Webhu uye Information Systems

Webhusaiti Webhusaiti inoita tsvakiridzo nekusimudzira paWebhu uye Information Systems: “big data uye data science, kudzoreredza ruzivo, kudyidzana kwevanhu nekombuta, kugovera masisitimu eruzivo, uye semantic ruzivo masisitimu”.

Webhusaiti Webhusaiti ine zvigadzirwa zvehunyanzvi hunyanzvi paWebhu uye Information Systems: “big data uye data science, kudzoreredza ruzivo, kudyidzana kwevanhu nekombuta, kugovera masisitimu eruzivo, uye semantic ruzivo masisitimu” ed Webhusaiti Webhusaiti ine hunyanzvi mune bhizinesi process ruzivo kugadzira tsika software iri modular paWebhu uye Information Systems: “big data uye data science, kudzoreredza ruzivo, kudyidzana kwevanhu nekombuta, kugovera masisitimu eruzivo, uye semantic ruzivo masisitimu”.

Webhusaiti Webhusaiti ine hunyanzvi hwechigadzirwa hunyanzvi uye ruzivo mubhizinesi process ruzivo kugadzira tsika software iri modular paWebhu uye Ruzivo Systems: "big data uye data science, kudzoreredza ruzivo, kudyidzana kwevanhu nekombuta, kugovera masisitimu eruzivo, uye semantic ruzivo masisitimu”.

Webhusaiti Webhusaiti ine hunyanzvi hwekugadzira chigadzirwa paWebhu uye Information Systems: “big data uye data science, kudzoreredza ruzivo, kupindirana kwevanhu-kombuta, kugoverwa kweruzivo masisitimu, uye semantic ruzivo masisitimu" uye inotamisa bhizinesi tsika uye pamusoro pezvese ruzivo rwekufambisa.

Nhoroondo yeWebhu uye Information Systems yakabatana zvakanyanya nekushanduka kweWorld Wide Web uye matekinoroji akabatana nawo. Heino rondedzero yenguva yezviitiko zvikuru:

Mavambo (60s - 80s)

• Nheyo dzekubatana: Yekutanga-nguva-kugovera masisitimu (kugovana kwezviwanikwa zvemakomputa) uye network dati se ARPANET inoisa hwaro hwekugovana ruzivo pamwero mukuru.
• Hypertext: Ted Nelson anotora izwi rekuti "hypertext" uye anotsanangura chirongwa cheXanadu, achifungidzira nzira yekubatanidza zvinyorwa uye dati nenzira isina kutevedzana, kufanomiririra pfungwa dzakawanda dziri pasi pewebhu.

Kuberekwa kweWorld Wide Web (mukupera kwema80 - kutanga kwema90)

• HTTP uye HTML protocol: Tim Berners-Lee anogadzira zvakatemwa zveWorld Wide Web kuCERN: iyo HTTP protocol yekutapurirana dati uye HTML semutauro wemakapu wemapeji ewebhu.
• Browser yekutanga: Muna 1990 Berners-Lee akagadzira bhurawuza yekutanga, WorldWideWeb (yakazotevera Nexus), uye yekutanga webhu server, zvichiita kuti pfungwa yake iwanikwe pamhepo.
• WaMosesi: Muna 1993, Mosaic akaburitswa, intuitive graphical browser iyo yakamutsa kufarira kweveruzhinji uye yakawedzera zvakanyanya kutorwa kwewebhu.

Kuputika Kukura kweWebhu (90s)

• Injini yekutsvaga: Vokutanga vanozvarwa injini dzekutsvaga (WebCrawler, Lycos, ipapo Google mu1998), chishandiso chakakosha chekuzvitungamira muhuwandu huri kukura hwemukati.
• Dynamic Web: Tekinoroji seJavaScript, CGI uye gare gare PHP vanogadzira mukana wekuita kuti dandemutande iwirirane uye vanopa hwaro hwemasayiti anoita seanonyatso ruzivo masisitimu.
• E-commerce: Kuuya kwemapuratifomu akachengeteka ekubhadhara kwemagetsi kwakatungamira pakuzvarwa kwezvitoro zvekutanga zvepamhepo (semuenzaniso. AmazoneBay)

Webhu 2.0 uye Social Media (2000s)

• Mushandisi kutora chikamu Pfungwa yeWebhu 2.0 uye masaiti akatarisana nekudyidzana pakati pevashandisi anobuda. Mapuratifomu akadai seWikipedia, YouTube uye masocial network maparadigms ekukura uku.
• Systems "in gore": I gore Information Systems inotanga kupa masevhisi uye kuchengetedza dati Via Indaneti, kushandura mamodheru ekugadzira software nekugadzira masaiti.
• Webhu munguva chaiyo: Tekinoroji dzakadai seAJAX uye zvigadziko zvewebhu zvinobvumira masaiti uye maapplication kuti arambe achizvivandudza, achigonesa chaiyo-nguva kutumira mameseji uye ruzivo masevhisi.

Iyo inopararira uye semantic Webhu (2010s - nhasi)

• Mobile Web: Smartphones uye zvinongedzo dati pakufamba simbisa kuti webhu inesu uye kuwana kwakawanda kunogadzirwa kubva kunharembozha.
• Big Data: Iyo inogara ichiwedzera huwandu hwe dati inogadzirwa mundima yega yega nemakambani uye vashandisi inoisa matambudziko panzira dzekuchengetedza, kugadzirisa uye kutorwa kwezvinoreva kuburikidza newebhu.
• IoT uye Semantic Webhu: Inowedzera yakabatana michina uye masensa simbaInternet Zvinhu. Uyezve, tsvagiridzo paSemantic Webhu ine chinangwa chekupa otomatiki vamiririri mukana wakakura wekunzwisisa zvinoreva ruzivo rwuripo pawebhu.

Matambudziko nemikana

• Chengetedzo uye Zvakavanzika: Kuvimbisa kuchengetedzwa kweRuzivo Systems uye i dati yeavo vanoshandisa Webhu masevhisi inoramba iri dambudziko rinogara riripo. Saizvozvo, iva nechokwadi chekuvanzika mukushandiswa kwe dati munhu anofanira kugara achikoshesa.
• Artificial Intelligence: AI yakabatanidzwa mukati meWebhu uye Ruzivo Systems yave kutoshandura kutsvaga, hunhu hwekudyidzana uye otomatiki kugadzira zvemukati.
• Decentralization: Webhu yakaderera pakati ine mapuratifomu anovimbisa simba rakakura kune vanyori nevashandisi (semuenzaniso. blockchain uye Web3) inzvimbo inonakidza yekusimudzira uye inogona kushanduka paradigm.

mhedziso

Nhoroondo yeWebhu uye masisitimu eruzivo yakaona kukurumidza kusati kwamboitika kwebudiriro. Kubva pakugadzirwa kwekutanga kusvika kune yazvino permeability iyo ikozvino inopesvedzera zvese, izvi zvinoratidza rwendo runonakidza rune mukana wakajeka wekukanganisa zvakanyanya ramangwana.

Isu tiri vamwe web agency uye imwe webhu yekushambadzira agency, tinotsanangura zvako Webhusaiti Webhu kune edu masevhisi akaenderana kune yekupedzisira vatengi, isu tinoshanda se Software House , Software Kambani , Software kuvandudza kambani, webhu yekushambadzira agency, web agency e dandemutande sangano.
Webhusaiti Webhusaiti inopa mazano ebhizinesi emakwikwi, kuva mutungamiriri mukuzivikanwa kwedhijitari yekambani yako.

Isu tinopa mhando yepamusoro kune ese edu vatengi uye rega bhizinesi ravo redhijitari ribve.

Webhusaiti Webhusaiti ndiyo injini yedhijitari purojekiti, ngatibvise hunhu hwako hwedigital. Tinoda kuve shamwari yako yekambani yedhijitari.

Havasi ivo chete vari padyo nesu vanotisarudza.

arun CEO

👍Online Web Agency | Webhu Agency nyanzvi muDigital Marketing uye SEO. Webhu Agency Pamhepo iWebhu Agency. YeAgenzia Web Online kubudirira mukushandurwa kwedhijitari kunobva panheyo dzeIron SEO vhezheni 3. Hunyanzvi: Kubatanidzwa kweSystem, Enterprise Application Integration, Service Oriented Architecture, Cloud Computing, Dhata warehouse, njere dzebhizinesi, Big Data, portals, intranets, Web Application. Dhizaini uye manejimendi ehukama uye multidimensional dhatabhesi Kugadzira nzvimbo dzekupindirana dzedhijitari midhiya: usability uye Graphics. Online Web Agency inopa makambani masevhisi anotevera: -SEO paGoogle, Amazon, Bing, Yandex; -Web Analytics: Google Analytics, Google Tag Manager, Yandex Metrica; -Kushandura kwemushandisi: Google Analytics, Microsoft Clarity, Yandex Metrica; -SEM paGoogle, Bing, Amazon Ads; -Social Media Marketing (Facebook, Linkedin, Youtube, Instagram).

Ona Yakazara Bio

Digital Marketing Database DBMS Dhata Warehouse Data Science Kushambadzira Pamhepo Information Technology Webhusaiti Webhu Advertising Agency Marketing