replaced by the following table and data;.
Argue whether the Four
tables STUDENT, FACULTY, COURSE, REGISTRATION are relational or not?
TABLE: REGISTRATION
 |
1.4 ANSWER TIPS ON
EXERCISES
Exercise-1.1;
ANSWER TIP of Hierarchical Design Database
Diagram hierarchical
DBMS design in File system database of the underneath hierarchical file
organizational setup.
 |
|||
|
|||
Exercise-1.2; ANSWER TIP
– Navigation on Hierarchical Database records;
Conduct exercise to identify
navigation paths to retrieve information from;
a.
Parent to child level; The hierarchical
database of Example.1.3.1 characteristically holding child records in
adjacency, so the navigation from parent to child is finding the parent record
and from next these are the child records of same parent till another parent is
found or end of file.
b.
Child to parent level; The hierarchy is one
directional path from parent to child, child to parent is reverse adjacent
navigation till the parent is found
c.
Child to child level; It is combination of both
a) and b) above.
Exercise-1.3; ANSWER TIP
Diagram hierarchical
DBMS design in File system database of the organizational setup is similar to
the Answer Tip of Exercise-1.1.
Exercise-1.4;
Hierarchical Database Design
A game board has many clubs as members,
and each club has their members various players. Construct hierarchical DBMS
file system having information of tournament and their matches, matches
results, the team members, captain and vice captain. The navigation for the
following type of queries is essential;
e.
Matches, results and teams
f.
Matches scores of teams
g.
Highest and lowest teams
h.
Players penalty events
Game board has clubs, each club has
members, and teams are drawn from club members. Teams make scores in matches so
retrieval for highest and lowest scores. Players in matches earn penalty on
illegal events. These answer form the hierarchy, and suits to hierarchical
database design.
Exercise-1.5;
ANSWER TIP
Orders are placed of multiple items to
multiple suppliers each day.
Diagram network file DBMS design.
|
|
||||
 |
 |
Design
Two databases on above lines, a simple approach
Exercise1.6; ANSWER TIP
For
better understanding of Example 1.3.7 answer the following questions;
a.
List down each parent-child relationship
marking their occurrences form parent entity and corresponding child entity.
b.
An occurrence in child entity could have
instance, which does not exist in the relevant parent.
c.
How many maximum entries can occur in child
table where counts of parent entries is taken from Examples 1.3.7.
d.
In case a student takes a course whose faculty
is not known how that student course registration would be made effective,
discuss.
ANSWERS
TIPS
a. Specific Student fact of STUDENT table is
parent and same student fact of
REGISTERATION is child, and so on.
b.
NO.
c.
Entry count in STUDENT (multiply) entry count
in COURSE (multiply) entry count in FACULTY
d.
Not
Allowed.
Exercise 1.7; ANSWER TIPS
In Example 1.3.7 the
table REGISTRATION shown in Exercise 1.7 replaced the REGISTERATION as new
structure.
Argue whether
the Four tables STUDENT, FACULTY, COURSE, and REGISTRATION are demonstrating
data of relational events or not?
ANSWER
TIPS;
The new table REGISTRATION violates the
relational characteristics above noted, because of fields of CRSE-NAME and
FAC-NAME over there, are redundant.
END OF LESSON –1
No comments:
Post a Comment