Unyanzvi hwendangariro hwakasiyana sei nesayenzi yendangariro?
Data Engineering inoitika pamberi pe data science muhupenyu hwe data. Dhata dzinogona kugadzirwa kubva kunzvimbo dzakasiyana siyana uye iyi data isina kugadzirwa inogona kuve yakarongedzwa, semi yakarongedzwa kana kunyangwe isina kurongeka. Kuti mashoko aya ave nomusoro, mashoko acho anofanira kutorwa uye kushandurwa. Apa ndipo panotanga basa rokugadzira mashoko. Data engineering inobatanidza nzira yokubvisa mashoko asina kugadzirwa, kupinza mashoko muhurongwa hwakafanana nedziva remashoko, kushandura mashoko nokuda kwezvinodiwa zvebhizimisi uye pakupedzisira kuatakura mutafura. Izvi zvinowanzonzi ELT (Extract-Load-Transform). ETL (Extract-Transform-Load) inogonekawo apo kushandurwa kunoitika pamberi pechikamu chekutakura. Data Science and Analytics inhanho inotevera mukufamba kwenguva kwedata. Kana mashoko anodikanwa nokuda kwechinodikanwa chebhizimisi chaicho ava kuwanika, masayendisiti edata anoshandisa aya mashoko kumhanya mienzaniso yokudzidza kwemichina kuti awane muenzaniso wakarurama zvikurusa. Mashoko aya anowanikwa kuvasayendisiti vemashoko muchimiro chematafura. Vanoongorora mashoko vanoshandisawo mashoko aya kuti vaongorore uye vagadzire dheshibhodhi. Chaizvoizvo, upenyu hwemashoko hwaizotaridzika sezvinotevera: Raw data kubva kunzvimbo dzakasiyana-siyana -> Data Engineering -> Data Science uye Analytics