ndedzipi mbiru shanu dzokutama kana kuti dzokuvandudza kubva mudura rapakuvamba remashoko kuenda kuimba yemazuva ano yomugungwa?
1. Zvinhu zvose. Kugadzira/kuvaka: Gadza kushandiswa kuvaka uye kuita kuchengetedzeka uye hutongi nharaunda. 2. Kuziva Mwari. Kutama kwedata: Map data structures uye marongerwo, pedzisa a mutoro wenguva imwe chete, uye kupedzisa nzira yekuwedzera mutoro. 3.ETL uye pombi dzemvura: pipeline code, orchestration, uye mabasa ari muchikamu chino. Nhanho kutama kwako nokushandisa michina uye kuenzanisa migumisiro yako nemashoko ari panzvimbo uye migumisiro inotarisirwa. 4. Analytics: Repoint mishumo uye analytics zvebhizimisi analytics uye zvabuda mubhizimisi. Kuzivisa semantic layers uye paIndaneti analytics kubudiswa (OLAP) cubes vanofanirawo dzosera kune lakehouse kuburikidza neOpen Database Connectivity (ODBC) uye Java Database Connectivity (JDBC). 5. Kuita zvinhu zvakanaka. Data science/machine learning (ML): Gadzira kubatana kumaturusi eML uye zvikwata zvesayenzi yedata.