SlideShare una empresa de Scribd logo
1 de 23
Databases The Fundamentals
Understanding Information ,[object Object],[object Object]
Data & Information ,[object Object],[object Object],[object Object],[object Object],Information is data converted into meaningful and useful context
Purpose of a Database ,[object Object],An Excel Spreadsheet is useful for keeping track of things as well: But not of things that require more than one theme
Example DB with more than 1 theme A DB however can manage multiple Theme
What is a DB? ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
Figure 4-3 Student Table (also called File)
Information Granularity ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
High Quality Information Accuracy Are all values correct?  Is name spelt correctly or $ amount right. Completeness Are any values missing?  Does address include state and zip code? Consistency Is aggregate or summary information in agreement with detailed information?  Example, do all total fields equal the true total of individual fields? Uniqueness Is each transaction, entity, and event represented only once in the information? Are their duplicate customers? Timeliness Is information current with respect to the business requirements? Is data updated weekly, daily, or hourly?
Quality information for Decision-Making ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How do our systems collect poor data? ,[object Object],[object Object],[object Object],[object Object]
Database Fundamentals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DBMS ,[object Object],[object Object]
Database Advantages Increased Flexibility Needs to be able to handle changes quickly; It also needs to be able to allow users to use information in the many different ways  they may need to  Increased Scalability & Performance Manages large masses of information and large numbers of users in ways non-technical solutions could not! Reduced Redundancy Keeps organizations from storing the same information in multiple places Increased Integrity Is a measure of the quality of information. Integrity constraints are rules that help ensure the quality of information Increased Security Managed with passwords and levels of authorizations
Data Warehouses & Data Marts ,[object Object],[object Object],[object Object],[object Object]
Data Warehouses ,[object Object],[object Object]
Model of a typical Data Warehouse
ETL ,[object Object],[object Object]
Data Marts ,[object Object],[object Object],[object Object],[object Object],[object Object]
Business Intelligence ,[object Object],[object Object],[object Object],[object Object],[object Object]
Gaining sustainable competitive advantage with BI ,[object Object],[object Object],Technology Technology enables even the smallest of companies to compute and monitor business metrics People “ business intelligence for the masses” takes the BI out of the hands of analysts and into the hands of employees closest to the customer Culture Set by executives and managers.  Best way to encourage BI is to measure the performance of key indicators

Más contenido relacionado

La actualidad más candente

Data Ware Housing And Data Mining
Data Ware Housing And Data MiningData Ware Housing And Data Mining
Data Ware Housing And Data Miningcpjcollege
 
Data warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-designData warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-designSarita Kataria
 
Data warehouse and data mining
Data warehouse and data miningData warehouse and data mining
Data warehouse and data miningRohit Kumar
 
Business Intelligence Module 1
Business Intelligence Module 1Business Intelligence Module 1
Business Intelligence Module 1Home
 
Rev_3 Components of a Data Warehouse
Rev_3 Components of a Data WarehouseRev_3 Components of a Data Warehouse
Rev_3 Components of a Data WarehouseRyan Andhavarapu
 
Introduction to Data Warehouse
Introduction to Data WarehouseIntroduction to Data Warehouse
Introduction to Data WarehouseShanthi Mukkavilli
 
Mis jaiswal-chapter-04
Mis jaiswal-chapter-04Mis jaiswal-chapter-04
Mis jaiswal-chapter-04Amit Fogla
 
Dwdm 2(data warehouse)
Dwdm 2(data warehouse)Dwdm 2(data warehouse)
Dwdm 2(data warehouse)Er Bansal
 
MIS: Business Intelligence
MIS: Business IntelligenceMIS: Business Intelligence
MIS: Business IntelligenceJonathan Coleman
 
Data mining & data warehousing
Data mining & data warehousingData mining & data warehousing
Data mining & data warehousingShubha Brota Raha
 
Importance of Data Mining
Importance of Data MiningImportance of Data Mining
Importance of Data MiningScottperrone
 
Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)Bernardo Najlis
 
Introduction to Data Warehousing
Introduction to Data WarehousingIntroduction to Data Warehousing
Introduction to Data WarehousingEdureka!
 
Basic Introduction of Data Warehousing from Adiva Consulting
Basic Introduction of  Data Warehousing from Adiva ConsultingBasic Introduction of  Data Warehousing from Adiva Consulting
Basic Introduction of Data Warehousing from Adiva Consultingadivasoft
 
Warehouse components
Warehouse componentsWarehouse components
Warehouse componentsganblues
 
Data mining Introduction
Data mining IntroductionData mining Introduction
Data mining IntroductionVijayasankariS
 
Modern trends in information systems
Modern trends in information systemsModern trends in information systems
Modern trends in information systemsPreeti Sontakke
 

La actualidad más candente (20)

Data Ware Housing And Data Mining
Data Ware Housing And Data MiningData Ware Housing And Data Mining
Data Ware Housing And Data Mining
 
Data warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-designData warehouse-dimensional-modeling-and-design
Data warehouse-dimensional-modeling-and-design
 
Data warehouse and data mining
Data warehouse and data miningData warehouse and data mining
Data warehouse and data mining
 
Business Intelligence Module 1
Business Intelligence Module 1Business Intelligence Module 1
Business Intelligence Module 1
 
Rev_3 Components of a Data Warehouse
Rev_3 Components of a Data WarehouseRev_3 Components of a Data Warehouse
Rev_3 Components of a Data Warehouse
 
Introduction to Data Warehouse
Introduction to Data WarehouseIntroduction to Data Warehouse
Introduction to Data Warehouse
 
Mis jaiswal-chapter-04
Mis jaiswal-chapter-04Mis jaiswal-chapter-04
Mis jaiswal-chapter-04
 
Dwdm 2(data warehouse)
Dwdm 2(data warehouse)Dwdm 2(data warehouse)
Dwdm 2(data warehouse)
 
MIS: Business Intelligence
MIS: Business IntelligenceMIS: Business Intelligence
MIS: Business Intelligence
 
Data mining & data warehousing
Data mining & data warehousingData mining & data warehousing
Data mining & data warehousing
 
Importance of Data Mining
Importance of Data MiningImportance of Data Mining
Importance of Data Mining
 
Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)Business Intelligence Presentation (1/2)
Business Intelligence Presentation (1/2)
 
Introduction to Data Warehousing
Introduction to Data WarehousingIntroduction to Data Warehousing
Introduction to Data Warehousing
 
Introduction to Data Warehousing
Introduction to Data WarehousingIntroduction to Data Warehousing
Introduction to Data Warehousing
 
Basic Introduction of Data Warehousing from Adiva Consulting
Basic Introduction of  Data Warehousing from Adiva ConsultingBasic Introduction of  Data Warehousing from Adiva Consulting
Basic Introduction of Data Warehousing from Adiva Consulting
 
Warehouse components
Warehouse componentsWarehouse components
Warehouse components
 
Data mining Introduction
Data mining IntroductionData mining Introduction
Data mining Introduction
 
Business intelligence
Business intelligenceBusiness intelligence
Business intelligence
 
Classification of data
Classification of dataClassification of data
Classification of data
 
Modern trends in information systems
Modern trends in information systemsModern trends in information systems
Modern trends in information systems
 

Similar a Databases

Dataware housing
Dataware housingDataware housing
Dataware housingwork
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSINGKing Julian
 
Managing Data Strategically
Managing Data StrategicallyManaging Data Strategically
Managing Data StrategicallyMichael Findling
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousingwork
 
The Data Warehouse Essays
The Data Warehouse EssaysThe Data Warehouse Essays
The Data Warehouse EssaysMelissa Moore
 
BI_LECTURE_4-2021.pptx
BI_LECTURE_4-2021.pptxBI_LECTURE_4-2021.pptx
BI_LECTURE_4-2021.pptxhajon27910
 
Foundation of information system
Foundation of information systemFoundation of information system
Foundation of information systemRajThakuri
 
CHAPTER5Database Systemsand Big DataRafal Olechows
CHAPTER5Database Systemsand Big DataRafal OlechowsCHAPTER5Database Systemsand Big DataRafal Olechows
CHAPTER5Database Systemsand Big DataRafal OlechowsJinElias52
 
Data warehouse
Data warehouseData warehouse
Data warehouseRajThakuri
 
Business Intelligence Module 2
Business Intelligence Module 2Business Intelligence Module 2
Business Intelligence Module 2Home
 
Data quality and bi
Data quality and biData quality and bi
Data quality and bijeffd00
 

Similar a Databases (20)

Dataware housing
Dataware housingDataware housing
Dataware housing
 
DATA WAREHOUSING
DATA WAREHOUSINGDATA WAREHOUSING
DATA WAREHOUSING
 
Managing Data Strategically
Managing Data StrategicallyManaging Data Strategically
Managing Data Strategically
 
IT Ready - DW: 1st Day
IT Ready - DW: 1st Day IT Ready - DW: 1st Day
IT Ready - DW: 1st Day
 
Mm ii-t-1-database mkt-l-1-2
Mm ii-t-1-database mkt-l-1-2Mm ii-t-1-database mkt-l-1-2
Mm ii-t-1-database mkt-l-1-2
 
Datawarehousing
DatawarehousingDatawarehousing
Datawarehousing
 
The Data Warehouse Essays
The Data Warehouse EssaysThe Data Warehouse Essays
The Data Warehouse Essays
 
Database
DatabaseDatabase
Database
 
Database
DatabaseDatabase
Database
 
Dimensions
DimensionsDimensions
Dimensions
 
Database Systems Essay
Database Systems EssayDatabase Systems Essay
Database Systems Essay
 
BI_LECTURE_4-2021.pptx
BI_LECTURE_4-2021.pptxBI_LECTURE_4-2021.pptx
BI_LECTURE_4-2021.pptx
 
Foundation of information system
Foundation of information systemFoundation of information system
Foundation of information system
 
Abstract
AbstractAbstract
Abstract
 
CHAPTER5Database Systemsand Big DataRafal Olechows
CHAPTER5Database Systemsand Big DataRafal OlechowsCHAPTER5Database Systemsand Big DataRafal Olechows
CHAPTER5Database Systemsand Big DataRafal Olechows
 
Dbms
DbmsDbms
Dbms
 
Data warehouse
Data warehouseData warehouse
Data warehouse
 
Business Intelligence Module 2
Business Intelligence Module 2Business Intelligence Module 2
Business Intelligence Module 2
 
Unit 1
Unit 1Unit 1
Unit 1
 
Data quality and bi
Data quality and biData quality and bi
Data quality and bi
 

Más de UMaine

Information ethics & intro to information security
Information ethics & intro to information securityInformation ethics & intro to information security
Information ethics & intro to information securityUMaine
 
Information security management
Information security managementInformation security management
Information security managementUMaine
 
Information systems management
Information systems managementInformation systems management
Information systems managementUMaine
 
Erp case study
Erp case studyErp case study
Erp case studyUMaine
 
Erp case study
Erp case studyErp case study
Erp case studyUMaine
 
Bua 235 teamwork
Bua 235 teamwork Bua 235 teamwork
Bua 235 teamwork UMaine
 
Bua 235 teamwork
Bua 235 teamwork Bua 235 teamwork
Bua 235 teamwork UMaine
 
Business intelligence systems
Business intelligence systemsBusiness intelligence systems
Business intelligence systemsUMaine
 
Chap 8 ecommerce-scm
Chap 8  ecommerce-scmChap 8  ecommerce-scm
Chap 8 ecommerce-scmUMaine
 
Bua 235 bpm-chap 7
Bua 235 bpm-chap 7Bua 235 bpm-chap 7
Bua 235 bpm-chap 7UMaine
 
Data communications
Data communicationsData communications
Data communicationsUMaine
 
Chapter 5 data processing
Chapter 5 data processingChapter 5 data processing
Chapter 5 data processingUMaine
 
Chap 4 hardware & software
Chap 4 hardware & softwareChap 4 hardware & software
Chap 4 hardware & softwareUMaine
 
Is for competitive advantage
Is for competitive advantageIs for competitive advantage
Is for competitive advantageUMaine
 
Chap 2 collaboration information systems and teamwork
Chap 2 collaboration information systems and teamworkChap 2 collaboration information systems and teamwork
Chap 2 collaboration information systems and teamworkUMaine
 
Week 1 bua 235
Week 1 bua 235Week 1 bua 235
Week 1 bua 235UMaine
 
E Business & E Commerce +
E Business & E Commerce +E Business & E Commerce +
E Business & E Commerce +UMaine
 
Chapter 3 E Business
Chapter 3 E BusinessChapter 3 E Business
Chapter 3 E BusinessUMaine
 
Chapter 2 Decision Making
Chapter 2 Decision MakingChapter 2 Decision Making
Chapter 2 Decision MakingUMaine
 
Welcome To BUA 235-Intro
Welcome To BUA 235-IntroWelcome To BUA 235-Intro
Welcome To BUA 235-IntroUMaine
 

Más de UMaine (20)

Information ethics & intro to information security
Information ethics & intro to information securityInformation ethics & intro to information security
Information ethics & intro to information security
 
Information security management
Information security managementInformation security management
Information security management
 
Information systems management
Information systems managementInformation systems management
Information systems management
 
Erp case study
Erp case studyErp case study
Erp case study
 
Erp case study
Erp case studyErp case study
Erp case study
 
Bua 235 teamwork
Bua 235 teamwork Bua 235 teamwork
Bua 235 teamwork
 
Bua 235 teamwork
Bua 235 teamwork Bua 235 teamwork
Bua 235 teamwork
 
Business intelligence systems
Business intelligence systemsBusiness intelligence systems
Business intelligence systems
 
Chap 8 ecommerce-scm
Chap 8  ecommerce-scmChap 8  ecommerce-scm
Chap 8 ecommerce-scm
 
Bua 235 bpm-chap 7
Bua 235 bpm-chap 7Bua 235 bpm-chap 7
Bua 235 bpm-chap 7
 
Data communications
Data communicationsData communications
Data communications
 
Chapter 5 data processing
Chapter 5 data processingChapter 5 data processing
Chapter 5 data processing
 
Chap 4 hardware & software
Chap 4 hardware & softwareChap 4 hardware & software
Chap 4 hardware & software
 
Is for competitive advantage
Is for competitive advantageIs for competitive advantage
Is for competitive advantage
 
Chap 2 collaboration information systems and teamwork
Chap 2 collaboration information systems and teamworkChap 2 collaboration information systems and teamwork
Chap 2 collaboration information systems and teamwork
 
Week 1 bua 235
Week 1 bua 235Week 1 bua 235
Week 1 bua 235
 
E Business & E Commerce +
E Business & E Commerce +E Business & E Commerce +
E Business & E Commerce +
 
Chapter 3 E Business
Chapter 3 E BusinessChapter 3 E Business
Chapter 3 E Business
 
Chapter 2 Decision Making
Chapter 2 Decision MakingChapter 2 Decision Making
Chapter 2 Decision Making
 
Welcome To BUA 235-Intro
Welcome To BUA 235-IntroWelcome To BUA 235-Intro
Welcome To BUA 235-Intro
 

Último

Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 

Último (20)

Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 

Databases

  • 2.
  • 3.
  • 4.
  • 5. Example DB with more than 1 theme A DB however can manage multiple Theme
  • 6.
  • 7.
  • 8. Figure 4-3 Student Table (also called File)
  • 9.
  • 10.
  • 11. High Quality Information Accuracy Are all values correct? Is name spelt correctly or $ amount right. Completeness Are any values missing? Does address include state and zip code? Consistency Is aggregate or summary information in agreement with detailed information? Example, do all total fields equal the true total of individual fields? Uniqueness Is each transaction, entity, and event represented only once in the information? Are their duplicate customers? Timeliness Is information current with respect to the business requirements? Is data updated weekly, daily, or hourly?
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. Database Advantages Increased Flexibility Needs to be able to handle changes quickly; It also needs to be able to allow users to use information in the many different ways they may need to Increased Scalability & Performance Manages large masses of information and large numbers of users in ways non-technical solutions could not! Reduced Redundancy Keeps organizations from storing the same information in multiple places Increased Integrity Is a measure of the quality of information. Integrity constraints are rules that help ensure the quality of information Increased Security Managed with passwords and levels of authorizations
  • 17.
  • 18.
  • 19. Model of a typical Data Warehouse
  • 20.
  • 21.
  • 22.
  • 23.