SlideShare a Scribd company logo
1 of 16
TOPIC NAME:
COMPARATIVE ANALYSIS OF DATABASE SYSTEMS
COMPARATIVE ANALYSIS OF DATABASE
SYSTEMS:
• TO DISCUSS THE LEGACY OF DATABASE, FIRST LEARN THE CONCEPT OF
DATABASE THAT WHAT IS DATABASE?
• ` WHY WE USE IT?
• WHAT IS THE ADVANTAGE OF USING IT?
COMPARATIVE ANALYSIS OF DATABASE
SYSTEMS:
• SO THE DATABASE IS JUST LIKE YOUR DIARY WHERE YOU CAN TYPE YOUR DATA,
SAVE YOUR DATA, ARRANGE IT AND WHENEVER YOU NEED IT YOU CAN GET ANY
KIND OF INFORMATION (STORED IN THE DOCUMENT) INFORMATION FROM IT.
FOR EXAMPLE:
YOUR MOBILE PHONE ARE ALSO JUST LIKE A DATABASE.
COMPARATIVE ANALYSIS OF DATABASE
SYSTEMS:
• NOW UNDERSTAND WHY WE USE IT?
• WHAT ARE THE REASONS BEHIND IT THAT WE USE IT?
• WE USE THE DATABASE BECAUSE IT IS THE WAY TO SAVE, UPDATE AND RETRIEVE
THE DATA AUTOMATICALLY.
• AS THE WORLD IS NOW BECOME GLOBAL VILLAGE THEREFORE USE OF DATABASE
IS VERY COMMON.
ADVANTAGES:
FOLLOWING ARE THE ADVANTAGES OF USING DATABASE:
• IT IS THE EASIEST WAY OF STORING DATA.
• THE DATA CAN BE USE FURTHER IN FUTURE.
• IT SAVES THE TIME.
DATABASE TYPES:
THERE ARE THREE TYPES OF DATABASE SYSTEMS:
• FLAT FILES DATABASE
• HIERARCHY DATABASE
• NETWORK DATABASE
FLAT FILES DATABASE:
• IN THIS TYPE OF DATABASE, DATA IS STORED IN THE FORM OF HORIZONTAL
ROWS.
• THE HORIZONTAL RECORDS SHOW A RECORD.
• EACH RECORD HAS A SPECIFIC DATA.
• THIS TYPE OF DATABASE IS GENERALLY USED IN GROCERY STORES.
• THE DISADVANTAGE OF USING THIS TYPE OF DATABASE IS THAT IN WHICH THE
DATA IS STORED WITH THE SAME AND WHEN YOU RETRIEVE THE INFORMATION,
IT IS DIFFICULT FOR COMPUTER TO FIND OUT THE EXACT DATA AND THERE IS A
POSSIBILITY THAT A ERROR MAY OCCUR.
FLAT FILES DATABASE:
• LET’S CONSIDER AN EXAMPLE:
IT IS THE DATA OF A GROCERY STORE. IN THIS DATABASE IT INCLUDES A NAME,
PRODUCT, QUANTITY, PRICE AND THE TOTAL OF EACH CUSTOMER.
• THIS DATABASE CAN ALSO BE CREATED IN MS-EXCEL.
Name Product Quantity Price Total Bill
ABC Fan 2 150 150*2=300
XYZ Pen 5 10 10*5=50
MNO Rubber 10 5 5*10=50
HIERARCHY DATABASE:
• DUE THE DISADVANTAGES OF THE FLAT FILE DATABASE SYSTEMS, HIERARCHY
DATABASE SYSTEM IS USED.
• IN THIS TYPE OF DATABASE SYSTEMS, THE DATA IS STORED IN THE
ORGANIZATIONAL TREE.
• IT IS INTRODUCED IN 1968.
• IN THIS TYPE OF RELATIONSHIP, THERE IS ONLY ONE PARENT AND THE PARENT HAVE
MORE THAN ONE CHILD.
• THERE ARE MANY CHILDREN OF ONLY PARENT.
• THE HIERARCHICAL DATABASES HANDLE ONE-TO-MANY RELATIONSHIP VERY WELL.
HIERARCHY DATABASE:
• CONSIDER THE PREVIOUS EXAMPLE OF A GROCERY STORE THAT HOW IT WORKS
ON A HIERARCHY DATABASE SYSTEMS. IN THIS SYSTEM THE DATA IS RETRIEVED
THROUGH THE FOLLOWING FORMAT:
HIERARCHY DATABASE:
• THE HIERARCHICAL DATABASES HANDLE ONE-TO-MANY RELATIONSHIP VERY
WELL.
NETWORK DATABASES:
• THE PROBLEM IN THE HIERARCHICAL DATABASE MODEL IS REMOVED IN THIS
MODEL.
• IT WAS PUBLISHED IN 1971 BY A PROGRAMMING LANGUAGE COBOL.
• IT WORKS SAME TO A HIERARCHICAL DATABASE SYSTEMS.
• IT WORKS ON MANY TO MANY RELATIONSHIPS, INSTEAD OF ONE TO MANY
RELATIONSHIPS IN THE HIERARCHY DATABASE SYSTEM.
• IN ONE TO MANY RELATIONSHIPS, THERE MUST BE A PARENT OF EACH CHILD.
• BUT IN MANY TO MANY RELATIONSHIPS, THERE ARE MANY CHILDREN OF A
PARENT AND MANY PARENT OF EACH CHILD.
NETWORK DATABASES:
• IT ALSO HAVE A SAME FORMAT TO A HIERARCHICAL DATABASE SYSTEM.
• BUT IN THIS THE BRANCHES OF THE TREE ARE SHARED.
• TO RETRIEVE ANY INFORMATION ANY INFORMATION OF THE CUSTOMER AND
THE PRODUCT START WITH THE SAME TO A ORDER HEADER.
• THERE IS ALSO A DISADVANTAGE OF BOTH THE HIERARCHY AND THE NETWORK
DATABASE SYSTEM. BOTH ARE PROGRAMMER’S DOMAIN. IN BOTH OF THEM,
CREATION OF DATA STRUCTURE IS MUST AND THEN IT WILL CREATE AN
OUTPUT. PROGRAMS WERE NOT PORTABLE AND TOOK ENORMOUS AMOUNT OF
TIME TO WRITE.
NETWORK DATABASES:
NETWORK DATABASES:
• THERE IS ALSO A DISADVANTAGE OF BOTH THE HIERARCHY AND THE NETWORK
DATABASE SYSTEM.
• BOTH ARE PROGRAMMER’S DOMAIN. IN BOTH OF THEM, CREATION OF DATA
STRUCTURE IS MUST AND THEN IT WILL CREATE AN OUTPUT.
• PROGRAMS WERE NOT PORTABLE AND TOOK ENORMOUS AMOUNT OF TIME TO
WRITE.
THANK YOU 
----------------
ANY QUESTION??????

More Related Content

What's hot

STG301_Deep Dive on Amazon S3 and Glacier Architecture
STG301_Deep Dive on Amazon S3 and Glacier ArchitectureSTG301_Deep Dive on Amazon S3 and Glacier Architecture
STG301_Deep Dive on Amazon S3 and Glacier ArchitectureAmazon Web Services
 
The AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewThe AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewAmazon Web Services
 
Database Security, Threats & Countermeasures.pptx
Database Security, Threats & Countermeasures.pptxDatabase Security, Threats & Countermeasures.pptx
Database Security, Threats & Countermeasures.pptxSaqibAhmedKhan4
 
What is Cloud computing?
What is Cloud computing?What is Cloud computing?
What is Cloud computing?Richard Harvey
 
Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...
Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...
Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...Amazon Web Services
 
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...Edureka!
 
Presentation1VMware EsxI Short Presentation
Presentation1VMware EsxI Short PresentationPresentation1VMware EsxI Short Presentation
Presentation1VMware EsxI Short PresentationBarcamp Cork
 
Database management system
Database management system   Database management system
Database management system 9535814851
 
分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)
分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)
分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)NTT DATA Technology & Innovation
 
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMRAmazon Web Services
 
Microsoft azure backup overview
Microsoft azure backup overviewMicrosoft azure backup overview
Microsoft azure backup overviewSumantro Mukherjee
 
Microsoft Azure Platform-as-a-Service (PaaS)
Microsoft Azure Platform-as-a-Service (PaaS)Microsoft Azure Platform-as-a-Service (PaaS)
Microsoft Azure Platform-as-a-Service (PaaS)Chris Dufour
 
VMware Workstation
VMware WorkstationVMware Workstation
VMware WorkstationBoni Yeamin
 
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016Amazon Web Services
 
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...Amazon Web Services
 

What's hot (20)

Vmware ppt
Vmware pptVmware ppt
Vmware ppt
 
STG301_Deep Dive on Amazon S3 and Glacier Architecture
STG301_Deep Dive on Amazon S3 and Glacier ArchitectureSTG301_Deep Dive on Amazon S3 and Glacier Architecture
STG301_Deep Dive on Amazon S3 and Glacier Architecture
 
Azure Backup Simplifies
Azure Backup SimplifiesAzure Backup Simplifies
Azure Backup Simplifies
 
Basic DBMS ppt
Basic DBMS pptBasic DBMS ppt
Basic DBMS ppt
 
The AWS Big Data Platform – Overview
The AWS Big Data Platform – OverviewThe AWS Big Data Platform – Overview
The AWS Big Data Platform – Overview
 
Database Security, Threats & Countermeasures.pptx
Database Security, Threats & Countermeasures.pptxDatabase Security, Threats & Countermeasures.pptx
Database Security, Threats & Countermeasures.pptx
 
What is Cloud computing?
What is Cloud computing?What is Cloud computing?
What is Cloud computing?
 
Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...
Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...
Amazon Elastic File System (EFS): New Elastic File Storage Service That Makes...
 
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
Power BI Interview Questions and Answers | Power BI Certification | Power BI ...
 
Presentation1VMware EsxI Short Presentation
Presentation1VMware EsxI Short PresentationPresentation1VMware EsxI Short Presentation
Presentation1VMware EsxI Short Presentation
 
Database management system
Database management system   Database management system
Database management system
 
分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)
分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)
分析指向データレイク実現の次の一手 ~Delta Lake、なにそれおいしいの?~(NTTデータ テクノロジーカンファレンス 2020 発表資料)
 
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR
(BDT309) Data Science & Best Practices for Apache Spark on Amazon EMR
 
Microsoft azure backup overview
Microsoft azure backup overviewMicrosoft azure backup overview
Microsoft azure backup overview
 
Microsoft Azure Platform-as-a-Service (PaaS)
Microsoft Azure Platform-as-a-Service (PaaS)Microsoft Azure Platform-as-a-Service (PaaS)
Microsoft Azure Platform-as-a-Service (PaaS)
 
VMware Workstation
VMware WorkstationVMware Workstation
VMware Workstation
 
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016
Amazon RDS with Amazon Aurora | AWS Public Sector Summit 2016
 
Fsmo roles
Fsmo rolesFsmo roles
Fsmo roles
 
Building your Datalake on AWS
Building your Datalake on AWSBuilding your Datalake on AWS
Building your Datalake on AWS
 
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...
One Data Lake, Many Uses: Enabling Multi-Tenant Analytics with Amazon EMR (AN...
 

Similar to Comparative Analysis of Database Systems

Bioinformatics&Databases.ppt
Bioinformatics&Databases.pptBioinformatics&Databases.ppt
Bioinformatics&Databases.pptBlackHunt1
 
Big Data + Sentiment Analysis = Awesome
Big Data + Sentiment Analysis = AwesomeBig Data + Sentiment Analysis = Awesome
Big Data + Sentiment Analysis = AwesomeAdel Rahimi
 
traffic sign detection using deep learning.pptx
traffic sign detection using deep learning.pptxtraffic sign detection using deep learning.pptx
traffic sign detection using deep learning.pptxbrijeshbs2
 
Nosql-Module 1 PPT.pptx
Nosql-Module 1 PPT.pptxNosql-Module 1 PPT.pptx
Nosql-Module 1 PPT.pptxRadhika R
 
History of database processing module 1 (2)
History of database processing module 1 (2)History of database processing module 1 (2)
History of database processing module 1 (2)chottu89
 
Deploying Big Data Platforms
Deploying Big Data PlatformsDeploying Big Data Platforms
Deploying Big Data PlatformsChris Kernaghan
 
ITI015En-The evolution of databases (I)
ITI015En-The evolution of databases (I)ITI015En-The evolution of databases (I)
ITI015En-The evolution of databases (I)Huibert Aalbers
 
Data for Action Talk - 2016-02-22
Data for Action Talk - 2016-02-22Data for Action Talk - 2016-02-22
Data for Action Talk - 2016-02-22David E Drummond
 
Lec20.pptx introduction to data bases and information systems
Lec20.pptx introduction to data bases and information systemsLec20.pptx introduction to data bases and information systems
Lec20.pptx introduction to data bases and information systemssamiullahamjad06
 
[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReaders
[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReaders[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReaders
[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReadersRakuten Group, Inc.
 
Database Management Systems 1
Database Management Systems 1Database Management Systems 1
Database Management Systems 1Nickkisha Farrell
 
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017AWS Chicago
 
Lecture-01-Fundamental-Database-Concepts.pptx.pdf
Lecture-01-Fundamental-Database-Concepts.pptx.pdfLecture-01-Fundamental-Database-Concepts.pptx.pdf
Lecture-01-Fundamental-Database-Concepts.pptx.pdfSharmainnePale
 
Data Warehouse Design on Cloud ,A Big Data approach Part_One
Data Warehouse Design on Cloud ,A Big Data approach Part_OneData Warehouse Design on Cloud ,A Big Data approach Part_One
Data Warehouse Design on Cloud ,A Big Data approach Part_OnePanchaleswar Nayak
 
Webinar 5-reasons-object-storage.pptx
Webinar 5-reasons-object-storage.pptxWebinar 5-reasons-object-storage.pptx
Webinar 5-reasons-object-storage.pptxCloudian
 

Similar to Comparative Analysis of Database Systems (20)

Databases
DatabasesDatabases
Databases
 
Bioinformatics&Databases.ppt
Bioinformatics&Databases.pptBioinformatics&Databases.ppt
Bioinformatics&Databases.ppt
 
Big Data + Sentiment Analysis = Awesome
Big Data + Sentiment Analysis = AwesomeBig Data + Sentiment Analysis = Awesome
Big Data + Sentiment Analysis = Awesome
 
traffic sign detection using deep learning.pptx
traffic sign detection using deep learning.pptxtraffic sign detection using deep learning.pptx
traffic sign detection using deep learning.pptx
 
Open refine to update and clean up your messy data
Open refine to update and clean up your messy dataOpen refine to update and clean up your messy data
Open refine to update and clean up your messy data
 
Nosql-Module 1 PPT.pptx
Nosql-Module 1 PPT.pptxNosql-Module 1 PPT.pptx
Nosql-Module 1 PPT.pptx
 
History of database processing module 1 (2)
History of database processing module 1 (2)History of database processing module 1 (2)
History of database processing module 1 (2)
 
Deploying Big Data Platforms
Deploying Big Data PlatformsDeploying Big Data Platforms
Deploying Big Data Platforms
 
Ms access
Ms accessMs access
Ms access
 
ITI015En-The evolution of databases (I)
ITI015En-The evolution of databases (I)ITI015En-The evolution of databases (I)
ITI015En-The evolution of databases (I)
 
Data for Action Talk - 2016-02-22
Data for Action Talk - 2016-02-22Data for Action Talk - 2016-02-22
Data for Action Talk - 2016-02-22
 
Databases - Web Hosting Curriculum [6/10]
Databases - Web Hosting Curriculum [6/10]Databases - Web Hosting Curriculum [6/10]
Databases - Web Hosting Curriculum [6/10]
 
Lec20.pptx introduction to data bases and information systems
Lec20.pptx introduction to data bases and information systemsLec20.pptx introduction to data bases and information systems
Lec20.pptx introduction to data bases and information systems
 
[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReaders
[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReaders[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReaders
[Rakuten TechConf2014] [C-2] Big Data for eBooks and eReaders
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSING
 
Database Management Systems 1
Database Management Systems 1Database Management Systems 1
Database Management Systems 1
 
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
Jeremy Engle's slides from Redshift / Big Data meetup on July 13, 2017
 
Lecture-01-Fundamental-Database-Concepts.pptx.pdf
Lecture-01-Fundamental-Database-Concepts.pptx.pdfLecture-01-Fundamental-Database-Concepts.pptx.pdf
Lecture-01-Fundamental-Database-Concepts.pptx.pdf
 
Data Warehouse Design on Cloud ,A Big Data approach Part_One
Data Warehouse Design on Cloud ,A Big Data approach Part_OneData Warehouse Design on Cloud ,A Big Data approach Part_One
Data Warehouse Design on Cloud ,A Big Data approach Part_One
 
Webinar 5-reasons-object-storage.pptx
Webinar 5-reasons-object-storage.pptxWebinar 5-reasons-object-storage.pptx
Webinar 5-reasons-object-storage.pptx
 

Recently uploaded

Mathan flower ppt.pptx slide orchids ✨🌸
Mathan flower ppt.pptx slide orchids ✨🌸Mathan flower ppt.pptx slide orchids ✨🌸
Mathan flower ppt.pptx slide orchids ✨🌸mathanramanathan2005
 
INDIAN GCP GUIDELINE. for Regulatory affair 1st sem CRR
INDIAN GCP GUIDELINE. for Regulatory  affair 1st sem CRRINDIAN GCP GUIDELINE. for Regulatory  affair 1st sem CRR
INDIAN GCP GUIDELINE. for Regulatory affair 1st sem CRRsarwankumar4524
 
PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.
PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.
PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.KathleenAnnCordero2
 
Work Remotely with Confluence ACE 2.pptx
Work Remotely with Confluence ACE 2.pptxWork Remotely with Confluence ACE 2.pptx
Work Remotely with Confluence ACE 2.pptxmavinoikein
 
Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist
Simulation-based Testing of Unmanned Aerial Vehicles with AerialistSimulation-based Testing of Unmanned Aerial Vehicles with Aerialist
Simulation-based Testing of Unmanned Aerial Vehicles with AerialistSebastiano Panichella
 
Quality by design.. ppt for RA (1ST SEM
Quality by design.. ppt for  RA (1ST SEMQuality by design.. ppt for  RA (1ST SEM
Quality by design.. ppt for RA (1ST SEMCharmi13
 
DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...
DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...
DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...Henrik Hanke
 
The 3rd Intl. Workshop on NL-based Software Engineering
The 3rd Intl. Workshop on NL-based Software EngineeringThe 3rd Intl. Workshop on NL-based Software Engineering
The 3rd Intl. Workshop on NL-based Software EngineeringSebastiano Panichella
 
SBFT Tool Competition 2024 -- Python Test Case Generation Track
SBFT Tool Competition 2024 -- Python Test Case Generation TrackSBFT Tool Competition 2024 -- Python Test Case Generation Track
SBFT Tool Competition 2024 -- Python Test Case Generation TrackSebastiano Panichella
 
The Ten Facts About People With Autism Presentation
The Ten Facts About People With Autism PresentationThe Ten Facts About People With Autism Presentation
The Ten Facts About People With Autism PresentationNathan Young
 
Chizaram's Women Tech Makers Deck. .pptx
Chizaram's Women Tech Makers Deck.  .pptxChizaram's Women Tech Makers Deck.  .pptx
Chizaram's Women Tech Makers Deck. .pptxogubuikealex
 
Dutch Power - 26 maart 2024 - Henk Kras - Circular Plastics
Dutch Power - 26 maart 2024 - Henk Kras - Circular PlasticsDutch Power - 26 maart 2024 - Henk Kras - Circular Plastics
Dutch Power - 26 maart 2024 - Henk Kras - Circular PlasticsDutch Power
 
Call Girls In Aerocity 🤳 Call Us +919599264170
Call Girls In Aerocity 🤳 Call Us +919599264170Call Girls In Aerocity 🤳 Call Us +919599264170
Call Girls In Aerocity 🤳 Call Us +919599264170Escort Service
 
Genshin Impact PPT Template by EaTemp.pptx
Genshin Impact PPT Template by EaTemp.pptxGenshin Impact PPT Template by EaTemp.pptx
Genshin Impact PPT Template by EaTemp.pptxJohnree4
 
Engaging Eid Ul Fitr Presentation for Kindergartners.pptx
Engaging Eid Ul Fitr Presentation for Kindergartners.pptxEngaging Eid Ul Fitr Presentation for Kindergartners.pptx
Engaging Eid Ul Fitr Presentation for Kindergartners.pptxAsifArshad8
 
Early Modern Spain. All about this period
Early Modern Spain. All about this periodEarly Modern Spain. All about this period
Early Modern Spain. All about this periodSaraIsabelJimenez
 
Event 4 Introduction to Open Source.pptx
Event 4 Introduction to Open Source.pptxEvent 4 Introduction to Open Source.pptx
Event 4 Introduction to Open Source.pptxaryanv1753
 
THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...
THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...
THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...漢銘 謝
 
miladyskindiseases-200705210221 2.!!pptx
miladyskindiseases-200705210221 2.!!pptxmiladyskindiseases-200705210221 2.!!pptx
miladyskindiseases-200705210221 2.!!pptxCarrieButtitta
 
SaaStr Workshop Wednesday w/ Kyle Norton, Owner.com
SaaStr Workshop Wednesday w/ Kyle Norton, Owner.comSaaStr Workshop Wednesday w/ Kyle Norton, Owner.com
SaaStr Workshop Wednesday w/ Kyle Norton, Owner.comsaastr
 

Recently uploaded (20)

Mathan flower ppt.pptx slide orchids ✨🌸
Mathan flower ppt.pptx slide orchids ✨🌸Mathan flower ppt.pptx slide orchids ✨🌸
Mathan flower ppt.pptx slide orchids ✨🌸
 
INDIAN GCP GUIDELINE. for Regulatory affair 1st sem CRR
INDIAN GCP GUIDELINE. for Regulatory  affair 1st sem CRRINDIAN GCP GUIDELINE. for Regulatory  affair 1st sem CRR
INDIAN GCP GUIDELINE. for Regulatory affair 1st sem CRR
 
PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.
PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.
PAG-UNLAD NG EKONOMIYA na dapat isaalang alang sa pag-aaral.
 
Work Remotely with Confluence ACE 2.pptx
Work Remotely with Confluence ACE 2.pptxWork Remotely with Confluence ACE 2.pptx
Work Remotely with Confluence ACE 2.pptx
 
Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist
Simulation-based Testing of Unmanned Aerial Vehicles with AerialistSimulation-based Testing of Unmanned Aerial Vehicles with Aerialist
Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist
 
Quality by design.. ppt for RA (1ST SEM
Quality by design.. ppt for  RA (1ST SEMQuality by design.. ppt for  RA (1ST SEM
Quality by design.. ppt for RA (1ST SEM
 
DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...
DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...
DGT @ CTAC 2024 Valencia: Most crucial invest to digitalisation_Sven Zoelle_v...
 
The 3rd Intl. Workshop on NL-based Software Engineering
The 3rd Intl. Workshop on NL-based Software EngineeringThe 3rd Intl. Workshop on NL-based Software Engineering
The 3rd Intl. Workshop on NL-based Software Engineering
 
SBFT Tool Competition 2024 -- Python Test Case Generation Track
SBFT Tool Competition 2024 -- Python Test Case Generation TrackSBFT Tool Competition 2024 -- Python Test Case Generation Track
SBFT Tool Competition 2024 -- Python Test Case Generation Track
 
The Ten Facts About People With Autism Presentation
The Ten Facts About People With Autism PresentationThe Ten Facts About People With Autism Presentation
The Ten Facts About People With Autism Presentation
 
Chizaram's Women Tech Makers Deck. .pptx
Chizaram's Women Tech Makers Deck.  .pptxChizaram's Women Tech Makers Deck.  .pptx
Chizaram's Women Tech Makers Deck. .pptx
 
Dutch Power - 26 maart 2024 - Henk Kras - Circular Plastics
Dutch Power - 26 maart 2024 - Henk Kras - Circular PlasticsDutch Power - 26 maart 2024 - Henk Kras - Circular Plastics
Dutch Power - 26 maart 2024 - Henk Kras - Circular Plastics
 
Call Girls In Aerocity 🤳 Call Us +919599264170
Call Girls In Aerocity 🤳 Call Us +919599264170Call Girls In Aerocity 🤳 Call Us +919599264170
Call Girls In Aerocity 🤳 Call Us +919599264170
 
Genshin Impact PPT Template by EaTemp.pptx
Genshin Impact PPT Template by EaTemp.pptxGenshin Impact PPT Template by EaTemp.pptx
Genshin Impact PPT Template by EaTemp.pptx
 
Engaging Eid Ul Fitr Presentation for Kindergartners.pptx
Engaging Eid Ul Fitr Presentation for Kindergartners.pptxEngaging Eid Ul Fitr Presentation for Kindergartners.pptx
Engaging Eid Ul Fitr Presentation for Kindergartners.pptx
 
Early Modern Spain. All about this period
Early Modern Spain. All about this periodEarly Modern Spain. All about this period
Early Modern Spain. All about this period
 
Event 4 Introduction to Open Source.pptx
Event 4 Introduction to Open Source.pptxEvent 4 Introduction to Open Source.pptx
Event 4 Introduction to Open Source.pptx
 
THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...
THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...
THE COUNTRY WHO SOLVED THE WORLD_HOW CHINA LAUNCHED THE CIVILIZATION REVOLUTI...
 
miladyskindiseases-200705210221 2.!!pptx
miladyskindiseases-200705210221 2.!!pptxmiladyskindiseases-200705210221 2.!!pptx
miladyskindiseases-200705210221 2.!!pptx
 
SaaStr Workshop Wednesday w/ Kyle Norton, Owner.com
SaaStr Workshop Wednesday w/ Kyle Norton, Owner.comSaaStr Workshop Wednesday w/ Kyle Norton, Owner.com
SaaStr Workshop Wednesday w/ Kyle Norton, Owner.com
 

Comparative Analysis of Database Systems

  • 1. TOPIC NAME: COMPARATIVE ANALYSIS OF DATABASE SYSTEMS
  • 2. COMPARATIVE ANALYSIS OF DATABASE SYSTEMS: • TO DISCUSS THE LEGACY OF DATABASE, FIRST LEARN THE CONCEPT OF DATABASE THAT WHAT IS DATABASE? • ` WHY WE USE IT? • WHAT IS THE ADVANTAGE OF USING IT?
  • 3. COMPARATIVE ANALYSIS OF DATABASE SYSTEMS: • SO THE DATABASE IS JUST LIKE YOUR DIARY WHERE YOU CAN TYPE YOUR DATA, SAVE YOUR DATA, ARRANGE IT AND WHENEVER YOU NEED IT YOU CAN GET ANY KIND OF INFORMATION (STORED IN THE DOCUMENT) INFORMATION FROM IT. FOR EXAMPLE: YOUR MOBILE PHONE ARE ALSO JUST LIKE A DATABASE.
  • 4. COMPARATIVE ANALYSIS OF DATABASE SYSTEMS: • NOW UNDERSTAND WHY WE USE IT? • WHAT ARE THE REASONS BEHIND IT THAT WE USE IT? • WE USE THE DATABASE BECAUSE IT IS THE WAY TO SAVE, UPDATE AND RETRIEVE THE DATA AUTOMATICALLY. • AS THE WORLD IS NOW BECOME GLOBAL VILLAGE THEREFORE USE OF DATABASE IS VERY COMMON.
  • 5. ADVANTAGES: FOLLOWING ARE THE ADVANTAGES OF USING DATABASE: • IT IS THE EASIEST WAY OF STORING DATA. • THE DATA CAN BE USE FURTHER IN FUTURE. • IT SAVES THE TIME.
  • 6. DATABASE TYPES: THERE ARE THREE TYPES OF DATABASE SYSTEMS: • FLAT FILES DATABASE • HIERARCHY DATABASE • NETWORK DATABASE
  • 7. FLAT FILES DATABASE: • IN THIS TYPE OF DATABASE, DATA IS STORED IN THE FORM OF HORIZONTAL ROWS. • THE HORIZONTAL RECORDS SHOW A RECORD. • EACH RECORD HAS A SPECIFIC DATA. • THIS TYPE OF DATABASE IS GENERALLY USED IN GROCERY STORES. • THE DISADVANTAGE OF USING THIS TYPE OF DATABASE IS THAT IN WHICH THE DATA IS STORED WITH THE SAME AND WHEN YOU RETRIEVE THE INFORMATION, IT IS DIFFICULT FOR COMPUTER TO FIND OUT THE EXACT DATA AND THERE IS A POSSIBILITY THAT A ERROR MAY OCCUR.
  • 8. FLAT FILES DATABASE: • LET’S CONSIDER AN EXAMPLE: IT IS THE DATA OF A GROCERY STORE. IN THIS DATABASE IT INCLUDES A NAME, PRODUCT, QUANTITY, PRICE AND THE TOTAL OF EACH CUSTOMER. • THIS DATABASE CAN ALSO BE CREATED IN MS-EXCEL. Name Product Quantity Price Total Bill ABC Fan 2 150 150*2=300 XYZ Pen 5 10 10*5=50 MNO Rubber 10 5 5*10=50
  • 9. HIERARCHY DATABASE: • DUE THE DISADVANTAGES OF THE FLAT FILE DATABASE SYSTEMS, HIERARCHY DATABASE SYSTEM IS USED. • IN THIS TYPE OF DATABASE SYSTEMS, THE DATA IS STORED IN THE ORGANIZATIONAL TREE. • IT IS INTRODUCED IN 1968. • IN THIS TYPE OF RELATIONSHIP, THERE IS ONLY ONE PARENT AND THE PARENT HAVE MORE THAN ONE CHILD. • THERE ARE MANY CHILDREN OF ONLY PARENT. • THE HIERARCHICAL DATABASES HANDLE ONE-TO-MANY RELATIONSHIP VERY WELL.
  • 10. HIERARCHY DATABASE: • CONSIDER THE PREVIOUS EXAMPLE OF A GROCERY STORE THAT HOW IT WORKS ON A HIERARCHY DATABASE SYSTEMS. IN THIS SYSTEM THE DATA IS RETRIEVED THROUGH THE FOLLOWING FORMAT:
  • 11. HIERARCHY DATABASE: • THE HIERARCHICAL DATABASES HANDLE ONE-TO-MANY RELATIONSHIP VERY WELL.
  • 12. NETWORK DATABASES: • THE PROBLEM IN THE HIERARCHICAL DATABASE MODEL IS REMOVED IN THIS MODEL. • IT WAS PUBLISHED IN 1971 BY A PROGRAMMING LANGUAGE COBOL. • IT WORKS SAME TO A HIERARCHICAL DATABASE SYSTEMS. • IT WORKS ON MANY TO MANY RELATIONSHIPS, INSTEAD OF ONE TO MANY RELATIONSHIPS IN THE HIERARCHY DATABASE SYSTEM. • IN ONE TO MANY RELATIONSHIPS, THERE MUST BE A PARENT OF EACH CHILD. • BUT IN MANY TO MANY RELATIONSHIPS, THERE ARE MANY CHILDREN OF A PARENT AND MANY PARENT OF EACH CHILD.
  • 13. NETWORK DATABASES: • IT ALSO HAVE A SAME FORMAT TO A HIERARCHICAL DATABASE SYSTEM. • BUT IN THIS THE BRANCHES OF THE TREE ARE SHARED. • TO RETRIEVE ANY INFORMATION ANY INFORMATION OF THE CUSTOMER AND THE PRODUCT START WITH THE SAME TO A ORDER HEADER. • THERE IS ALSO A DISADVANTAGE OF BOTH THE HIERARCHY AND THE NETWORK DATABASE SYSTEM. BOTH ARE PROGRAMMER’S DOMAIN. IN BOTH OF THEM, CREATION OF DATA STRUCTURE IS MUST AND THEN IT WILL CREATE AN OUTPUT. PROGRAMS WERE NOT PORTABLE AND TOOK ENORMOUS AMOUNT OF TIME TO WRITE.
  • 15. NETWORK DATABASES: • THERE IS ALSO A DISADVANTAGE OF BOTH THE HIERARCHY AND THE NETWORK DATABASE SYSTEM. • BOTH ARE PROGRAMMER’S DOMAIN. IN BOTH OF THEM, CREATION OF DATA STRUCTURE IS MUST AND THEN IT WILL CREATE AN OUTPUT. • PROGRAMS WERE NOT PORTABLE AND TOOK ENORMOUS AMOUNT OF TIME TO WRITE.