{"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\/cs\/blog\/administrirovanie\/razvitie-data-vault-i-perehod-k-business-data-vault","title":{"rendered":"Rozvoj DATA VAULT a p\u0159echod k BUSINESS DATA VAULT","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>V p\u0159edchoz\u00edm \u010dl\u00e1nku jsem se zm\u00ednil o z\u00e1kladech DATA VAULT, popsal hlavn\u00ed prvky DATA VAULT a jejich \u00fa\u010del. T\u00e9matu DATA VAULT v\u0161ak nelze pova\u017eovat za vy\u010derpan\u00e9; je t\u0159eba probrat dal\u0161\u00ed f\u00e1ze evoluce DATA VAULT.<\/p>\n<p>V tomto \u010dl\u00e1nku se zam\u011b\u0159\u00edm na rozvoj DATA VAULT a p\u0159echod na BUSINESS DATA VAULT nebo jednodu\u0161e BUSINESS VAULT.<\/p>\n<h3>D\u016fvody vzniku BUSINESS DATA VAULT<\/h3>\n<p>\nJe t\u0159eba zd\u016fraznit, \u017ee DATA VAULT, i kdy\u017e m\u00e1 ur\u010dit\u00e9 siln\u00e9 str\u00e1nky, nen\u00ed bez nedostatk\u016f. Jedn\u00edm z t\u011bchto nedostatk\u016f je slo\u017eitost p\u0159i psan\u00ed analytick\u00fdch dotaz\u016f. Dotazy obsahuj\u00ed zna\u010dn\u00e9 mno\u017estv\u00ed JOIN\u016f, co\u017e d\u011bl\u00e1 k\u00f3d dlouh\u00fd a ne\u0161ikovn\u00fd. Nav\u00edc data, kter\u00e1 vstupuj\u00ed do DATA VAULT, nejsou podrobena \u017e\u00e1dn\u00fdm transformac\u00edm, tak\u017ee z hlediska podnik\u00e1n\u00ed DATA VAULT v \u010dist\u00e9 podob\u011b nem\u00e1 bezpodm\u00edne\u010dnou hodnotu.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nPr\u00e1v\u011b za \u00fa\u010delem odstran\u011bn\u00ed t\u011bchto nedostatk\u016f byla metodologie DATA VAULT roz\u0161\u00ed\u0159ena o prvky jako:<\/p>\n<ul>\n<li>PIT (point in time) tabulky;<\/li>\n<li>BRIDGE tabulky;<\/li>\n<li>PREDEFINED DERIVATIONS.<\/li>\n<\/ul>\n<p>\nPoj\u010fme si podrobn\u011bji p\u0159ibl\u00ed\u017eit \u00fa\u010del t\u011bchto prvk\u016f.<\/p>\n<h3>PIT tabulky<\/h3>\n<p>\nObvykle m\u016f\u017ee m\u00edt jeden obchodn\u00ed objekt (HUB) data s r\u016fznou frekvenc\u00ed aktualizace. Nap\u0159\u00edklad pokud hovo\u0159\u00edme o \u00fadaj\u00edch charakterizuj\u00edc\u00edch \u010dlov\u011bka, m\u016f\u017eeme \u0159\u00edci, \u017ee informace o telefonn\u00edm \u010d\u00edsle, adrese nebo e-mailu maj\u00ed vy\u0161\u0161\u00ed frekvenci aktualizace ne\u017e nap\u0159\u00edklad jm\u00e9no a p\u0159\u00edjmen\u00ed, \u00fadaje o pasu, rodinn\u00e9m stavu nebo pohlav\u00ed.<\/p>\n<p>Proto p\u0159i ur\u010dov\u00e1n\u00ed satellite by se m\u011blo br\u00e1t v \u00favahu, jak \u010dasto se aktualizuj\u00ed. Pro\u010d je to d\u016fle\u017eit\u00e9? <\/p>\n<p>Pokud bychom v jedn\u00e9 tabulce uchov\u00e1vali atributy s r\u016fznou frekvenc\u00ed aktualizace, museli bychom p\u0159id\u00e1vat \u0159\u00e1dky do tabulky p\u0159i ka\u017ed\u00e9 aktualizaci nej\u010dast\u011bji m\u011bn\u011bn\u00e9ho atributu. D\u016fsledkem je n\u00e1r\u016fst objemu diskov\u00e9ho prostoru a zv\u00fd\u0161en\u00ed doby vykon\u00e1n\u00ed dotaz\u016f.<\/p>\n<p>Nyn\u00ed, kdy\u017e jsme rozd\u011blili satellite podle frekvence aktualizace a m\u016f\u017eeme do nich na\u010d\u00edtat data nez\u00e1visle, je t\u0159eba zajistit mo\u017enost z\u00edsk\u00e1v\u00e1n\u00ed aktu\u00e1ln\u00edch dat. L\u00e9pe bez zbyte\u010dn\u00fdch JOIN\u016f.<\/p>\n<p>Vysv\u011btl\u00edm, nap\u0159\u00edklad je pot\u0159eba z\u00edskat aktu\u00e1ln\u00ed (podle data posledn\u00ed aktualizace) informace z satellitech s r\u016fznou frekvenc\u00ed aktualizace. K tomu je pot\u0159eba nejen prov\u00e9st JOIN, ale tak\u00e9 vytvo\u0159it n\u011bkolik vno\u0159en\u00fdch dotaz\u016f (pro ka\u017ed\u00fd satelit obsahuj\u00edc\u00ed informace) s v\u00fdb\u011brem maxim\u00e1ln\u00edho data aktualizace MAX(Datum aktualizace). S ka\u017ed\u00fdm nov\u00fdm JOINem se tento k\u00f3d rozr\u016fst\u00e1 a velmi rychle se st\u00e1v\u00e1 slo\u017eit\u00fdm k pochopen\u00ed.<\/p>\n<p>PIT tabulka je ur\u010dena k zjednodu\u0161en\u00ed takov\u00fdch dotaz\u016f, PIT tabulky se vypl\u0148uj\u00ed sou\u010dasn\u011b se z\u00e1pisem nov\u00fdch dat do DATA VAULT. PIT tabulka:<\/p>\n<p><img decoding=\"async\" alt=\"Rozvoj DATA VAULT a p\u0159echod k BUSINESS DATA VAULT\" src=\"\/wp-content\/uploads\/2020\/06\/f3e0c2068e075cd5fba5321c47d755fa.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nT\u00edm m\u00e1me informace o aktu\u00e1lnosti dat ze v\u0161ech satellitech k jak\u00e9mukoli \u010dasov\u00e9mu okam\u017eiku. Pou\u017eit\u00edm JOIN\u016f k PIT tabulce m\u016f\u017eeme zcela vylou\u010dit vno\u0159en\u00e9 dotazy, samoz\u0159ejm\u011b za podm\u00ednky, \u017ee se PIT vypl\u0148uje ka\u017ed\u00fd den a bez v\u00fdpadk\u016f. I kdy\u017e v\u00fdpadky v PIT existuj\u00ed, lze z\u00edskat aktu\u00e1ln\u00ed data pouze pomoc\u00ed jednoho vno\u0159en\u00e9ho dotazu na samotn\u00fd PIT. Jeden vno\u0159en\u00fd dotaz bude fungovat rychleji ne\u017e vno\u0159en\u00e9 dotazy na ka\u017ed\u00fd satelit.<\/p>\n<h3>BRIDGE<\/h3>\n<p>\nTabulky typu BRIDGE jsou tak\u00e9 pou\u017e\u00edv\u00e1ny k zjednodu\u0161en\u00ed analytick\u00fdch dotaz\u016f. Rozd\u00edlem oproti PIT je, \u017ee slou\u017e\u00ed k zjednodu\u0161en\u00ed a urychlen\u00ed dotaz\u016f mezi r\u016fzn\u00fdmi huby, linkami a jejich satellitech.<\/p>\n<p>Tabulka obsahuje v\u0161echny pot\u0159ebn\u00e9 kl\u00ed\u010de pro v\u0161echny satelity, kter\u00e9 jsou \u010dasto pou\u017e\u00edv\u00e1ny v dotazech. Krom\u011b toho, v p\u0159\u00edpad\u011b pot\u0159eby mohou b\u00fdt hashovan\u00e9 business kl\u00ed\u010de dopln\u011bny kl\u00ed\u010di v textov\u00e9 podob\u011b, pokud jsou n\u00e1zvy kl\u00ed\u010d\u016f pot\u0159ebn\u00e9 pro anal\u00fdzu.<\/p>\n<p>O co jde, je, \u017ee bez pou\u017eit\u00ed BRIDGE, p\u0159i z\u00edsk\u00e1v\u00e1n\u00ed dat nach\u00e1zej\u00edc\u00edch se v satellitech pat\u0159\u00edc\u00edch r\u016fzn\u00fdm hub\u016fm, bude pot\u0159eba prov\u00e9st JOIN nejen mezi sam\u00fdmi satelity, ale i mezi linkami spojuj\u00edc\u00edmi huby.<\/p>\n<p>P\u0159\u00edtomnost nebo nep\u0159\u00edtomnost BRIDGE je ur\u010dena konfigurac\u00ed \u00falo\u017ei\u0161t\u011b a pot\u0159ebou optimalizace rychlosti prov\u00e1d\u011bn\u00ed dotaz\u016f. Obecn\u00fd p\u0159\u00edklad BRIDGE se t\u011b\u017eko vym\u00fd\u0161l\u00ed.<\/p>\n<h3>PREDEFINED DERIVATIONS<\/h3>\n<p>\nDal\u0161\u00edm typem objekt\u016f, kter\u00fd n\u00e1s p\u0159ibli\u017euje k BUSINESS DATA VAULT, jsou tabulky obsahuj\u00edc\u00ed p\u0159edem vypo\u010dten\u00e9 ukazatele. Tyto tabulky jsou opravdu d\u016fle\u017eit\u00e9 pro byznys, obsahuj\u00ed informace agregovan\u00e9 podle stanoven\u00fdch pravidel a umo\u017e\u0148uj\u00ed snadn\u00fd p\u0159\u00edstup k t\u011bmto \u00fadaj\u016fm.<\/p>\n<p>Architektonick\u00e9 PREDEFINED DERIVATIONS p\u0159edstavuj\u00ed nic jin\u00e9ho ne\u017e dal\u0161\u00ed satelit ur\u010dit\u00e9ho hubu. Stejn\u011b jako b\u011b\u017en\u00fd satelit obsahuje podnikov\u00fd kl\u00ed\u010d a datum vytvo\u0159en\u00ed z\u00e1znamu v satelitu. T\u00edm v\u0161ak podobnosti kon\u010d\u00ed. Dal\u0161\u00ed souvisej\u00edc\u00ed atributy takov\u00e9ho \u201especializovan\u00e9ho\u201c satelitu jsou ur\u010dov\u00e1ny obchodn\u00edmi u\u017eivateli na z\u00e1klad\u011b nej\u017e\u00e1dan\u011bj\u0161\u00edch, p\u0159edem vypo\u010d\u00edtan\u00fdch ukazatel\u016f.<\/p>\n<p>Nap\u0159\u00edklad hub obsahuj\u00edc\u00ed informace o zam\u011bstnanci m\u016f\u017ee zahrnovat satelit s takov\u00fdmi ukazateli, jako jsou:<\/p>\n<ul>\n<li>Minim\u00e1ln\u00ed plat;<\/li>\n<li>Maxim\u00e1ln\u00ed plat;<\/li>\n<li>Pr\u016fm\u011brn\u00fd plat;<\/li>\n<li>Kumulativn\u00ed sou\u010det vyplacen\u00e9 mzdy atd.<\/li>\n<\/ul>\n<p>\nJe logick\u00e9 zahrnout PREDEFINED DERIVATIONS do PIT tabulky tohoto stejn\u00e9ho hubu, pot\u00e9 je mo\u017en\u00e9 snadno z\u00edskat datov\u00e9 \u0159ezy o zam\u011bstnanci k v\u00fdb\u011bru konkr\u00e9tn\u00ed datum.<\/p>\n<h3>Z\u00c1V\u011aRY<\/h3>\n<p>\nJak ukazuje praxe, pou\u017e\u00edv\u00e1n\u00ed DATA VAULT obchodn\u00edmi u\u017eivateli je pon\u011bkud problematick\u00e9 z n\u011bkolika d\u016fvod\u016f:<\/p>\n<ul>\n<li>K\u00f3d dotaz\u016f je slo\u017eit\u00fd a objemn\u00fd;<\/li>\n<li>Hojnost JOIN\u2019\u016f ovliv\u0148uje rychlost dotaz\u016f;<\/li>\n<li>Pro psan\u00ed analytick\u00fdch dotaz\u016f je vy\u017eadov\u00e1no vynikaj\u00edc\u00ed znalosti struktury \u00falo\u017ei\u0161t\u011b.<\/li>\n<\/ul>\n<p>\nAby se usnadnil p\u0159\u00edstup k dat\u016fm, DATA VAULT se roz\u0161i\u0159uje o dal\u0161\u00ed objekty:<\/p>\n<ul>\n<li>PIT (point in time) tabulky;<\/li>\n<li>BRIDGE tabulky;<\/li>\n<li>PREDEFINED DERIVATIONS.<\/li>\n<\/ul>\n<p>\nV n\u00e1sleduj\u00edc\u00ed <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/505292\/\">\u010dl\u00e1nku<\/a><\/noindex> pl\u00e1nuji vypr\u00e1v\u011bt, podle m\u00e9ho n\u00e1zoru, to nejzaj\u00edmav\u011bj\u0161\u00ed pro ty, kte\u0159\u00ed pracuj\u00ed s BI. P\u0159edstav\u00edm zp\u016fsoby vytv\u00e1\u0159en\u00ed tabulek \u2013 fakt\u016f a tabulek \u2013 dimenz\u00ed na z\u00e1klad\u011b DATA VAULT.<\/p>\n<p>Materi\u00e1ly \u010dl\u00e1nku jsou zalo\u017eeny na:<\/p>\n<ul>\n<li>Na <noindex><a rel=\"nofollow\" href=\"https:\/\/www.vertabelo.com\/blog\/data-vault-series-the-business-data-vault\/\">publikaci<\/a><\/noindex> Kenta Graciana, kter\u00e1 krom\u011b podrobn\u00e9ho popisu obsahuje sch\u00e9mata modelu;<\/li>\n<li>Kniha: \u201eBuilding a Scalable Data Warehouse with DATA VAULT 2.0\u201c;<\/li>\n<li>\u010cl\u00e1nek <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/502968\/\">Z\u00e1klady Data Vault<\/a><\/noindex>.<\/li>\n<\/ul>\n<p>Zdroj: <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 \u0441\u043a\u043e\u043d\u0446\u0435\u043d\u0442\u0440\u0438\u0440\u0443\u044e\u0441\u044c \u043d\u0430 \u0440\u0430\u0437\u0432\u0438\u0442\u0438\u0438 DATA VAULT \u0438 \u043f\u0435\u0440\u0435\u0445\u043e\u0434\u0443 \u043a BUSINESS DATA VAULT \u0438\u043b\u0438 \u043f\u0440\u043e\u0441\u0442\u043e BUSINESS VAULT. \u041f\u0440\u0438\u0447\u0438\u043d\u044b \u043f\u043e\u044f\u0432\u043b\u0435\u043d\u0438\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":84190,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-84189","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta 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