{"id":84189,"date":"2020-06-05T19:42:34","date_gmt":"2020-06-05T17:42:34","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/razvitie-data-vault-i-perehod-k-business-data-vault"},"modified":"2020-06-05T19:42:34","modified_gmt":"2020-06-05T17:42:34","slug":"razvitie-data-vault-i-perehod-k-business-data-vault","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/administrirovanie\/razvitie-data-vault-i-perehod-k-business-data-vault","title":{"rendered":"Utveckling av DATA VAULT och \u00f6verg\u00e5ng till BUSINESS DATA VAULT","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>I den tidigare artikeln beskrev jag grunderna i DATA VAULT, de centrala elementen i DATA VAULT och deras syften. \u00c4mnet DATA VAULT kan dock inte anses vara utt\u00f6mt; vi m\u00e5ste prata om n\u00e4sta steg i evolutionen av DATA VAULT.<\/p>\n<p>I denna artikel kommer jag att fokusera p\u00e5 utvecklingen av DATA VAULT och \u00f6verg\u00e5ngen till BUSINESS DATA VAULT eller helt enkelt BUSINESS VAULT.<\/p>\n<h3>Orsaker till att BUSINESS DATA VAULT uppstod.<\/h3>\n<p>\nDet \u00e4r v\u00e4rt att notera att, trots sina vissa styrkor, DATA VAULT inte \u00e4r utan brister. En av dessa brister \u00e4r sv\u00e5righeten att skriva analytiska fr\u00e5gor. Fr\u00e5gorna har ett betydande antal JOIN:ar, vilket g\u00f6r att koden blir l\u00e5ng och otymplig. Dessutom genomg\u00e5r inte data som kommer in i DATA VAULT n\u00e5gra omvandlingar, s\u00e5 ur ett aff\u00e4rsperspektiv har DATA VAULT i sitt rena skick inget ovillkorligt v\u00e4rde.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nJust f\u00f6r att \u00e5tg\u00e4rda dessa brister har metodologin DATA VAULT utvidgats med s\u00e5dana element som:<\/p>\n<ul>\n<li>PIT (point in time) tabeller;<\/li>\n<li>BRIDGE tabeller;<\/li>\n<li>PREDEFINED DERIVATIONS.<\/li>\n<\/ul>\n<p>\nL\u00e5t oss g\u00e5 igenom syftet med dessa element mer i detalj.<\/p>\n<h3>PIT tabeller<\/h3>\n<p>\nSom regel kan ett aff\u00e4rsobjekt (HUB) best\u00e5 av data med olika uppdateringsfrekvenser. Om vi till exempel talar om data som karakteriserar en person, kan vi s\u00e4ga att information om telefonnummer, adress eller e-post har en h\u00f6gre uppdateringsfrekvens \u00e4n, l\u00e5t oss s\u00e4ga, namn, passdata, civilst\u00e5nd eller k\u00f6n.<\/p>\n<p>D\u00e4rf\u00f6r, n\u00e4r vi best\u00e4mmer satelliter, b\u00f6r vi ha i \u00e5tanke deras uppdateringsfrekvens. Varf\u00f6r \u00e4r detta viktigt? <\/p>\n<p>Om vi lagrar attribut med olika uppdateringsfrekvenser i samma tabell, m\u00e5ste vi l\u00e4gga till en rad i tabellen vid varje uppdatering av det oftast f\u00f6r\u00e4ndrade attributet. F\u00f6ljaktligen \u2013 \u00f6kat behov av diskytelse och l\u00e4ngre exekveringstid f\u00f6r fr\u00e5gorna.<\/p>\n<p>Nu n\u00e4r vi har delat satelliterna efter uppdateringsfrekvens, och kan ladda data i dem oberoende, b\u00f6r vi s\u00e4kerst\u00e4lla att vi kan f\u00e5 aktuella data. B\u00e4ttre utan att anv\u00e4nda \u00f6verfl\u00f6diga JOIN:ar.<\/p>\n<p>L\u00e5t mig f\u00f6rklara, till exempel, att det kr\u00e4vs att f\u00e5 aktuell (datum f\u00f6r senaste uppdatering) information fr\u00e5n satelliter med olika uppdateringsfrekvenser. F\u00f6r detta kommer det att kr\u00e4vas inte bara att g\u00f6ra en JOIN, utan \u00e4ven att skapa flera inb\u00e4ddade f\u00f6rfr\u00e5gningar (till varje satellit som inneh\u00e5ller information) med val av den senaste uppdateringsdatum MAX(Uppdateringsdatum). Med varje ny JOIN v\u00e4xer en s\u00e5dan kod och blir snabbt sv\u00e5r att f\u00f6rst\u00e5.<\/p>\n<p>PIT-tabellen syftar till att f\u00f6renkla s\u00e5dana f\u00f6rfr\u00e5gningar, PIT-tabeller fylls samtidigt som nya data skrivs in i DATA VAULT. PIT-tabell:<\/p>\n<p><img decoding=\"async\" alt=\"Utveckling av DATA VAULT och \u00f6verg\u00e5ng till BUSINESS DATA VAULT\" src=\"\/wp-content\/uploads\/2020\/06\/f3e0c2068e075cd5fba5321c47d755fa.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nS\u00e5ledes har vi information om aktuell datakvalitet f\u00f6r alla satelliter vid varje tidpunkt. Genom att anv\u00e4nda JOINs till PIT-tabellen kan vi helt eliminera inb\u00e4ddade f\u00f6rfr\u00e5gningar, givetvis under f\u00f6ruts\u00e4ttning att PIT fylls dagligen och utan avbrott. \u00c4ven om det finns luckor i PIT kan aktuella data endast erh\u00e5llas genom att anv\u00e4nda en inb\u00e4ddad f\u00f6rfr\u00e5gan till sj\u00e4lva PIT. En inb\u00e4ddad f\u00f6rfr\u00e5gan kommer att k\u00f6ras snabbare \u00e4n inb\u00e4ddade f\u00f6rfr\u00e5gningar till varje satellit.<\/p>\n<h3>BRIDGE<\/h3>\n<p>\nTabeller av BRIDGE-typ anv\u00e4nds ocks\u00e5 f\u00f6r att f\u00f6renkla analytiska f\u00f6rfr\u00e5gningar. Men skillnaden fr\u00e5n PIT \u00e4r att de f\u00f6renklar och p\u00e5skyndar f\u00f6rfr\u00e5gningar mellan olika hubbar, l\u00e4nkar och deras satelliter.<\/p>\n<p>Tabellen inneh\u00e5ller alla n\u00f6dv\u00e4ndiga nycklar f\u00f6r alla satelliter som ofta anv\u00e4nds i f\u00f6rfr\u00e5gningar. Dessutom, om s\u00e5 kr\u00e4vs, kan hashade aff\u00e4rsnycklar kompletteras med nycklar i textformat, om namnen p\u00e5 nycklarna beh\u00f6vs f\u00f6r analys.<\/p>\n<p>Det \u00e4r s\u00e5 att utan anv\u00e4ndning av BRIDGE, i processen att h\u00e4mta data fr\u00e5n satelliter som tillh\u00f6r olika hubbar, kommer det att kr\u00e4vas att g\u00f6ra JOIN inte bara mellan satelliterna sj\u00e4lva, utan ocks\u00e5 mellan l\u00e4nkarna som f\u00f6rbinder hubbarna.<\/p>\n<p>Tilstedev\u00e6relsen eller frav\u00e6ret av BRIDGE best\u00e4ms av lagringskonfigurationen och behovet av att optimera hastigheten p\u00e5 f\u00f6rfr\u00e5gningar. Det \u00e4r sv\u00e5rt att t\u00e4nka sig ett universellt exempel p\u00e5 BRIDGE.<\/p>\n<h3>PREDEFINED DERIVATIONS<\/h3>\n<p>\nEn annan typ av objekt som n\u00e4rmar oss BUSINESS DATA VAULT \u00e4r tabeller som inneh\u00e5ller f\u00f6rber\u00e4knade indikatorer. S\u00e5dana tabeller \u00e4r verkligen viktiga f\u00f6r verksamheten, de inneh\u00e5ller information som har aggregerats enligt angivna regler och m\u00f6jligg\u00f6r relativt enkel \u00e5tkomst till den.<\/p>\n<p>Arkitekturella PREDEFINED DERIVATIONS \u00e4r inget annat \u00e4n en ytterligare satellit av en viss hub. Den, precis som en vanlig satellit, inneh\u00e5ller aff\u00e4rnyckeln och datumet f\u00f6r skapandet av posten i satelliten. Men h\u00e4r slutar likheterna. Den ytterligare sammans\u00e4ttningen av attributen f\u00f6r en s\u00e5dan \"specialiserad\" satellit best\u00e4ms av aff\u00e4rsanv\u00e4ndarna baserat p\u00e5 de mest efterfr\u00e5gade, f\u00f6rhandsber\u00e4knade indikatorerna.<\/p>\n<p>Till exempel kan en hub som inneh\u00e5ller information om en anst\u00e4lld inkludera en satellit med s\u00e5dana indikatorer som:<\/p>\n<ul>\n<li>Minimil\u00f6n;<\/li>\n<li>Maximall\u00f6n;<\/li>\n<li>Genomsnittlig l\u00f6n;<\/li>\n<li>Ackumulerat resultat av den utbetalda l\u00f6nen osv.<\/li>\n<\/ul>\n<p>\nDet \u00e4r logiskt att inkludera PREDEFINED DERIVATIONS i PIT-tabellen f\u00f6r denna hub, s\u00e5 kan man enkelt f\u00e5 datautdrag f\u00f6r anst\u00e4llda p\u00e5 ett specifikt valt datum.<\/p>\n<h3>SLUTSATSER<\/h3>\n<p>\nSom erfarenheten visar, \u00e4r anv\u00e4ndningen av DATA VAULT av aff\u00e4rsanv\u00e4ndare n\u00e5got besv\u00e4rlig av flera anledningar:<\/p>\n<ul>\n<li>Fr\u00e5gekoden \u00e4r komplex och skrymmande;<\/li>\n<li>\u00d6verfl\u00f6det av JOINs p\u00e5verkar fr\u00e5gornas prestanda;<\/li>\n<li>F\u00f6r att skriva analytiska fr\u00e5gor kr\u00e4vs en utm\u00e4rkt kunskap om lagrets struktur.<\/li>\n<\/ul>\n<p>\nF\u00f6r att f\u00f6renkla \u00e5tkomsten till data, utvidgas DATA VAULT med ytterligare objekt:<\/p>\n<ul>\n<li>PIT (point in time) tabeller;<\/li>\n<li>BRIDGE tabeller;<\/li>\n<li>PREDEFINED DERIVATIONS.<\/li>\n<\/ul>\n<p>\nI n\u00e4sta <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/505292\/\">artikeln<\/a><\/noindex> Jag planerar att ber\u00e4tta om det mest intressanta, enligt min mening, f\u00f6r dem som arbetar med BI. Jag kommer att presentera s\u00e4tt att skapa fakta- och dimensions-tabeller baserat p\u00e5 DATA VAULT.<\/p>\n<p>Materialen i artikeln \u00e4r baserade p\u00e5:<\/p>\n<ul>\n<li>P\u00e5 <noindex><a rel=\"nofollow\" href=\"https:\/\/www.vertabelo.com\/blog\/data-vault-series-the-business-data-vault\/\">publikation<\/a><\/noindex> Kenta Graziano, d\u00e4r det f\u00f6rutom detaljerade beskrivningar finns modeller;<\/li>\n<li>Boken: \u201cBuilding a Scalable Data Warehouse with DATA VAULT 2.0\u201d;<\/li>\n<li>Artikel <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/502968\/\">Grunderna i Data Vault<\/a><\/noindex>.<\/li>\n<\/ul>\n<p>K\u00e4lla: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/504214\/\">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\u0435\u0439 \u0441\u0442\u0430\u0442\u044c\u0435 \u044f \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u0430\u043b \u043e\u0431 \u043e\u0441\u043d\u043e\u0432\u0430\u0445 DATA VAULT, \u043e\u043f\u0438\u0441\u0430\u043b \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b DATA VAULT \u0438 \u0438\u0445 \u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435. \u041d\u0430 \u044d\u0442\u043e\u043c \u043d\u0435\u043b\u044c\u0437\u044f \u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0442\u0435\u043c\u0443 DATA VAULT \u0438\u0441\u0447\u0435\u0440\u043f\u0430\u043d\u043d\u043e\u0439, \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043f\u043e\u0433\u043e\u0432\u043e\u0440\u0438\u0442\u044c \u043e \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0441\u0442\u0443\u043f\u0435\u043d\u044f\u0445 \u044d\u0432\u043e\u043b\u044e\u0446\u0438\u0438 DATA VAULT. \u0418 \u0432 \u044d\u0442\u043e\u0439 \u0441\u0442\u0430\u0442\u044c\u0435 \u044f 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