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Database Management Systems & DBMSs

Kubatanidzwa kweSystems

Masisitimu azvino, kune ruzhinji, akakamurwa kuita zvikamu zvinobata nehupenyu hwesangano: dzinenge nguva dzese kutonga, bhajeti, bhavhadheti (zvehupfumi nezvemari), asiwo zvikamu zvevashandi, zvine zvese izvo. zvinoenderana nekambani. Chimwe nechimwe chezvikamu izvi zvehurongwa chinobatanidza, nenzira yaro, zvinhu zvezvikamu zvitatu (sekutonga, module imwe neimwe inozviita nenzira yakasiyana).

Nekushanduka kwekambani, nekuwedzera uye nekuchinja kwechimiro chayo, kudiwa kunonzwika kune yakaomesesa ruzivo system, kubatanidza imwe. dati uye mamwe ma modules. Izvi zvinoreva kuti kune zvakabatanidzwa zvinonyatsoitwa, mhinduro inoshanda zvakanyanya. Kubatanidza kunonyanya kuitwa nekubatanidza zvikamu zvakasiyana padanho rechimwe chete Database: chikamu chimwe nechimwe chine a Database izvo zvinoreva zvakasiyana-siyana, uye isu tinobatanidza ruzivo rwese rweizvozvo Database.

Muzviitiko zvakawanda, i Database ivo hukama uye kubatanidzwa kuri pamwero weruzivo, asi mamwe matekinoroji anoita kuti zvikwanise kubatanidza zvinhu.

Kana iwe uchida kubatanidza zvikamu zviviri nenzira yakasiyana, maitiro anowanikwa neERPs haasi nyore kushandisa. Muchokwadi, iyi mhando yekubatanidza ichiri kushaikwa muERPs: unogona kuita mamwe mabasa ekubatanidza dati da Database akawanda, asi izvi zvinoda kutorwa kweruzivo rwusati rwabatanidzwa muchikamu che data-mining.

Kubatanidza kushanda zvakanaka chinhu chakakosha chekambani, sezvo mumasangano anhasi, rimwe rematambudziko makuru nderekupindura zvakaringana uye nekukurumidza kumusika shanduko isingatarisike nyore. Semuenzaniso, kubuda kwemisika mitsva yehupfumi yakadai se

iyo Brazilian, Russian, Indian and Chinese one (inonzi "BRIC"), inokonzera matambudziko kumakambani eItaly, ayo anofanira kunzwisisa kuti angapinda sei mumisika iyoyo uye anoda ruzivo rusingawaniki pakarepo mune ERP. Nokuda kwechikonzero ichi, pane kudiwa deta rekuchengeta uye kuchera data. Mamaneja esangano anoda kuti ruzivo rwavanoda rupiwe nguva dzekupindura dzepakati pevhiki nemwedzi mumwe: kunze kweiyo hurongwa, kambani inoita sarudzo pasina. dati zvinodiwa uye tekinoroji yeruzivo inorasikirwa nebasa rayo, nokudaro ichionekwa semhinganidzo kana dambudziko. Paunenge uchigadzira Bhizinesi Intelligence system, saka zvakafanira kufunga nezvese mibvunzo inogona kubvunzwa nemaneja uye kugadzirira sisitimu kuti ikwanise kupa mhinduro. Tekinoroji yeruzivo inofanirwa kutevera kusimudzira kwekambani!

Kana iyo kambani isiri kutenga, asi iri kuwedzera musika wayo gore negore kutenderera pasirese, iyo system inoda kuchinjirwa kuti igone kuwedzera.

Kana iyo kambani iri kuburitsa zvese zvepakati zviwanikwa, chikuva chinofanira kukwanisa kushanduka munzira iyi. Saka panofanirwa kuve nekushanduka kwepuratifomu yekushandisa nenzira inotenderera, ine nguva iri pakati pemwedzi mitanhatu negumi nemiviri. Pamusoro pechikuva chekushandisa, zvisinei, pane iyo tekinoroji, iri yerudzi rwakasiyana, sezvo ichitsanangura nzira iyo tekinoroji yeruzivo inotungamirwa; yakakosha pakubudirira kwesarudzo padanho rekushandisa pachikuva uye kugadzirisa matambudziko. Kutenderera kwayo kwekushanduka mune iyi nyaya ndeyemakore akawanda uye inofanirwa kugara ichitariswa kuti ive nechokwadi chekuti dhizaini ndiyo yakanakira zvatinoda.

Saka pane 3 mazinga ekugadzirisa kuitira kupa mhinduro dzinoshanda:

  • tekinoroji chikuva (makore mazhinji)
  • application platform (6/12 mwedzi)
  • nyaya imwe chete (vhiki / mwedzi)

Nekudaro, iyi kupatsanurwa mumatanho hakusi nyore kuziva: kunyangwe iripo, haina kujeka-yakatemwa. Chimbofunga nezvemuenzaniso weENI, iyo parizvino iri kugadzira hurongwa hwe gore computing, akazvarwa zvakadaro aine pfungwa dzakasiyana kubva kune dze gore, uye zvakazochinja nekuti zvinodiwa nekambani zvakachinjawo.

Iyi kupatsanurwa inotsanangurawo chikonzero nei kushandiswa kwezvigamba kwakakunda muhurongwa hweERP, izvo zvinopa mhinduro nekukurumidza kumatambudziko matsva, asi hazvinatsiridze magadzirirwo ehurongwa, pane zvinopesana ivo vanowanzoita kuti zviwedzere.

Kubatanidza zvikamu ibasa rakakosha, nekuti zvikamu zvakabatanidzwa zvinochengetedza nguva uye kuderedza zvikanganiso nekuda kwekunyorwa kwebhuku. dati. Chokwadi chesangano chakafanana kwese kwese (kutarisira masevhisi anotengwa kana kupihwa, uchifunga nezve izvo zvinopinda nekusiya kambani, nezvimwewo) uye pahwaro hweizvi kambani inogadza zvinangwa zvayo (yakawanda sei kutenga, yakawanda sei gadzira, nezvimwewo). Tekinoroji yeruzivo inotsigira bhizinesi kwete muzvikamu izvi chete, asi zvakare kuburikidza nekushandisa maturusi akaita see-mail, intranets, vhidhiyo conferencing system, e-zvokutengeserana, Etc.

Teknolojia inokubvumira kubvisa mamwe mabasa, asi inogadzira mamwe.

Muchiitiko chesangano pane nguva dzose mabasa asina basa maererano nekugadzirwa kwemashoko anobatsira, saka zvinhu zvitatu zvinofanira kuchengetwa mupfungwa:

  • basa rakawandisa harigoni kubviswa pakarepo;
  • kana kushanda kunoramba kusina kuchinjwa, kune kuderedzwa kwebasa rinodiwa;
  • zvisinei, kana isu takagadzira hurongwa hwekuvandudza ruzivo rwevashandisi, vashandisi vachada kupindira kwevanhu.
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👍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).
Yangu Agile Privacy
Iyi saiti inoshandisa tekinoroji uye profiling makuki. Nekudzvanya gamuchira iwe unobvumidza ese eprofiling makuki. Nekudzvanya pakuramba kana X, makuki ese ekunyora anorambwa. Nekudzvanya pane gadzirisa zvinokwanisika kusarudza kuti ndeapi profiling makuki ekuita.
Saiti iyi inoenderana neData Dziviriro Act (LPD), Swiss Federal Law ye25 Gunyana 2020, uye GDPR, EU Regulation 2016/679, ine chekuita nekuchengetedzwa kwedata remunhu pamwe nekufamba kwemahara kwedata rakadaro.