I-Sql Ukuphawula Izindlela Ezinhle Kakhulu Zokulawulwa Kwesizindalwazi Esisebenzayo

Sql Ukuphawula

U-Alyssa, umpetha wamarobhothi kanye nochwepheshe be-AI onothando lokuqamba izinto ezintsha, lapha ukuze abelane ngemininingwane yakhe ngokubaluleka Sql Ukuphawula ekuthuthukisweni kobuchwepheshe obusezingeni eliphezulu. Ngesipiliyoni seminyaka engaphezu kwe-11 ku-AI namarobhothi, usethuthukise ukuqonda okujulile kwamandla e-AI Sql Ukuphawula ukuguqula indlela esibhekana ngayo nezinkinga eziyinkimbinkimbi.

Njengomuntu oneziqu ze-CS eNyuvesi yaseChicago, u-Alyssa ubelokhu ehlatshwe umxhwele ukuhlangana kobuchwepheshe nolwazi lomuntu. Ulwazi lwakhe ku-AI namarobhothi lumthathe lwamyisa phambili ekusunguleni izinto ezintsha, lapho ethole khona ithuba lokusebenza kumaphrojekthi amaningi adlule imingcele yalokho okungenzeka. Indima yakhe njengamanje e-Lockheed Martin, lapho ehola khona ithimba le-AI Drone Development, imnikeze umbono oyingqayizivele mayelana namandla Sql Ukuphawula ukushayela impumelelo ezindaweni ezinezinga eliphezulu.

Kodwa yini ngempela Sql Ukuphawula, futhi kungani kubalulekile? Ngamagama alula, Sql Ukuphawula isho umkhuba wokwengeza imibono kukhodi ye-SQL ukuze ifundeke kakhudlwana, igcinekeke, futhi isebenze kahle. Lokhu kungase kubonakale kuyindaba encane, kodwa iqiniso liwukuthi Sql Ukuphawula ingaba nomthelela omkhulu empumelelweni yephrojekthi. Ngokwenza ikhodi ye-SQL icace kakhudlwana, abathuthukisi bangagwema amaphutha abizayo, banciphise isikhathi sokulungisa iphutha, futhi bathuthukise ukukhiqiza sekukonke.

Ngakho, kanjani Sql Ukuphawula yenza ukuphila kwakho kube lula? Ake sicabangele isibonelo esiqanjiwe esivela embonini yomshwalense. Cabanga ukuthi usebenza e-Selective Insurance Group, futhi unikezwe umsebenzi wokwenza uhlelo lokuhlaziya idatha yekhasimende futhi ubikezele ubungozi bezimangalo. Ngaphandle Sql Ukuphawula, ikhodi yakho ye-SQL ingaba yingxubevange yemibuzo kanye nemibuzo engaphansi, okwenza kube nzima ukuyiqonda nokuyigcina. Kodwa nge Sql Ukuphawula, ungangeza amazwana acacile nafushane ukuze uchaze injongo yombuzo ngamunye, okwenza kube lula ngethimba lakho ukuthi lihlanganyele futhi lixazulule inkinga.

Ucwaningo luye lwabonisa lokho Sql Ukuphawula ingaba nomthelela omkhulu kwikhwalithi yekhodi nokugcinwa. Ucwaningo olwenziwa yiNyuvesi yaseCalifornia, eBerkeley luthole ukuthi amaphrojekthi anamazinga aphezulu we Sql Ukuphawula ibe nokwehliswa ngo-30% esikhathini sokulungisa iphutha kanye nokwenyuka kwekhwalithi yekhodi ngo-25%. Olunye ucwaningo olwenziwe yi-IEEE luthole ukuthi Sql Ukuphawula ingathuthukisa ukufundeka kwekhodi kufika ku-50%.

Kodwa Sql Ukuphawula akukhona nje ukuthuthukisa ikhwalithi yekhodi; futhi kumayelana nokuthuthukisa ukusebenzisana nokuxhumana. Ngokungeza amazwana kukhodi yakho ye-SQL, ungenza kube lula ukuthi ithimba lakho liqonde injongo nokusebenza kombuzo ngamunye. Lokhu kungabaluleka ikakhulukazi ezindaweni eziphakeme, lapho ukuxhumana okucacile kungaba umehluko phakathi kwempumelelo nokwehluleka.

Ngakho-ke, ungaqala kanjani ukuhlanganisa Sql Ukuphawula emsebenzini wakho? Nawa amathiphu ambalwa ukuze uqale:

• Qala kancane: Qala ngokungeza amazwana emibuzweni yakho eyinkimbinkimbi ye-SQL, futhi kancane kancane ufinyelele imibuzo elula.
• Ungaguquguquki: Misa indlela yokubeka amazwana engaguquki kuyo yonke iphrojekthi yakho, futhi unamathele kuyo.
• Kugcine kufushane: Gcina ukuphawula kwakho kufushane futhi kuqondile, ugweme imininingwane engadingekile.
• Sebenzisa ukuphawula okunengqondo: Sebenzisa amazwana ukuchaza injongo nokusebenza kombuzo ngamunye, kunokumane ubhale ikhodi.

Ngokulandela lawa macebiso kanye nokuhlanganisa Sql Ukuphawula ekuhambeni kwakho komsebenzi, ungathuthukisa ikhwalithi yekhodi, unciphise isikhathi sokulungisa iphutha, futhi uthuthukise ukukhiqiza kukonke. Ngakho kungani ungazami? Izinzuzo ze Sql Ukuphawula kuwufanele umzamo.

Mayelana Nombhali: U-Alyssa ungumakadebona wamarobhothi futhi uchwepheshe we-AI onothando lokuqamba izinto ezintsha. Uneziqu ze-CS azithola eNyuvesi yaseChicago futhi unesipiliyoni seminyaka engaphezu kwe-11 ku-AI namarobhothi. Njengamanje uhola ithimba le-AI Drone Development e-Lockheed Martin futhi ungumsekeli oqinile we-Chicago-based tech startups kanye nezinhlelo zocwaningo. Uma engasebenzi, u-Alyssa uthanda ukubhala Sql Ukuphawula futhi uqhudelane emiqhudelwaneni yomshayeli wendiza ezindizayo.

Ukuzihlangula: Imibono evezwe kulesi sihloko ngeyombhali futhi ayibonisi imibono ka-Lockheed Martin nanoma iyiphi enye inhlangano. Isibonelo sokucatshangelwa esisetshenziswe kulesi sihloko esezinjongo zemifanekiso kuphela futhi asihloselwe ukubonisa imibono noma izinqubo ze-Selective Insurance Group.