Nowadays,　with　the　development　and　maturity　of　big　data　technology,　big　data　analysis　technology　is　more　and　more　widely　used　in　practice,　and　more　and　more　data　are　gradually　applied　to　the　smart　grid　of　our　country.　Since　the　data　in　the　smart　grid　meets　the　4V　characteristics　of　big　data　(large　quantity,　fast　speed,　many　types,　low　value　density),　the　use　of　big　data　technology　can　provide　more　accurate　and　cheaper　data　for　power　information　generation　Economic　value　and　significance.　Through　the　analysis　of　the　development　process　of　Chinas　power　industry,　the　development　of　distribution　network　in　China　obviously　lags　behind　the　development　of　power　generation　and　transmission　network.　At　present,　more　than　95%　of　the　blackouts　are　caused　by　the　distribution　network,　and　half　of　the　power　loss　occurs　in　the　distribution　network,　so　the　automation　of　the　distribution　network　system　urgently　needs　the　support　of　new　technologies.　This　paper　first　enumerates　several　key　points　of　big　data　technology,　including　big　data　collection,　storage　and　analysis,　and　then　expounds　several　methods　of　big　data　analysis.　On　this　basis,　big　data　technology　is　applied　to　the　field　of　intelligent　distribution　network.　Especially　in　the　application　of　distribution　forecasting,　it　can　provide　more　powerful　technical　support　for　the　operation　of　smart　distribution　network,　continuously　improve　the　technical　level　of　Chinas　smart　distribution　network,　and　promote　the　optimization　and　upgrading　of　smart　grid　system.　Finally,　an　optimized　prediction　model　is　proposed,　and　the　application　of　the　new　technology　(5G　technology)　developed　at　the　present　stage　is　prospected,　and　its　contribution　to　the　data　acquisition　and　application　of　big　data　technology　is　analyzed.　©　2021,　The　Editor(s)　(if　applicable)　and　The　Author(s),　under　exclusive　license　to　Springer　Nature　Switzerland　AG.