Specialization zvidzidzo

kudzidza Chero ndiko kuchengeta zvivako zvinhu kuitira kujekesa uye kuyera noukama uye aiita pakati zviratidzi zvivako izvi.

Specialization zvinosanganisira zvinhu zvakasiyana ehupfumi dzavo uye mune dzimwe nzira dziri zvimwe zvinodyidzana. Chisarudzo zvirongwa mabasa chinotanga kudzidza nzvimbo.

Specialization - ndiwo venyika chaiyo, iyo magumo uye rine zvose zvinokosha uye sakosha mashoko. The mutsvakurudzi anofanira kukwanisa govera chikamu chinokosha vavo. Somuenzaniso, kugadzirisa dambudziko iri chikwereti, ichakurukurwa akakodzera mashoko ose pamusoro private upenyu yeGmail.END_STRONG (kana pane basa ane mudzimai, vana vaduku kana mutengi kunounza, yeGmail.END_STRONG dzidzo, etc.). Uye kuti kugadzirisa mabasa chokuita rwezvemabhengi mabasa vamwe, mashoko akadaro achava zvikuru chakazvibata. Data ukoshi zvinoenderana chii tinosarudza sezvo nyaya yacho.

Munguva yokudzidza, unofanira kuumba soumambo womuenzaniso. Knowledge hwatingawana siyana anofanira formalized. Specialization iri formalized pachishandiswa chero nzira. Mari inogona kuva akasiyana chaizvo. Izvi zvinogona kuva chinyorwa rondedzero umambo kana unyanzvi graphical notation. With umambo womuenzaniso rinotsanangura kwemasayendisiti kuti kuitika mairi, uyewo mashoko kudzidza nzvimbo dziri kudzidza.

Mutsara dambudziko ndiyewo rondedzero kunofambira mberi uye simba maitiro zvinhu kuti isu kuongorora. Description kunofambira mberi maitiro kunosanganisira zvainyanya zvinhu zvavo zvivako. Mukutsanangura simba maitiro inozivikanwa chinokonzera zvinhu maitiro.

The simba unhu zvinhu rinowanzoshandiswa anotsanangurwa pamwe kunofambira mberi maitiro.

Dzimwe nguva inotongwa uye basa kuongorora ikashandiswa mune rimwe danho.

Danho dzokuziva uye kuongorora mashoko zvinodiwa akaita Modelling Data vanoenderana Data Mining. Chidzidzo ichi matambudziko kuparadzirwa vanoshandisa; Analytical zvechadenga hurongwa; date kuwana nyaya zvakakodzera kuti ongororo.

Specialization inoongorora nyore uye hubudirire kana sangano rine imwe date yokuchengetera. Zvisinei, kwete makambani ose vane mashoko yokuchengetera yakadaro. Panyaya iyi, panobva yepakutanga Data vari kushanda Databases, bhuku uye Archive zvokuvakisa, kureva kuti mashoko kubva aivapo ARI (ruzivo hurongwa).

More mashoko kungadiwa kubva EC misoro nechitarisiko uye munyika manyuko, zvakasiyana mapepa zvinyorwa, uyewo nyanzvi ruzivo uye / kana migumisiro musarudzo.

Unofanirawo kuziva kuti mune nedanho date rokugadzirira Software Developers vane kurondedzera yakawanda sezvingabvira zvinoita kuti itibatsire kwacho. Kungava Coding Data. Somuenzaniso, mumwe zvechadenga yeGmail.END_STRONG - mari pamwero, izvo kungarondedzerwa se: yakaderera chaizvo, pasi, unosvikirwa, yakakwirira, mukuru kwazvo. Muchiitiko chino, zvinokosha kuziva gradation pamwero mari.

Pakusarudza rworudyi uwandu Data vanofanira kufungawo date arayira.

Kuri kuti vari akarayira, zvinokosha kuziva kana mune kutaridza pamwaka / cyclical zvinoriumba Data. Kana havana akarayira, kureva, zvinokatyamadza kubva Database hakunei yekufamba kwenguva, ipapo mukufamba muunganidzwa vanofanira kutevedza mitemo zvinotevera:

1) vashoma zvinyorwa zviri Database zvinogona kukonzera kwezvisikwa ane rwakakwana muenzaniso;

2) rakarurama muenzaniso zvinogona nani nokuwedzera kuwanda mashoko;

3) mashoko yekare risingabatanidzwi yakatarwa;

4) algorithms kuti anoshandiswa kusika muenzaniso yakakura chaizvo Databases, vanofanira kukwanisa Zoom.