SlideShare une entreprise Scribd logo
1  sur  43
Sayed Ahmed
Computer Engineering, BUET, Bangladesh
MSc, Computer Science, U of Manitoba, Canada
Owner/President/Architect/Developer
Justetc (Just et cetera) Technologies
http://www.justetc.net
http://sayed.justetc.net
sayed@justetc.net
Free Training by Justetc
 Training and Education in Bangla:
 http://Bangla.SaLearningSchool.com
 http://Blog. SaLearningSchool.com
 Training and Education in English:
 http://www.SaLearningSchool.com
 http://English.SaLearningSchool.com
 http://www.SitesTree.com
---------------------------------------------------------------------------------
 Ask questions and get answers
 http://Ask.JustEtc.net
---------------------------------------------------------------------------------
 Offline IT Training:
 http://University.JustEtc.net
Learning Objectives
 Concept of Database and Database
Management System
 Activities of a Database Management
System
 What is a Relational Database
Management System
 Features of Relational Database
Management System
Learning Objectives
 Create database
 Concept and explain the importance of
Data Security
 Data Encryption
 Importance
 Methods
 Querying Database: Query Language:
SQL
 Uses of Databases
What is a Database?
 Database means
 Data storage
 A good/organized/efficient way of storing data
 You can store all the information of a public
library/bank into a database
 How are information stored in computers?
 In files; you know it when you learn to use
computers
 Files are stored in computer hard drives, USB
sticks, memory cards
What is a Database
 Is there anything different of storing data
by a database
 Not much, databases also store data in files
 However, a database stores data in files in a
very organized way so that it becomes
easier to
○ Insert new data into the file/files
○ Easier to search, sort, and retrieve data from
those files
What is a Database
 Let’s see, you can store all information
of a bank in a single computer file
 All bank account information
 All employee information
 All account holder information
 All branch and department information
 You can keep them in a single file; but can
be very difficult to find something useful fast;
also inserting data and managing the file
can be difficult
What is a Database
 Now you can store all data in multiple files; just
divide the original file into multiple files;
○ Still if you do not organize the files or the data in them,
it can be very difficult to work with them
○ In a database, information are kept eventually in
computer files
 However, a database will use a good strategy on how to store
those data into files
 Databases will store the data in many files
 Will store in such a way so that it becomes easier to work with
the files and the data
 In real life, we have systems and software that knows about
the strategy and helps to deal with those files and data for
efficient storing, searching, retrieving, doing operations on the
data and store the result in the same database
- We call such systems and software to be the Database
Management System
What is a database
 One strategy
 Keep one type of data into one file
○ Such as in one file, store all bank account holders
personal information
○ In another file, keep the details of all the bank accounts
○ In another file, keep the association between these
accounts and account holders
○ If the number of records in a file is two many, divide the
files into multiple files but keeping the same type of
information; find a way to keep track which files are
related
○ Create some other files to keep track of which files
store what
○ Create some other files that can store the
location/address/position of a particular data in other
files [index file]
What is a Database Management
System
 If we have software that implements the
strategy described above, can be called a
DBMS
 When we feed data into it, if it can store the
data using that strategy and provides ways
to manipulate the data in an efficient way
 Then we can call this software to be a DBMS
 DBMSes usually display data in tabular format
(row/column - format)
Database and Database Management
Systems
 From Wikipedia, the free encyclopedia
 A database
 is an organized collection of data. The data are typically organized to
model relevant aspects of reality in a way that supports processes
requiring this information. For example, modeling the availability of
rooms in hotels in a way that supports finding a hotel with vacancies
 Database management systems (DBMSs)
 are specially designed applications that interact with the user, other
applications, and the database itself to capture and analyze data. A
general-purpose database management system (DBMS) is a software
system designed to allow the definition, creation, querying, update, and
administration of databases. Well-known DBMSs include MySQL,
PostgreSQL, SQLite, Microsoft SQL Server, Microsoft Access, Oracle,
SAP, dBASE, FoxPro, IBM DB2, LibreOffice Base and FileMaker Pro. A
database is not generally portable across different DBMS, but different
DBMSs can inter-operate by using standards such as SQL and ODBC or
JDBC to allow a single application to work with more than one database.
Activities provided by a
DBMS
 DBMS can create a database
 i.e. Create the initial structure of the database
 Allocate space and saves the database in the hard
drive
 Control who can use a database
 Take data from user and record and store it
somehow
 Organize data
 In meta files or in actual data files
 Provide means to search and display the data
 Provide security of the data
 Maintain the integrity of the data
Advantages of a DBMS
 Improved availability
 To different users, efficient retrieval of data
 Minimized redundancy
 Data are organized in a way so that the same
data are not stored in multiple places/files
 Accuracy
 Can keep data consistent as 1. redundancy
reduced and 2. data is available through one
interface (DBMS interface)
Advantages of a DBMS
 Program and file consistency
 Standardizes the storing of data; so
others can use it easily
 User-friendly
 Easier to deal with [usually provide
friendly interface]
 Improved security
 Control who can access the database
Relational Database Model
 Just a strategy to store and manipulate
data
 The strategy we talked about indirectly refers to
relational model
 Based on relational model
 What is a relational model?
○ it is a method of structuring data using relations,
which are grid-like/matrix-like mathematical
structures consisting of columns and rows
 Table is the physical manifestation of a relation in a
database
 So data are stored in tables (row/column wise) in
Relational Database Models
Relational Database Model
 It is composed of one or more tables [to
represent data]
 Tables also represent the
relations/associations of different related
data
 So here, we have tables of data
 Tables has columns called fields
 Tables are linked/related to other related
tables by common columns/fields
 Primary key/foreign key concept
Relational Model for A
Library
 Books: Book Information
 Id, title, published, price
 Authors: Author Information
 Id, name, SIN, address
 Members: member information
 Id, name, SIN, address, phone, email
 Book-Borrowers:
 Relation between books and members
 Bookid, memberid, date
Relational Model
Features of Relational
DBMS
 Provide easy ways to create tables
 Provide easy ways to create relations
among tables
 Provide ways to insert, update, search data
in a table or from multiple tables
 Provide ways to validate data at insertion
 Provides language such as SQL for data
insertion, update, and search
 Support multiple views of data
Features of Relational
DBMS
 It is easy to create application software
having relational database in the
backend
Usage of Relational DBMS
 Airlines reservation system
 Banking management system
 Online banking system
 Hospital operation management
systems
 Library management system
Creating Databases
 What does it involves?
 In DBMS, usually there is an option to create
database
 It may ask for initial size of the database
 How to increment the size of the database
 Character encoding of the database
 Model to use for creating the database
(relational, object oriented)
 Security/access control for the database
 Path to store the database files
 Then it will create the basic structure of the
database and store it in hard rive.
Creating Databases
 The basic element of database creation is
fields/columns
 You have to identify the different concepts/object
and relations among concepts [in the system]
 For each, concept/object, you have to identify
fields
 Then create tables for each of the concepts (and
for relations sometimes)
 For each table define the fields/columns
 Identify data types and length for each
column/field and specify it when creating tables
Data Types for Fields
 Numeric
 Byte
 Bit
 Int
 Long
 Double
 float
Data Types for Fields
 Text
 Text
 Char
 Varchar
 Date, DateTime
 Currency
Query Language: SQL
 Types
 Select
○ Selecting data by table fields
 Parameter
○ Query by filling information in dialog bixes
 Crosstab
○ Based on conditions
 Action
○ Delete, update, append
Sorting and Indexing
 Sorting
 Is to arrange/sort data
○ Low to high: Ascending
 1, 2, 3, 4..100
 A ant boy cat
○ High to low: descending
 100,99,98....1
 Cat boy ant a
Indexing
 Create an index (information about the
position) of the data
 Indexing is not actually sorting the data but
keeping track of the locations of the data
 Index can keep track of the data
 by ascending values or in descending values (of
the data)
 i.e. In index file there will be positions/addresses
of the data, the addresses will be kept in the
order of the values of the data
Indexing
 Data
 4
 2
 100
 50
 Index of the data in ascending value of
the data
 2, 1, 4, 3
Indexing
 Advantages
 Can help to find the data faster when index by
one field
 Increases the performance of different database
operations
 Disadvantages
 More ram used
 Data entry can take time for multiple field based
index
 When index with multiple fields, data editing can
take longer
Indexing vs Sorting
Relation Types
 Degree of relations
 Unary -1
 Binary – 2
 Ternary – 3
 Relation Types: among tables
(concepts/objects in the system)
 One to one
 One to Many or Many to One
 Many to Many
Use of Database for
Government
 E-government
 E-governance
 http://en.wikipedia.org/wiki/E-Governance
 E-Governance is the application of Information
and Communication Technology (ICT) for
delivering government services, exchange of
information communication transactions,
integration of various stand-alone systems and
services between Government-to-Citizens
(G2C), Government-to-
Business(G2B),Government-to-Government(
G2G) as well as back office processes and
interactions within the entire government frame
work.
E-government
 E-government
 http://en.wikipedia.org/wiki/E-Government
 E-Government (short for electronic government, also
known as e-gov, Internet government, digital
government, online government, or connected
government) is digital interactions between a government
and citizens (G2C), government and
businesses/Commerce (G2B), government and
employees (G2E), and also between government and
governments /agencies (G2G). Essentially, the e-
Government delivery models can be briefly summed up as
(Jeong, 2007):[1]
 G2C (Government to Citizens)
 G2B (Government to Businesses)
 G2E (Government to Employees)
 G2G (Government to Governments)
 C2G (Citizens to Governments)
Data Security
 Data is important for an organization or
government or a person
 Data should not be able to be accessed
by unauthorized person
 Data when stored in the office or when
transferred over the internet, it should
not be able to be accessed by
unauthorized person such as hackers,
or competitors
Methods to Provide Data
Security
 Restrict access to the computer
(password protect)
 Restrict access to the database
(password protect)
 Use firewalls so that outsiders cannot
access
 While sending data encrypt(unreadbale
format) data
Data Encryption
 Changing/converting the data to
unreadable format while transferring
 Usually using some methods/algorithms
data are encrypted.
 Some encryption methods use keys
 Encryption Ingredients
 Plaintext : text to be sent
 Ciphertext : encryted text
 Encryption algorithm : method to encrypt
 Key : used in encryption or decryption
Encryption Types
 Types
 Secret-key encryption
 Public-key encryption
 Secret-key encryption
 Same key used for encryption and decryption
 Both sender and receiver know the key
 Public-key encryption
 Sender: one key to encrypt : private to sender
 Receiver: another key to decrypt : private to
receiver
 One more key, known to both
Encryption Methods/Algorithms
 Caesar code
 DES
 IDEA
 RSA
Further Study
 Encryption
 http://www.salearningschool.com/searchResult.php?
queryStr=encryption&submit=Search+Database
 Encryption example
○ http://www.salearningschool.com/displayArticle.php?tab
le=Articles&articleID=1355
 Encryption algorithms
 http://www.cse-cst.gc.ca/its-sti/services/crypto-
services-crypto/ca-ac-eng.html
 Choosing encryption methods for SQL Server
 http://technet.microsoft.com/en-
us/library/ms345262.aspx
Our Addresses
 Trudelle Street, Toronto, Canada
 sayed@justetc.com
 Shimultuly, Gazipur, Bangladesh
 Justetc Computers
 Habib Complex, 2nd Floor
 rafik@justetc.com (01942747702)
References
 DBMS Theory
 http://www.salearningschool.com/index.php?table=Articles
&categoryID=6&category=DBMS%20Theory
 Database Systems
 http://www.salearningschool.com/index.php?table=Articles
&categoryID=2&category=Database%20Systems
 MySQL DBMS
 http://www.salearningschool.com/searchResult.php?query
Str=mysql&submit=Search+Database
 Indexing vs Sorting
 http://docs.acl.com/acl/920/index.jsp?topic=/com.acl.user_
guide.help/data_analysis/c_sorting_versus_indexing.html
Have fun
Guys!!!

Contenu connexe

Tendances

Introduction to Database Concepts
Introduction to Database ConceptsIntroduction to Database Concepts
Introduction to Database Concepts
Rosalyn Lemieux
 
Key database terms
Key database termsKey database terms
Key database terms
listergc
 
DISE - Database Concepts
DISE - Database ConceptsDISE - Database Concepts
DISE - Database Concepts
Rasan Samarasinghe
 

Tendances (19)

6.2 software
6.2 software6.2 software
6.2 software
 
11 Database Concepts
11 Database Concepts11 Database Concepts
11 Database Concepts
 
Database overview
Database overviewDatabase overview
Database overview
 
Database an introduction
Database an introductionDatabase an introduction
Database an introduction
 
Introduction to Database Concepts
Introduction to Database ConceptsIntroduction to Database Concepts
Introduction to Database Concepts
 
Database concepts
Database conceptsDatabase concepts
Database concepts
 
DBMS
DBMSDBMS
DBMS
 
Chapter 6 Database SC025 2017/2018
Chapter 6 Database SC025 2017/2018Chapter 6 Database SC025 2017/2018
Chapter 6 Database SC025 2017/2018
 
DBMS Bascis
DBMS BascisDBMS Bascis
DBMS Bascis
 
Basic Concept of Database
Basic Concept of DatabaseBasic Concept of Database
Basic Concept of Database
 
Relational Database Design
Relational Database DesignRelational Database Design
Relational Database Design
 
Key database terms
Key database termsKey database terms
Key database terms
 
Rdbms
RdbmsRdbms
Rdbms
 
Week 4 The Relational Data Model & The Entity Relationship Data Model
Week 4 The Relational Data Model & The Entity Relationship Data ModelWeek 4 The Relational Data Model & The Entity Relationship Data Model
Week 4 The Relational Data Model & The Entity Relationship Data Model
 
Week 1 Before the Advent of Database Systems & Fundamental Concepts
Week 1 Before the Advent of Database Systems & Fundamental ConceptsWeek 1 Before the Advent of Database Systems & Fundamental Concepts
Week 1 Before the Advent of Database Systems & Fundamental Concepts
 
overview of database concept
overview of database conceptoverview of database concept
overview of database concept
 
Data resource management
Data resource managementData resource management
Data resource management
 
Se 381 - lec 21 - 23 - 12 may09 - df-ds and data dictionary
Se 381 - lec 21 - 23 - 12 may09 - df-ds and data dictionarySe 381 - lec 21 - 23 - 12 may09 - df-ds and data dictionary
Se 381 - lec 21 - 23 - 12 may09 - df-ds and data dictionary
 
DISE - Database Concepts
DISE - Database ConceptsDISE - Database Concepts
DISE - Database Concepts
 

En vedette

Lecture 10 distributed database management system
Lecture 10   distributed database management systemLecture 10   distributed database management system
Lecture 10 distributed database management system
emailharmeet
 
Data base management system
Data base management systemData base management system
Data base management system
Navneet Jingar
 
Database Management Systems (DBMS)
Database Management Systems (DBMS)Database Management Systems (DBMS)
Database Management Systems (DBMS)
Dimara Hakim
 
Student database management system
Student database management systemStudent database management system
Student database management system
Snehal Raut
 
Database management system presentation
Database management system presentationDatabase management system presentation
Database management system presentation
sameerraaj
 

En vedette (20)

Database management system
Database management systemDatabase management system
Database management system
 
Database Management Systems 2
Database Management Systems 2Database Management Systems 2
Database Management Systems 2
 
Fundamentals of GIS and Database Management for Disaster Management
Fundamentals of GIS and Database Management for Disaster ManagementFundamentals of GIS and Database Management for Disaster Management
Fundamentals of GIS and Database Management for Disaster Management
 
Database Management System
Database Management SystemDatabase Management System
Database Management System
 
Tutorial On Database Management System
Tutorial On Database Management SystemTutorial On Database Management System
Tutorial On Database Management System
 
Presentation on Database management system
Presentation on Database management systemPresentation on Database management system
Presentation on Database management system
 
Database Management System
Database Management SystemDatabase Management System
Database Management System
 
Lecture 10 distributed database management system
Lecture 10   distributed database management systemLecture 10   distributed database management system
Lecture 10 distributed database management system
 
Relational Database Management System
Relational Database Management SystemRelational Database Management System
Relational Database Management System
 
Dbms
DbmsDbms
Dbms
 
Data base management system
Data base management systemData base management system
Data base management system
 
Database Management Systems (DBMS)
Database Management Systems (DBMS)Database Management Systems (DBMS)
Database Management Systems (DBMS)
 
Student database management system
Student database management systemStudent database management system
Student database management system
 
Basic DBMS ppt
Basic DBMS pptBasic DBMS ppt
Basic DBMS ppt
 
Data Base Management System
Data Base Management SystemData Base Management System
Data Base Management System
 
Database management system
Database management systemDatabase management system
Database management system
 
Database management system presentation
Database management system presentationDatabase management system presentation
Database management system presentation
 
Database management systems cs403 power point slides lecture 04
Database management systems   cs403 power point slides lecture 04Database management systems   cs403 power point slides lecture 04
Database management systems cs403 power point slides lecture 04
 
Database management systems cs403 power point slides lecture 05
Database management systems   cs403 power point slides lecture 05Database management systems   cs403 power point slides lecture 05
Database management systems cs403 power point slides lecture 05
 
Database management systems cs403 power point slides lecture 02
Database management systems   cs403 power point slides lecture 02Database management systems   cs403 power point slides lecture 02
Database management systems cs403 power point slides lecture 02
 

Similaire à English database management_system

D I T211 Chapter 1
D I T211    Chapter 1D I T211    Chapter 1
D I T211 Chapter 1
askme
 
D I T211 Chapter 1 1
D I T211    Chapter 1 1D I T211    Chapter 1 1
D I T211 Chapter 1 1
askme
 
Introduction to Database (Lecture 1).ppt
Introduction to Database (Lecture 1).pptIntroduction to Database (Lecture 1).ppt
Introduction to Database (Lecture 1).ppt
RuelDogma1
 

Similaire à English database management_system (20)

Database management system
Database management systemDatabase management system
Database management system
 
W 8 introduction to database
W 8  introduction to databaseW 8  introduction to database
W 8 introduction to database
 
Introduction to database with ms access.hetvii
Introduction to database with ms access.hetviiIntroduction to database with ms access.hetvii
Introduction to database with ms access.hetvii
 
Introduction to database with ms access(DBMS)
Introduction to database with ms access(DBMS)Introduction to database with ms access(DBMS)
Introduction to database with ms access(DBMS)
 
Database
DatabaseDatabase
Database
 
Ch-1-Introduction-to-Database.pdf
Ch-1-Introduction-to-Database.pdfCh-1-Introduction-to-Database.pdf
Ch-1-Introduction-to-Database.pdf
 
Database Management System
Database Management SystemDatabase Management System
Database Management System
 
Database Management System Part-1.pptx
Database Management System Part-1.pptxDatabase Management System Part-1.pptx
Database Management System Part-1.pptx
 
Database management system
Database management systemDatabase management system
Database management system
 
Database, Lecture-1.ppt
Database, Lecture-1.pptDatabase, Lecture-1.ppt
Database, Lecture-1.ppt
 
DBMS Database Management System
DBMS Database Management SystemDBMS Database Management System
DBMS Database Management System
 
DATA RESOURCE MANAGEMENT
DATA RESOURCE MANAGEMENT DATA RESOURCE MANAGEMENT
DATA RESOURCE MANAGEMENT
 
D I T211 Chapter 1
D I T211    Chapter 1D I T211    Chapter 1
D I T211 Chapter 1
 
D I T211 Chapter 1 1
D I T211    Chapter 1 1D I T211    Chapter 1 1
D I T211 Chapter 1 1
 
Relational database management systems
Relational database management systemsRelational database management systems
Relational database management systems
 
Database
DatabaseDatabase
Database
 
Dbms notes
Dbms notesDbms notes
Dbms notes
 
Database concepts
Database conceptsDatabase concepts
Database concepts
 
Dbms mca-section a
Dbms mca-section aDbms mca-section a
Dbms mca-section a
 
Introduction to Database (Lecture 1).ppt
Introduction to Database (Lecture 1).pptIntroduction to Database (Lecture 1).ppt
Introduction to Database (Lecture 1).ppt
 

Plus de Sayed Ahmed

Plus de Sayed Ahmed (20)

Workplace, Data Analytics, and Ethics
Workplace, Data Analytics, and EthicsWorkplace, Data Analytics, and Ethics
Workplace, Data Analytics, and Ethics
 
Python py charm anaconda jupyter installation and basic commands
Python py charm anaconda jupyter   installation and basic commandsPython py charm anaconda jupyter   installation and basic commands
Python py charm anaconda jupyter installation and basic commands
 
[not edited] Demo on mobile app development using ionic framework
[not edited] Demo on mobile app development using ionic framework[not edited] Demo on mobile app development using ionic framework
[not edited] Demo on mobile app development using ionic framework
 
Sap hana-ide-overview-nodev
Sap hana-ide-overview-nodevSap hana-ide-overview-nodev
Sap hana-ide-overview-nodev
 
Invest wisely
Invest wiselyInvest wisely
Invest wisely
 
Will be an introduction to
Will be an introduction toWill be an introduction to
Will be an introduction to
 
Whm and cpanel overview hosting control panel overview
Whm and cpanel overview   hosting control panel overviewWhm and cpanel overview   hosting control panel overview
Whm and cpanel overview hosting control panel overview
 
Web application development using zend framework
Web application development using zend frameworkWeb application development using zend framework
Web application development using zend framework
 
Web design and_html_part_3
Web design and_html_part_3Web design and_html_part_3
Web design and_html_part_3
 
Web design and_html_part_2
Web design and_html_part_2Web design and_html_part_2
Web design and_html_part_2
 
Web design and_html
Web design and_htmlWeb design and_html
Web design and_html
 
Visual studio ide shortcuts
Visual studio ide shortcutsVisual studio ide shortcuts
Visual studio ide shortcuts
 
Virtualization
VirtualizationVirtualization
Virtualization
 
User interfaces
User interfacesUser interfaces
User interfaces
 
Unreal
UnrealUnreal
Unreal
 
Unit tests in_symfony
Unit tests in_symfonyUnit tests in_symfony
Unit tests in_symfony
 
Telerik this is sayed
Telerik this is sayedTelerik this is sayed
Telerik this is sayed
 
System analysis and_design
System analysis and_designSystem analysis and_design
System analysis and_design
 
Symfony 2
Symfony 2Symfony 2
Symfony 2
 
Story telling and_narrative
Story telling and_narrativeStory telling and_narrative
Story telling and_narrative
 

Dernier

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
+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@
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Dernier (20)

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
+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...
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
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
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 

English database management_system

  • 1. Sayed Ahmed Computer Engineering, BUET, Bangladesh MSc, Computer Science, U of Manitoba, Canada Owner/President/Architect/Developer Justetc (Just et cetera) Technologies http://www.justetc.net http://sayed.justetc.net sayed@justetc.net
  • 2. Free Training by Justetc  Training and Education in Bangla:  http://Bangla.SaLearningSchool.com  http://Blog. SaLearningSchool.com  Training and Education in English:  http://www.SaLearningSchool.com  http://English.SaLearningSchool.com  http://www.SitesTree.com ---------------------------------------------------------------------------------  Ask questions and get answers  http://Ask.JustEtc.net ---------------------------------------------------------------------------------  Offline IT Training:  http://University.JustEtc.net
  • 3. Learning Objectives  Concept of Database and Database Management System  Activities of a Database Management System  What is a Relational Database Management System  Features of Relational Database Management System
  • 4. Learning Objectives  Create database  Concept and explain the importance of Data Security  Data Encryption  Importance  Methods  Querying Database: Query Language: SQL  Uses of Databases
  • 5. What is a Database?  Database means  Data storage  A good/organized/efficient way of storing data  You can store all the information of a public library/bank into a database  How are information stored in computers?  In files; you know it when you learn to use computers  Files are stored in computer hard drives, USB sticks, memory cards
  • 6. What is a Database  Is there anything different of storing data by a database  Not much, databases also store data in files  However, a database stores data in files in a very organized way so that it becomes easier to ○ Insert new data into the file/files ○ Easier to search, sort, and retrieve data from those files
  • 7. What is a Database  Let’s see, you can store all information of a bank in a single computer file  All bank account information  All employee information  All account holder information  All branch and department information  You can keep them in a single file; but can be very difficult to find something useful fast; also inserting data and managing the file can be difficult
  • 8. What is a Database  Now you can store all data in multiple files; just divide the original file into multiple files; ○ Still if you do not organize the files or the data in them, it can be very difficult to work with them ○ In a database, information are kept eventually in computer files  However, a database will use a good strategy on how to store those data into files  Databases will store the data in many files  Will store in such a way so that it becomes easier to work with the files and the data  In real life, we have systems and software that knows about the strategy and helps to deal with those files and data for efficient storing, searching, retrieving, doing operations on the data and store the result in the same database - We call such systems and software to be the Database Management System
  • 9. What is a database  One strategy  Keep one type of data into one file ○ Such as in one file, store all bank account holders personal information ○ In another file, keep the details of all the bank accounts ○ In another file, keep the association between these accounts and account holders ○ If the number of records in a file is two many, divide the files into multiple files but keeping the same type of information; find a way to keep track which files are related ○ Create some other files to keep track of which files store what ○ Create some other files that can store the location/address/position of a particular data in other files [index file]
  • 10. What is a Database Management System  If we have software that implements the strategy described above, can be called a DBMS  When we feed data into it, if it can store the data using that strategy and provides ways to manipulate the data in an efficient way  Then we can call this software to be a DBMS  DBMSes usually display data in tabular format (row/column - format)
  • 11. Database and Database Management Systems  From Wikipedia, the free encyclopedia  A database  is an organized collection of data. The data are typically organized to model relevant aspects of reality in a way that supports processes requiring this information. For example, modeling the availability of rooms in hotels in a way that supports finding a hotel with vacancies  Database management systems (DBMSs)  are specially designed applications that interact with the user, other applications, and the database itself to capture and analyze data. A general-purpose database management system (DBMS) is a software system designed to allow the definition, creation, querying, update, and administration of databases. Well-known DBMSs include MySQL, PostgreSQL, SQLite, Microsoft SQL Server, Microsoft Access, Oracle, SAP, dBASE, FoxPro, IBM DB2, LibreOffice Base and FileMaker Pro. A database is not generally portable across different DBMS, but different DBMSs can inter-operate by using standards such as SQL and ODBC or JDBC to allow a single application to work with more than one database.
  • 12. Activities provided by a DBMS  DBMS can create a database  i.e. Create the initial structure of the database  Allocate space and saves the database in the hard drive  Control who can use a database  Take data from user and record and store it somehow  Organize data  In meta files or in actual data files  Provide means to search and display the data  Provide security of the data  Maintain the integrity of the data
  • 13. Advantages of a DBMS  Improved availability  To different users, efficient retrieval of data  Minimized redundancy  Data are organized in a way so that the same data are not stored in multiple places/files  Accuracy  Can keep data consistent as 1. redundancy reduced and 2. data is available through one interface (DBMS interface)
  • 14. Advantages of a DBMS  Program and file consistency  Standardizes the storing of data; so others can use it easily  User-friendly  Easier to deal with [usually provide friendly interface]  Improved security  Control who can access the database
  • 15. Relational Database Model  Just a strategy to store and manipulate data  The strategy we talked about indirectly refers to relational model  Based on relational model  What is a relational model? ○ it is a method of structuring data using relations, which are grid-like/matrix-like mathematical structures consisting of columns and rows  Table is the physical manifestation of a relation in a database  So data are stored in tables (row/column wise) in Relational Database Models
  • 16. Relational Database Model  It is composed of one or more tables [to represent data]  Tables also represent the relations/associations of different related data  So here, we have tables of data  Tables has columns called fields  Tables are linked/related to other related tables by common columns/fields  Primary key/foreign key concept
  • 17. Relational Model for A Library  Books: Book Information  Id, title, published, price  Authors: Author Information  Id, name, SIN, address  Members: member information  Id, name, SIN, address, phone, email  Book-Borrowers:  Relation between books and members  Bookid, memberid, date
  • 19. Features of Relational DBMS  Provide easy ways to create tables  Provide easy ways to create relations among tables  Provide ways to insert, update, search data in a table or from multiple tables  Provide ways to validate data at insertion  Provides language such as SQL for data insertion, update, and search  Support multiple views of data
  • 20. Features of Relational DBMS  It is easy to create application software having relational database in the backend
  • 21. Usage of Relational DBMS  Airlines reservation system  Banking management system  Online banking system  Hospital operation management systems  Library management system
  • 22. Creating Databases  What does it involves?  In DBMS, usually there is an option to create database  It may ask for initial size of the database  How to increment the size of the database  Character encoding of the database  Model to use for creating the database (relational, object oriented)  Security/access control for the database  Path to store the database files  Then it will create the basic structure of the database and store it in hard rive.
  • 23. Creating Databases  The basic element of database creation is fields/columns  You have to identify the different concepts/object and relations among concepts [in the system]  For each, concept/object, you have to identify fields  Then create tables for each of the concepts (and for relations sometimes)  For each table define the fields/columns  Identify data types and length for each column/field and specify it when creating tables
  • 24. Data Types for Fields  Numeric  Byte  Bit  Int  Long  Double  float
  • 25. Data Types for Fields  Text  Text  Char  Varchar  Date, DateTime  Currency
  • 26. Query Language: SQL  Types  Select ○ Selecting data by table fields  Parameter ○ Query by filling information in dialog bixes  Crosstab ○ Based on conditions  Action ○ Delete, update, append
  • 27. Sorting and Indexing  Sorting  Is to arrange/sort data ○ Low to high: Ascending  1, 2, 3, 4..100  A ant boy cat ○ High to low: descending  100,99,98....1  Cat boy ant a
  • 28. Indexing  Create an index (information about the position) of the data  Indexing is not actually sorting the data but keeping track of the locations of the data  Index can keep track of the data  by ascending values or in descending values (of the data)  i.e. In index file there will be positions/addresses of the data, the addresses will be kept in the order of the values of the data
  • 29. Indexing  Data  4  2  100  50  Index of the data in ascending value of the data  2, 1, 4, 3
  • 30. Indexing  Advantages  Can help to find the data faster when index by one field  Increases the performance of different database operations  Disadvantages  More ram used  Data entry can take time for multiple field based index  When index with multiple fields, data editing can take longer
  • 32. Relation Types  Degree of relations  Unary -1  Binary – 2  Ternary – 3  Relation Types: among tables (concepts/objects in the system)  One to one  One to Many or Many to One  Many to Many
  • 33. Use of Database for Government  E-government  E-governance  http://en.wikipedia.org/wiki/E-Governance  E-Governance is the application of Information and Communication Technology (ICT) for delivering government services, exchange of information communication transactions, integration of various stand-alone systems and services between Government-to-Citizens (G2C), Government-to- Business(G2B),Government-to-Government( G2G) as well as back office processes and interactions within the entire government frame work.
  • 34. E-government  E-government  http://en.wikipedia.org/wiki/E-Government  E-Government (short for electronic government, also known as e-gov, Internet government, digital government, online government, or connected government) is digital interactions between a government and citizens (G2C), government and businesses/Commerce (G2B), government and employees (G2E), and also between government and governments /agencies (G2G). Essentially, the e- Government delivery models can be briefly summed up as (Jeong, 2007):[1]  G2C (Government to Citizens)  G2B (Government to Businesses)  G2E (Government to Employees)  G2G (Government to Governments)  C2G (Citizens to Governments)
  • 35. Data Security  Data is important for an organization or government or a person  Data should not be able to be accessed by unauthorized person  Data when stored in the office or when transferred over the internet, it should not be able to be accessed by unauthorized person such as hackers, or competitors
  • 36. Methods to Provide Data Security  Restrict access to the computer (password protect)  Restrict access to the database (password protect)  Use firewalls so that outsiders cannot access  While sending data encrypt(unreadbale format) data
  • 37. Data Encryption  Changing/converting the data to unreadable format while transferring  Usually using some methods/algorithms data are encrypted.  Some encryption methods use keys  Encryption Ingredients  Plaintext : text to be sent  Ciphertext : encryted text  Encryption algorithm : method to encrypt  Key : used in encryption or decryption
  • 38. Encryption Types  Types  Secret-key encryption  Public-key encryption  Secret-key encryption  Same key used for encryption and decryption  Both sender and receiver know the key  Public-key encryption  Sender: one key to encrypt : private to sender  Receiver: another key to decrypt : private to receiver  One more key, known to both
  • 39. Encryption Methods/Algorithms  Caesar code  DES  IDEA  RSA
  • 40. Further Study  Encryption  http://www.salearningschool.com/searchResult.php? queryStr=encryption&submit=Search+Database  Encryption example ○ http://www.salearningschool.com/displayArticle.php?tab le=Articles&articleID=1355  Encryption algorithms  http://www.cse-cst.gc.ca/its-sti/services/crypto- services-crypto/ca-ac-eng.html  Choosing encryption methods for SQL Server  http://technet.microsoft.com/en- us/library/ms345262.aspx
  • 41. Our Addresses  Trudelle Street, Toronto, Canada  sayed@justetc.com  Shimultuly, Gazipur, Bangladesh  Justetc Computers  Habib Complex, 2nd Floor  rafik@justetc.com (01942747702)
  • 42. References  DBMS Theory  http://www.salearningschool.com/index.php?table=Articles &categoryID=6&category=DBMS%20Theory  Database Systems  http://www.salearningschool.com/index.php?table=Articles &categoryID=2&category=Database%20Systems  MySQL DBMS  http://www.salearningschool.com/searchResult.php?query Str=mysql&submit=Search+Database  Indexing vs Sorting  http://docs.acl.com/acl/920/index.jsp?topic=/com.acl.user_ guide.help/data_analysis/c_sorting_versus_indexing.html