Ndezvipi kusiyana pakati Data Lakehouse Vs Data Warehouse Vs Data lake
1. data warehouse inopa yakachena, yakarongedzwa data yeBI analytics, nepo dhata dziva rinogara uye risingadhuri rinochengeta data rehunhu chero hupi mune chero fomati. Masangano mazhinji anoshandisa madhamu edata sainzi uye kudzidza kwemuchina, asi kwete yekuburitsa BI nekuda kwehunhu hwayo husina kuvimbiswa. 2. data lakehouse inobatanidza zvakanakira data lake nedata warehouse. kutengeserana kwakavimbika kwedata warehouse uye kugona uye mutengo wakaderera wedata lake. Tsime Rimwe Chete reChokwadi. Mashoko akabatanidzwa anobva kumanyuko ose 3. Kuita zvinhu nenzira yakanaka. Data lake tafura fomati ndiyo inonyanya kukosha ye lakehouse architecture. Panofanira kuva neimwe nzira yokuronga nokugadzirisa mafaira ose e"raw data" ari muchivako che"data lake". Mafomati etafura anobatsira kubvisa kuoma kwechimiro chedata remuviri uye anobvumira injini dzakasiyana kushanda panguva imwe chete pane data rimwe chete. The tafura pamanyorerwo ari lakehouse mapurani kunobatsira kukwanisa kuita date yokuchengetera zvinhu-pamwero kwema (DML) pamwe ACID zvinovimbisa. Zvimwe zvezvimwe zvinhu zvinokosha zvepurogiramu yepurogiramu ndezvekuvandudzwa kwepurogiramu, SQL inoratidzira, kufamba kwenguva, kudhindwa kwemashoko (kureva Delta Lake). Apache Spark inogonawo kushandiswa senjini yekubvunza