{"id":84225,"date":"2020-06-06T07:42:14","date_gmt":"2020-06-06T05:42:14","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/vitriny-dannyh-data-vault"},"modified":"2020-06-06T07:42:14","modified_gmt":"2020-06-06T05:42:14","slug":"vitriny-dannyh-data-vault","status":"publish","type":"post","link":"https:\/\/prohoster.info\/lv\/blog\/administrirovanie\/vitriny-dannyh-data-vault","title":{"rendered":"Datu vitr\u012bnas DATA VAULT","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Iepriek\u0161\u0113j\u0101s <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/users\/asenterprise\/posts\/\">rakstos<\/a><\/noindex>, m\u0113s iepazin\u0101mies ar DATA VAULT pamatiem, DATA VAULT papla\u0161in\u0101\u0161anu l\u012bdz anal\u012bzei piem\u0113rotai st\u0101voklim un BUSINESS DATA VAULT izveidi. Ir pien\u0101cis laiks nosl\u0113gt s\u0113riju ar tre\u0161o rakstu.<\/p>\n<p>K\u0101 es pazi\u0146oju iepriek\u0161\u0113j\u0101 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/504214\/\">), da\u017e\u0101d\u0101s ekonomisk\u0101s sist\u0113m\u0101s \u2014 t\u0101pat k\u0101 mon\u0113tas izm\u0113\u0123in\u0101jumos \u2014 tiek nov\u0113rots zin\u0101ms likumsakar\u012bgs varb\u016bt\u012bbu izn\u0101kums izdevumiem. Un \u0161o emp\u012brisko izdevumu sadal\u012bjumu ir \u0101rk\u0101rt\u012bgi interesanti att\u0113lot k\u0101 Lorenca diagrammu (skat. ilustr\u0101ciju zem\u0101k \"Uz\u0146\u0113muma izdevumos\"). Ar da\u017e\u0101m nenoz\u012bm\u012bg\u0101m novirz\u0113m no t\u0101s aproksim\u0101cijas \u0161\u012b l\u012bkne k\u013c\u016bst par loka arku (lab\u0101 apak\u0161\u0113j\u0101 ceturksn\u012b). Pla\u0161s statistikas anal\u012bzes izdevumu sadal\u012bjum\u0101 liecina par augstu loka arkas reproduc\u0113jam\u012bbu da\u017e\u0101d\u0101s ekonomikas jom\u0101s (atkal skat. iepriek\u0161\u0113jo publik\u0101ciju). Un eso\u0161\u0101 izdevumu sadal\u012bjuma tuv\u012bba \u0161im etalona \u013cauj spriest par apspriest\u0101s ekonomisk\u0101s sist\u0113mas \"vesel\u012bbu\". Ar \"vesel\u012bbu\" \u0161eit j\u0101saprot sist\u0113mas izdz\u012bvo\u0161ana un t\u0101s att\u012bst\u012bbas sp\u0113ja.<\/a><\/noindex>, \u0161is raksts b\u016bs velt\u012bts BI t\u0113mai, prec\u012bz\u0101k, DATA VAULT sagatavo\u0161anai k\u0101 datu avotam BI. Apskat\u012bsim, k\u0101 izveidot faktu un dimensiju tabulas, un t\u0101d\u0113j\u0101di izveidot zvaig\u017e\u0146u sh\u0113mu.<\/p>\n<p>Kad es s\u0101ku p\u0113t\u012bt angliski rakst\u012btos materi\u0101lus par datu vitr\u012bnu izveidi virs DATA VAULT, man rad\u0101s iespaids par procesa sare\u017e\u0123\u012bt\u012bbu. T\u0101 k\u0101 raksti ir iespaid\u012bga apjoma, tur ir atsauces uz formul\u0113jumu izmai\u0146\u0101m, kas radu\u0161\u0101s Data Vault 2.0 metodolo\u0123ij\u0101, tiek nor\u0101d\u012bta \u0161o formul\u0113jumu noz\u012bm\u012bgums. <\/p>\n<p>Tom\u0113r, padzi\u013cinoties tulkojum\u0101, k\u013cuva skaidrs, ka \u0161is process nav tik sare\u017e\u0123\u012bts. Bet, iesp\u0113jams, jums b\u016bs cita viedok\u013ca.<\/p>\n<p>T\u0101tad, \u0137eramies pie lietas.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>Dimensiju un faktu tabulas DATA VAULT<\/h3>\n<p>\nVisgr\u016bt\u0101k saprotam\u0101 inform\u0101cija:<\/p>\n<ul>\n<li>Dimensiju tabulas veidojas, pamatojoties uz hubu un to satel\u012btu inform\u0101ciju;<\/li>\n<li>Faktu tabulas balst\u0101s uz linku un to satel\u012btu inform\u0101ciju.<\/li>\n<\/ul>\n<p>\nUn tas ir ac\u012bmredzami, p\u0113c raksta izlas\u012b\u0161anas par <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/502968\/\">DATA VAULT pamatiem<\/a><\/noindex>. Hubi glab\u0101 unik\u0101los biznesa objektu atsl\u0113gas, to satel\u012bti glab\u0101 biznesa objektu atrib\u016btu st\u0101vok\u013cus, kas piesaist\u012bti laikam, satel\u012bti, kas piesaist\u012bti linkiem, kas atbalsta transakcijas, glab\u0101 \u0161o transakciju skaitlisk\u0101s \u012bpa\u0161\u012bbas.<\/p>\n<p>Uz \u0161o teorija, princip\u0101, beidzas.<\/p>\n<p>Bet, manupr\u0101t, ir nepiecie\u0161ams atz\u012bm\u0113t da\u017eas j\u0113dzienus, kas var par\u0101d\u012bties rakstos par DATA VAULT metodolo\u0123iju:<\/p>\n<ul>\n<li>Raw Data Marts \u2013 \u201cneapstr\u0101d\u0101to\u201d datu vitr\u012bnas;<\/li>\n<li>Information Marts \u2013 inform\u0101cijas vitr\u012bnas.<\/li>\n<\/ul>\n<p>\nJ\u0113dziens \u201cRaw Data Marts\u201d noz\u012bm\u0113 vitr\u012bnas, kas veidotas, pamatojoties uz DATA VAULT datiem, veicot sal\u012bdzino\u0161i vienk\u0101r\u0161us JOIN'us. Raw Data Marts pieeja \u013cauj elast\u012bgi un \u012bs\u0101 laik\u0101 papla\u0161in\u0101t projektu ar inform\u0101ciju, kas piem\u0113rota anal\u012bzei. \u0160\u0101da pieeja nenoz\u012bm\u0113 sare\u017e\u0123\u012btu datu transform\u0101ciju veik\u0161anu un biznesa noteikumu izpildi pirms ievieto\u0161anas vitr\u012bn\u0101, tom\u0113r \u201cRaw Data Marts\u201d dati ir j\u0101b\u016bt saprotamiem biznesa lietot\u0101jam un kalpo k\u0101 b\u0101ze turpm\u0101kai transform\u0101cijai, piem\u0113ram, BI r\u012bku pal\u012bdz\u012bbu.<\/p>\n<p>Koncepts \u201cInformation Marts\u201d rad\u0101s Data Vault 2.0 metodolo\u0123ij\u0101, aizst\u0101jot iepriek\u0161\u0113jo terminu \u201cData Marts\u201d. \u0160\u012b izmai\u0146a ir saist\u012bta ar izpratni par datu mode\u013ca \u012bsteno\u0161anas uzdevuma nepiecie\u0161am\u012bbu, lai veidotu p\u0101rskatus k\u0101 datu p\u0101rv\u0113r\u0161anu inform\u0101cij\u0101. \u201cInformation Marts\u201d sh\u0113mai prim\u0101ri j\u0101nodro\u0161ina uz\u0146\u0113mumam l\u0113mumiem pie\u0146em\u0161anai der\u012bga inform\u0101cija.<\/p>\n<p>Pietiekami v\u0101rdiski defin\u0113jumi atspogu\u013co divus vienk\u0101r\u0161us faktus:<\/p>\n<ol>\n<li>T\u012bkla veidi \u201cRaw Data Marts\u201d tiek veidoti uz neapstr\u0101d\u0101tiem (RAW) DATA VAULT, glab\u0101\u0161an\u0101 ietilpst tikai pamattermini: HUBS, LINKS, SATELLITES;<\/li>\n<li>T\u012bkla \u201cInformation Marts\u201d tiek veidoti, izmantojot biznesa vault elementus: PIT, BRIDGE.<\/li>\n<\/ol>\n<p>\nJa \u0146emam piem\u0113ru par darbinieka inform\u0101cijas glab\u0101\u0161anu, var teikt, ka t\u012bklas, kas att\u0113lo pa\u0161reiz\u0113jo (der\u012bgo uz \u0161odienu) darbinieka t\u0101lru\u0146a numuru \u2013 tas ir typa \u201cRaw Data Marts\u201d. \u0160\u0101da t\u012bkla veido\u0161anai tiek izmantots darbinieka biznesa atsl\u0113ga un MAX() funkcija, ko izmanto datu atrib\u016btu augstnes datu slodzes datum\u0101 (MAX(SatLoadDate)). Kad ir nepiecie\u0161ams uzglab\u0101t v\u0113sturi, ja main\u0101s atrib\u016bta v\u0113rt\u012bba t\u012bkl\u0101 - j\u0101zina, no k\u0101da l\u012bdz kuram datumam t\u0101lrunis bija der\u012bgs, prim\u0101r\u0101 atsl\u0113ga \u0161\u0101dai tabulai b\u016bs biznesa atsl\u0113gas un augstnes datu slodzes datuma kombin\u0101cija, k\u0101 ar\u012b perioda beigu datuma lauks.<\/p>\n<p>T\u012bkla izveido\u0161ana, kur glab\u0101jas aktu\u0101la inform\u0101cija par katru atrib\u016btu no vair\u0101kiem augst\u0146iem, kas ietilpst hub\u0101, piem\u0113ram, t\u0101lru\u0146a numurs, adrese, v\u0101rds un uzv\u0101rds, prasa PIT tabulas izmanto\u0161anu, ar kuras pal\u012bdz\u012bbu viegli ieg\u016bt visas der\u012bguma datumu. \u0160\u0101du t\u012bklu klasific\u0113 k\u0101 \u201cInformation Marts\u201d.<\/p>\n<p>Abi pieejas ir aktu\u0101las gan m\u0113riem, gan faktiem. <\/p>\n<p>Lai izveidotu t\u012bklus, kas glab\u0101 inform\u0101ciju par vair\u0101kiem linkiem un hubiem, var tikt izmantota BRIDGE tabulu pieeja.<\/p>\n<p>Ar \u0161o rakstu es nosl\u0113dz\u0113ju ciklu par DATA VAULT koncepciju, ceru, ka inform\u0101cija, kuru esmu sniedzis, b\u016bs noder\u012bga j\u016bsu projektu \u012bsteno\u0161an\u0101.<\/p>\n<p>K\u0101 vienm\u0113r, nosl\u0113gum\u0101, p\u0101ris noder\u012bgas saites:<\/p>\n<ul>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/www.vertabelo.com\/blog\/data-vault-series-building-an-information-mart-with-your-data-vault\/\">Raksts<\/a><\/noindex> Kenta Graciano, kur\u0101 papildus detaliz\u0113tam aprakstam ir iek\u013cautas mode\u013ca sh\u0113mas;<\/li>\n<\/ul>\n<p><\/p>\n<ul>\n<li>Gr\u0101mata: \u201cBuilding a Scalable Data Warehouse with DATA VAULT 2.0\u201d;<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/502968\/\">Raksts \u201cData Vault pamati\u201d<\/a><\/noindex>;<\/li>\n<li><noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/504214\/\">Raksts \u201cDATA VAULT att\u012bst\u012bba un p\u0101reja uz BUSINESS DATA VAULT\u201d<\/a><\/noindex>.<\/li>\n<\/ul>\n<p>Avots: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/505292\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0445 \u0441\u0442\u0430\u0442\u044c\u044f\u0445, \u043c\u044b \u043f\u043e\u0437\u043d\u0430\u043a\u043e\u043c\u0438\u043b\u0438\u0441\u044c \u0441 \u043e\u0441\u043d\u043e\u0432\u0430\u043c\u0438 DATA VAULT, \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u0435\u043c DATA VAULT \u0434\u043e \u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0435\u0433\u043e \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u044f \u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0435\u043c BUSINESS DATA VAULT. \u041d\u0430\u0441\u0442\u0430\u043b\u043e \u0432\u0440\u0435\u043c\u044f \u0437\u0430\u0432\u0435\u0440\u0448\u0430\u0442\u044c \u0441\u0435\u0440\u0438\u044e \u0442\u0440\u0435\u0442\u044c\u0435\u0439 \u0441\u0442\u0430\u0442\u044c\u0435\u0439. \u041a\u0430\u043a \u044f \u0430\u043d\u043e\u043d\u0441\u0438\u0440\u043e\u0432\u0430\u043b \u0432 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u0439 \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438, \u044d\u0442\u0430 \u0441\u0442\u0430\u0442\u044c\u044f \u0431\u0443\u0434\u0435\u0442 \u043f\u043e\u0441\u0432\u044f\u0449\u0435\u043d\u0430 \u0442\u0435\u043c\u0435 BI, \u0430 \u0442\u043e\u0447\u043d\u0435\u0435 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0435 DATA VAULT \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0434\u043b\u044f BI. \u0420\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c, \u043a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-84225","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.5 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0445 \u0441\u0442\u0430\u0442\u044c\u044f\u0445, \u043c\u044b \u043f\u043e\u0437\u043d\u0430\u043a\u043e\u043c\u0438\u043b\u0438\u0441\u044c \u0441 \u043e\u0441\u043d\u043e\u0432\u0430\u043c\u0438 DATA VAULT, \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u0438\u0435\u043c DATA VAULT \u0434\u043e \u0431\u043e\u043b\u0435\u0435 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