SlideShare a Scribd company logo
1 of 3
APPLIED SYSTEMS

VOCABULARY
1. Database (Base de datos): is a set of data organized and interrelated, which are
gathered and exploitedby a companyorbusiness information systems in particular.
2. Access (Acceso):Theway in whichthe file or data set are referencedbycomputer.
3 End-user (Usuario Final): is theonewhoaccessdatabasesthrough a language of
inquiryorapplicationprograms.
4.
Searchengine
(Buscadores):
Oralsocalledsearchengines,
toolsthatallowtoclassifythe
information
thatexistsonthenetwork
makeitavailablesoonaccordingtothepreferences of theuser.

are
and

5 Field(Campo):Unitbasic a data base, a field can be, forexample, thename of a
person. Thenames of thefields, can notstartwithblankspaces and specialcharacters.
Theymaynotcarrypoints, orexclamationmarksorbrackets. Iftheymayhaveblankspaces
in themiddle.
6. Statistical data (Datos estadísticos): thesestorestatistical information aboutthe
data in thedatabase.
7. The DBMS: is a set of programsthat are responsible forhandlingthecreation and
allaccesstothedatabases.
8. Disposal (Eliminacion):It is a requestfordeletionwhich is expressedvery similar to
a query. However, instead of presentingtuplestotheuser, weremoveselectedtuples in
thedatabase.
You
can
onlydelete
complete
tuples;
You
can
deleteonlycertainattributevalues.
9 Ease of queries (Facilidad de consulta):allowtheusertomake simple
issuestothedatabase. Consultationshave as missiontoprovidethe information
requestedbytheuser of a fast and correctway.
10. Form (Formulario): is theelement in theform of date thatallowsthemanagement
of the data in a way more comfortable and visibly more attractive
11. Data Base Manager (Gestor de datos): is a set of programsthatallowtocreate and
maintain a database, ensuringitsintegrity, confidentiality and security
12.
Independence
of
data(Independencia
datos):referstotheprotectionagainsttheapplicationprogramsthat
can
changeswhenalteringthephysical and logicalorganization of data bases.

de
cause

13. JDBC:Theconnectivity of Bases of data Java (JDBC Java DatabaseConnectivity) is
anapplicationprogram interface specification (applicationprogram interface, API)
toconnectprogramswritten in Java tothe popular database data.
14. Themanipulation of data(Manipulacion de datos): data manipulation is
therecovery of information stored in the data base
15. Querylanguage: are thelanguages in whichusersrequest information
fromthedatabase. Theselanguages are usuallymosthigh-levelprogramminglanguages.
Querylanguages can be classified as procedural and non-procedural
16. Data Base manipulation (Lenguaje de consulta):usingthedatabase - user can
add, delete and modifydatabase information as well as alsomakeconsultations
17. Object-orienteddatabasemodel (Modelo de base de datos orientado a
objetos): is anadaptationtodatabasesystems. It is basedonthe concept of
encapsulation of data and codethatoperatesonthese in anobject.
18 Models of network (Modelo de redes):thismodelallowstherepresentation of
many-to-many of a database. Thenetworkmodelavoidsredundancy in information,
throughtheincorporation of a record calledtheconnectortype.
19 Levellogic (Nivel lógico): definition of data structuresthatconstitute
20 database. Integrity rules: are restrictionsthat define theconsistencies of
thedatabasesStates.
21.
DBMS:It
is
a
allaccesstothedatabases.

set

of

programswhichhandlethecremation

and

22.Software:It is a handlesystemthatallowstheusertoaccesseasilytothestored data
ordatabasesthatwalk be stored
23. Transaction (Transaccion):it is a sequence of operationsforaccesstothe data
base thatconstitutes a logicalunit of execution.
24.Transactionsshared
Compartidas):sharedtransactionssupportgroups
whichwishtocoordinatetheirefforts
in
real

of
time,

(Transaccion
usersonworkstations,
users
can
share
intermediateresultsfrom
a
database.
Thesharedtransactionallowsseveralpeopletointervene in a single transaction.
25. TUPLES (Tuplas): Is therepresentation of a row in a tablethatit is storing data.
And whichwill be calledbythedatabaseadministrators at the time of execution of a
system.

More Related Content

What's hot

Combining archetypes with FHIR in future-proof health information systems
Combining archetypes with FHIR in future-proof health information systemsCombining archetypes with FHIR in future-proof health information systems
Combining archetypes with FHIR in future-proof health information systemsyampeku
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesValeria Pesce
 
Web Mining & Text Mining
Web Mining & Text MiningWeb Mining & Text Mining
Web Mining & Text MiningHemant Sharma
 
A profile of Applied Data Analysis Lab (ADA Lab)
A profile of Applied Data Analysis Lab (ADA Lab)A profile of Applied Data Analysis Lab (ADA Lab)
A profile of Applied Data Analysis Lab (ADA Lab)Lukasz Bolikowski
 
HDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data PortalsHDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data PortalsAhmad Assaf
 
Concepts of Data Bases
Concepts of Data BasesConcepts of Data Bases
Concepts of Data BasesNetworking
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataStuart Chalk
 
Urm concept for sharing information inside of communities
Urm concept for sharing information inside of communitiesUrm concept for sharing information inside of communities
Urm concept for sharing information inside of communitiesKarel Charvat
 
Tovek Presentation by Livio Costantini
Tovek Presentation by Livio CostantiniTovek Presentation by Livio Costantini
Tovek Presentation by Livio Costantinimaxfalc
 
The importance of metadata for datasets: The DCAT-AP European standard
The importance of metadata for datasets: The DCAT-AP European standardThe importance of metadata for datasets: The DCAT-AP European standard
The importance of metadata for datasets: The DCAT-AP European standardGiorgia Lodi
 

What's hot (20)

Combining archetypes with FHIR in future-proof health information systems
Combining archetypes with FHIR in future-proof health information systemsCombining archetypes with FHIR in future-proof health information systems
Combining archetypes with FHIR in future-proof health information systems
 
Dataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabulariesDataset description: DCAT and other vocabularies
Dataset description: DCAT and other vocabularies
 
Ievobio2010cdaostore
Ievobio2010cdaostoreIevobio2010cdaostore
Ievobio2010cdaostore
 
Web Mining & Text Mining
Web Mining & Text MiningWeb Mining & Text Mining
Web Mining & Text Mining
 
A profile of Applied Data Analysis Lab (ADA Lab)
A profile of Applied Data Analysis Lab (ADA Lab)A profile of Applied Data Analysis Lab (ADA Lab)
A profile of Applied Data Analysis Lab (ADA Lab)
 
scopeKM: Text analysis with Triples
scopeKM: Text analysis with TriplesscopeKM: Text analysis with Triples
scopeKM: Text analysis with Triples
 
Dm and dw
Dm and dwDm and dw
Dm and dw
 
HDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data PortalsHDL - Towards A Harmonized Dataset Model for Open Data Portals
HDL - Towards A Harmonized Dataset Model for Open Data Portals
 
Data mining
Data miningData mining
Data mining
 
FAIR Data ecosystem
FAIR Data ecosystemFAIR Data ecosystem
FAIR Data ecosystem
 
DTL Partners Event - FAIR Data Tech overview - Day 1
DTL Partners Event - FAIR Data Tech overview - Day 1DTL Partners Event - FAIR Data Tech overview - Day 1
DTL Partners Event - FAIR Data Tech overview - Day 1
 
Metadata ppt
Metadata pptMetadata ppt
Metadata ppt
 
Concepts of Data Bases
Concepts of Data BasesConcepts of Data Bases
Concepts of Data Bases
 
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical DataA Generic Scientific Data Model and Ontology for Representation of Chemical Data
A Generic Scientific Data Model and Ontology for Representation of Chemical Data
 
Mendeley Data FAIR hackathon
Mendeley Data FAIR hackathonMendeley Data FAIR hackathon
Mendeley Data FAIR hackathon
 
Urm concept for sharing information inside of communities
Urm concept for sharing information inside of communitiesUrm concept for sharing information inside of communities
Urm concept for sharing information inside of communities
 
Database model
Database modelDatabase model
Database model
 
Tovek Presentation by Livio Costantini
Tovek Presentation by Livio CostantiniTovek Presentation by Livio Costantini
Tovek Presentation by Livio Costantini
 
The importance of metadata for datasets: The DCAT-AP European standard
The importance of metadata for datasets: The DCAT-AP European standardThe importance of metadata for datasets: The DCAT-AP European standard
The importance of metadata for datasets: The DCAT-AP European standard
 
Metadata Standards
Metadata StandardsMetadata Standards
Metadata Standards
 

Viewers also liked

Viewers also liked (9)

Acta compromiso
Acta compromisoActa compromiso
Acta compromiso
 
Exposision de power piont de tics
Exposision de power piont de ticsExposision de power piont de tics
Exposision de power piont de tics
 
Dispositivos perifericos
Dispositivos perifericosDispositivos perifericos
Dispositivos perifericos
 
Hernando coktes
Hernando coktesHernando coktes
Hernando coktes
 
Materiales inteligentes y de construcion
Materiales inteligentes y de construcionMateriales inteligentes y de construcion
Materiales inteligentes y de construcion
 
Role playing report
Role playing reportRole playing report
Role playing report
 
Fenômenos Fonético-Fonológicos da Língua Portuguesa
Fenômenos Fonético-Fonológicos da Língua PortuguesaFenômenos Fonético-Fonológicos da Língua Portuguesa
Fenômenos Fonético-Fonológicos da Língua Portuguesa
 
Morfossintaxe
MorfossintaxeMorfossintaxe
Morfossintaxe
 
Impacto ambiental
Impacto ambientalImpacto ambiental
Impacto ambiental
 

Similar to Applied systems

DATA BASE MANAGEMENT SYSTEM BY SAIKIRAN PANJALA
DATA BASE  MANAGEMENT SYSTEM BY SAIKIRAN PANJALADATA BASE  MANAGEMENT SYSTEM BY SAIKIRAN PANJALA
DATA BASE MANAGEMENT SYSTEM BY SAIKIRAN PANJALASaikiran Panjala
 
Database-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxDatabase-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxDhruveeHalvadiya
 
Database Management Systems ( Dbms )
Database Management Systems ( Dbms )Database Management Systems ( Dbms )
Database Management Systems ( Dbms )Patty Buckley
 
Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)Sreekanth Gali
 
Database Systems - introduction
Database Systems - introductionDatabase Systems - introduction
Database Systems - introductionJananath Banuka
 

Similar to Applied systems (20)

IT6701-Information management question bank
IT6701-Information management question bankIT6701-Information management question bank
IT6701-Information management question bank
 
DATA BASE MANAGEMENT SYSTEM BY SAIKIRAN PANJALA
DATA BASE  MANAGEMENT SYSTEM BY SAIKIRAN PANJALADATA BASE  MANAGEMENT SYSTEM BY SAIKIRAN PANJALA
DATA BASE MANAGEMENT SYSTEM BY SAIKIRAN PANJALA
 
Database system Handbook.docx
Database system Handbook.docxDatabase system Handbook.docx
Database system Handbook.docx
 
Database Concepts
Database ConceptsDatabase Concepts
Database Concepts
 
Database-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptxDatabase-management-system-dbms-ppt.pptx
Database-management-system-dbms-ppt.pptx
 
Database & dbms
Database & dbmsDatabase & dbms
Database & dbms
 
DBMS.pptx
DBMS.pptxDBMS.pptx
DBMS.pptx
 
Database systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdfDatabase systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdf
 
Database systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdfDatabase systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdf
 
Database systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdfDatabase systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdf
 
Database systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdfDatabase systems handbook dbms rdbms.pdf
Database systems handbook dbms rdbms.pdf
 
Database systems handbook.pdf
Database systems handbook.pdfDatabase systems handbook.pdf
Database systems handbook.pdf
 
Dbms unit 1
Dbms unit   1Dbms unit   1
Dbms unit 1
 
Database System Concepts
Database System ConceptsDatabase System Concepts
Database System Concepts
 
Database Management Systems ( Dbms )
Database Management Systems ( Dbms )Database Management Systems ( Dbms )
Database Management Systems ( Dbms )
 
Chapter1
Chapter1Chapter1
Chapter1
 
Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)Pharmacoinformatics Database basics(sree)
Pharmacoinformatics Database basics(sree)
 
Database Systems - introduction
Database Systems - introductionDatabase Systems - introduction
Database Systems - introduction
 
Mis chapter 7 database systems
Mis chapter 7 database systemsMis chapter 7 database systems
Mis chapter 7 database systems
 
Database systems Handbook by Muhammad Sharif.pdf
Database systems Handbook by Muhammad Sharif.pdfDatabase systems Handbook by Muhammad Sharif.pdf
Database systems Handbook by Muhammad Sharif.pdf
 

More from yuarchu

Certificado de fletes
Certificado de fletesCertificado de fletes
Certificado de fletesyuarchu
 
Incoterms2012
Incoterms2012Incoterms2012
Incoterms2012yuarchu
 
International distribution and logistics
International distribution and logisticsInternational distribution and logistics
International distribution and logisticsyuarchu
 
Project formulation
Project formulationProject formulation
Project formulationyuarchu
 
Terrestre
TerrestreTerrestre
Terrestreyuarchu
 
Tipos contenedores maritimos
Tipos contenedores maritimosTipos contenedores maritimos
Tipos contenedores maritimosyuarchu
 
Taller 2
Taller 2Taller 2
Taller 2yuarchu
 
taller 1
taller 1taller 1
taller 1yuarchu
 
Piratas;;
Piratas;;Piratas;;
Piratas;;yuarchu
 
Taller word formulario
Taller word  formularioTaller word  formulario
Taller word formularioyuarchu
 

More from yuarchu (13)

dian
diandian
dian
 
Certificado de fletes
Certificado de fletesCertificado de fletes
Certificado de fletes
 
Incoterms2012
Incoterms2012Incoterms2012
Incoterms2012
 
International distribution and logistics
International distribution and logisticsInternational distribution and logistics
International distribution and logistics
 
Project formulation
Project formulationProject formulation
Project formulation
 
Terrestre
TerrestreTerrestre
Terrestre
 
Tipos contenedores maritimos
Tipos contenedores maritimosTipos contenedores maritimos
Tipos contenedores maritimos
 
Quizes
QuizesQuizes
Quizes
 
Taller 2
Taller 2Taller 2
Taller 2
 
taller 1
taller 1taller 1
taller 1
 
Mapas
MapasMapas
Mapas
 
Piratas;;
Piratas;;Piratas;;
Piratas;;
 
Taller word formulario
Taller word  formularioTaller word  formulario
Taller word formulario
 

Recently uploaded

Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
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
 
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
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
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
 
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
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 

Recently uploaded (20)

Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
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
 
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
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
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
 
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
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 

Applied systems

  • 1. APPLIED SYSTEMS VOCABULARY 1. Database (Base de datos): is a set of data organized and interrelated, which are gathered and exploitedby a companyorbusiness information systems in particular. 2. Access (Acceso):Theway in whichthe file or data set are referencedbycomputer. 3 End-user (Usuario Final): is theonewhoaccessdatabasesthrough a language of inquiryorapplicationprograms. 4. Searchengine (Buscadores): Oralsocalledsearchengines, toolsthatallowtoclassifythe information thatexistsonthenetwork makeitavailablesoonaccordingtothepreferences of theuser. are and 5 Field(Campo):Unitbasic a data base, a field can be, forexample, thename of a person. Thenames of thefields, can notstartwithblankspaces and specialcharacters. Theymaynotcarrypoints, orexclamationmarksorbrackets. Iftheymayhaveblankspaces in themiddle. 6. Statistical data (Datos estadísticos): thesestorestatistical information aboutthe data in thedatabase. 7. The DBMS: is a set of programsthat are responsible forhandlingthecreation and allaccesstothedatabases. 8. Disposal (Eliminacion):It is a requestfordeletionwhich is expressedvery similar to a query. However, instead of presentingtuplestotheuser, weremoveselectedtuples in thedatabase. You can onlydelete complete tuples; You can deleteonlycertainattributevalues. 9 Ease of queries (Facilidad de consulta):allowtheusertomake simple issuestothedatabase. Consultationshave as missiontoprovidethe information requestedbytheuser of a fast and correctway. 10. Form (Formulario): is theelement in theform of date thatallowsthemanagement of the data in a way more comfortable and visibly more attractive 11. Data Base Manager (Gestor de datos): is a set of programsthatallowtocreate and maintain a database, ensuringitsintegrity, confidentiality and security
  • 2. 12. Independence of data(Independencia datos):referstotheprotectionagainsttheapplicationprogramsthat can changeswhenalteringthephysical and logicalorganization of data bases. de cause 13. JDBC:Theconnectivity of Bases of data Java (JDBC Java DatabaseConnectivity) is anapplicationprogram interface specification (applicationprogram interface, API) toconnectprogramswritten in Java tothe popular database data. 14. Themanipulation of data(Manipulacion de datos): data manipulation is therecovery of information stored in the data base 15. Querylanguage: are thelanguages in whichusersrequest information fromthedatabase. Theselanguages are usuallymosthigh-levelprogramminglanguages. Querylanguages can be classified as procedural and non-procedural 16. Data Base manipulation (Lenguaje de consulta):usingthedatabase - user can add, delete and modifydatabase information as well as alsomakeconsultations 17. Object-orienteddatabasemodel (Modelo de base de datos orientado a objetos): is anadaptationtodatabasesystems. It is basedonthe concept of encapsulation of data and codethatoperatesonthese in anobject. 18 Models of network (Modelo de redes):thismodelallowstherepresentation of many-to-many of a database. Thenetworkmodelavoidsredundancy in information, throughtheincorporation of a record calledtheconnectortype. 19 Levellogic (Nivel lógico): definition of data structuresthatconstitute 20 database. Integrity rules: are restrictionsthat define theconsistencies of thedatabasesStates. 21. DBMS:It is a allaccesstothedatabases. set of programswhichhandlethecremation and 22.Software:It is a handlesystemthatallowstheusertoaccesseasilytothestored data ordatabasesthatwalk be stored 23. Transaction (Transaccion):it is a sequence of operationsforaccesstothe data base thatconstitutes a logicalunit of execution. 24.Transactionsshared Compartidas):sharedtransactionssupportgroups whichwishtocoordinatetheirefforts in real of time, (Transaccion usersonworkstations, users can share
  • 3. intermediateresultsfrom a database. Thesharedtransactionallowsseveralpeopletointervene in a single transaction. 25. TUPLES (Tuplas): Is therepresentation of a row in a tablethatit is storing data. And whichwill be calledbythedatabaseadministrators at the time of execution of a system.