{"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\/sk\/blog\/administrirovanie\/razvitie-data-vault-i-perehod-k-business-data-vault","title":{"rendered":"Rozvoj DATA VAULT a prechod na BUSINESS DATA VAULT","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>V predch\u00e1dzaj\u00facom \u010dl\u00e1nku som predstavil z\u00e1klady DATA VAULT, op\u00edsal hlavn\u00e9 prvky DATA VAULT a ich \u00fa\u010del. T\u00e9my DATA VAULT sa v\u0161ak ned\u00e1 pova\u017eova\u0165 za vy\u010derpan\u00fa, je potrebn\u00e9 hovori\u0165 o \u010fal\u0161\u00edch krokoch evol\u00facie DATA VAULT.<\/p>\n<p>A v tomto \u010dl\u00e1nku sa zameriam na rozvoj DATA VAULT a prechod k BUSINESS DATA VAULT alebo jednoducho BUSINESS VAULT.<\/p>\n<h3>D\u00f4vody vzniku BUSINESS DATA VAULT<\/h3>\n<p>\nJe potrebn\u00e9 poznamena\u0165, \u017ee DATA VAULT, hoci m\u00e1 ur\u010dit\u00e9 siln\u00e9 str\u00e1nky, nie je bez nedostatkov. Jedn\u00fdm z tak\u00fdch nedostatkov je zlo\u017eitosti pri p\u00edsan\u00ed analytick\u00fdch dopytov. Dopyty maj\u00fa zna\u010dn\u00e9 mno\u017estvo JOIN\u2019ov, k\u00f3d je dlh\u00fd a nepreh\u013eadn\u00fd. Taktie\u017e d\u00e1ta umiestnen\u00e9 do DATA VAULT nie s\u00fa podroben\u00e9 \u017eiadnym transform\u00e1ci\u00e1m, preto z poh\u013eadu podnikania m\u00e1 DATA VAULT v ako tak\u00e9 bezpodmiene\u010dn\u00fa hodnotu.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nPr\u00e1ve na odstr\u00e1nenie t\u00fdchto nedostatkov bola metodol\u00f3gia DATA VAULT roz\u0161\u00edren\u00e1 o tak\u00e9to prvky ako:<\/p>\n<ul>\n<li>PIT (point in time) tabu\u013eky;<\/li>\n<li>BRIDGE tabu\u013eky;<\/li>\n<li>PREDEFINED DERIVATIONS.<\/li>\n<\/ul>\n<p>\nPo\u010fme si podrobnej\u0161ie rozobra\u0165 \u00fa\u010del t\u00fdchto prvkov.<\/p>\n<h3>PIT tabu\u013eky<\/h3>\n<p>\nZvy\u010dajne jeden biznis objekt (HUB) m\u00f4\u017ee obsahova\u0165 d\u00e1ta s r\u00f4znou frekvenciou aktualiz\u00e1cie, napr\u00edklad, ak hovor\u00edme o \u00fadajoch charakterizuj\u00facich osobu, m\u00f4\u017eeme poveda\u0165, \u017ee inform\u00e1cie o telef\u00f3nnom \u010d\u00edsle, adrese alebo e-maili maj\u00fa vy\u0161\u0161iu frekvenciu aktualiz\u00e1cie ako povedzme, meno, \u00fadaje o pase, rodinn\u00fd stav alebo pohlavie.<\/p>\n<p>Preto, pri ur\u010dovan\u00ed satelitov, je potrebn\u00e9 ma\u0165 na pam\u00e4ti frekvenciu ich aktualiz\u00e1cie. Pre\u010do je to d\u00f4le\u017eit\u00e9? <\/p>\n<p>Ak v jednej tabu\u013eke uchov\u00e1vame atrib\u00faty s r\u00f4znou frekvenciou aktualiz\u00e1cie, bude potrebn\u00e9 prida\u0165 riadok do tabu\u013eky pri ka\u017edej aktualiz\u00e1cii naj\u010dastej\u0161ie menen\u00e9ho atrib\u00fatu. Ako d\u00f4sledok \u2013 rast objemu diskov\u00e9ho priestoru, zv\u00fd\u0161enie doby vykon\u00e1vania dopytov.<\/p>\n<p>Teraz, ke\u010f sme rozdelili satelity pod\u013ea frekvencie aktualiz\u00e1cie a m\u00f4\u017eeme do nich nahr\u00e1va\u0165 d\u00e1ta nez\u00e1visle, je potrebn\u00e9 zabezpe\u010di\u0165 pr\u00edstup k aktu\u00e1lnym d\u00e1tam. Najlep\u0161ie, bez zbyto\u010dn\u00fdch JOIN\u2019ov.<\/p>\n<p>Vysvetl\u00edm, napr\u00edklad, je potrebn\u00e9 z\u00edska\u0165 aktu\u00e1lne (pod\u013ea d\u00e1tumu poslednej aktualiz\u00e1cie) inform\u00e1cie zo satelitov, ktor\u00e9 maj\u00fa r\u00f4znu frekvenciu aktualiz\u00e1cie. Na to je potrebn\u00e9 nielen spravi\u0165 JOIN, ale aj vytvori\u0165 nieko\u013eko vnoren\u00fdch dopytov (k ka\u017ed\u00e9mu satelitu obsahuj\u00facemu inform\u00e1cie) s v\u00fdberom maxim\u00e1lneho d\u00e1tumu aktualiz\u00e1cie MAX(D\u00e1tum aktualiz\u00e1cie). S ka\u017ed\u00fdm nov\u00fdm JOIN-om sa tak\u00fdto k\u00f3d rozrast\u00e1 a ve\u013emi r\u00fdchlo sa st\u00e1va zlo\u017eit\u00fdm na pochopenie.<\/p>\n<p>PIT tabu\u013eka m\u00e1 za cie\u013e zjednodu\u0161i\u0165 tak\u00e9to dopyty, PIT tabu\u013eky sa vyp\u013a\u0148aj\u00fa z\u00e1rove\u0148 s zapisovan\u00edm nov\u00fdch \u00fadajov do DATA VAULT. PIT tabu\u013eka:<\/p>\n<p><img decoding=\"async\" alt=\"Rozvoj DATA VAULT a prechod na BUSINESS DATA VAULT\" src=\"\/wp-content\/uploads\/2020\/06\/f3e0c2068e075cd5fba5321c47d755fa.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nTakto m\u00e1me inform\u00e1cie o aktu\u00e1lnosti \u00fadajov zo v\u0161etk\u00fdch satelitov v ka\u017edom okamihu. Pou\u017eit\u00edm JOIN-ov k PIT tabu\u013eke m\u00f4\u017eeme \u00faplne vyl\u00fa\u010di\u0165 vnoren\u00e9 dopyty, samozrejme s podmienkou, \u017ee PIT sa vypl\u0148uje ka\u017ed\u00fd de\u0148 a bez prest\u00e1vok. Aj ke\u010f sa v PIT vyskytn\u00fa prest\u00e1vky, aktu\u00e1lne \u00fadaje m\u00f4\u017eeme z\u00edska\u0165 len pou\u017eit\u00edm jedn\u00e9ho vnoren\u00e9ho dopytu k samotn\u00e9mu PIT-u. Jeden vnoren\u00fd dopyt bude fungova\u0165 r\u00fdchlej\u0161ie ako vnoren\u00e9 dopyty k ka\u017ed\u00e9mu satelitu.<\/p>\n<h3>BRIDGE<\/h3>\n<p>\nTabu\u013eky typu BRIDGE sa tie\u017e pou\u017e\u00edvaj\u00fa na zjednodu\u0161enie analytick\u00fdch dopytov. Rozdielom od PIT je, \u017ee sl\u00fa\u017eia na zjednodu\u0161enie a ur\u00fdchlenie dopytov medzi r\u00f4znymi hubmi, linkami a ich satelitmi.<\/p>\n<p>Tabu\u013eka obsahuje v\u0161etky potrebn\u00e9 k\u013e\u00fa\u010de pre v\u0161etky satelity, ktor\u00e9 sa \u010dasto pou\u017e\u00edvaj\u00fa v dopytoch. Okrem toho, ak je to potrebn\u00e9, hashovan\u00e9 biznis k\u013e\u00fa\u010de m\u00f4\u017eu by\u0165 doplnen\u00e9 k\u013e\u00fa\u010dmi v textovej podobe, ak s\u00fa n\u00e1zvy k\u013e\u00fa\u010dov potrebn\u00e9 pre anal\u00fdzu.<\/p>\n<p>Ide o to, \u017ee bez pou\u017eitia BRIDGE, pri z\u00edskavan\u00ed \u00fadajov nach\u00e1dzaj\u00facich sa v satelitoch, ktor\u00e9 patria r\u00f4znym hubom, bude potrebn\u00e9 vykona\u0165 JOIN nielen samotn\u00fdch satelitov, ale aj linkov, ktor\u00e9 sp\u00e1jaj\u00fa huby.<\/p>\n<p>Pr\u00edtomnos\u0165 alebo nepr\u00edtomnos\u0165 BRIDGE je ur\u010den\u00e1 konfigur\u00e1ciou \u00falo\u017eiska a potrebou optimaliz\u00e1cie r\u00fdchlosti vykon\u00e1vania dopytov. Univerz\u00e1lny pr\u00edklad BRIDGE sa \u0165a\u017eko navrhuje.<\/p>\n<h3>PREDEFINED DERIVATIONS<\/h3>\n<p>\n\u010eal\u0161\u00edm typom objektov, ktor\u00fd n\u00e1s pribli\u017euje k BUSINESS DATA VAULT, s\u00fa tabu\u013eky obsahuj\u00face vopred vypo\u010d\u00edtan\u00e9 ukazovatele. Tak\u00e9to tabu\u013eky s\u00fa skuto\u010dne d\u00f4le\u017eit\u00e9 pre biznis, obsahuj\u00fa inform\u00e1cie, agregovan\u00e9 pod\u013ea stanoven\u00fdch pravidiel a umo\u017e\u0148uj\u00fa k nim pr\u00edstup relat\u00edvne jednoducho.<\/p>\n<p>Architektonick\u00e9 PREDEFINED DERIVATIONS predstavuj\u00fa len \u010fal\u0161\u00ed satelit ur\u010dit\u00e9ho hubu. Obsahuje, rovnako ako be\u017en\u00fd satelit, obchodn\u00fd k\u013e\u00fa\u010d a d\u00e1tum vytvorenia z\u00e1znamu v satelite. T\u00fdm to v\u0161ak podobnostiam kon\u010d\u00ed. \u010eal\u0161\u00ed sklad atrib\u00fatov tak\u00e9hoto \u201e\u0161pecializovan\u00e9ho\u201c satelitu ur\u010duj\u00fa obchodn\u00ed pou\u017e\u00edvatelia na z\u00e1klade naj\u017eiadanej\u0161\u00edch, predbe\u017ene vypo\u010d\u00edtan\u00fdch ukazovate\u013eov.<\/p>\n<p>Napr\u00edklad, hub obsahuj\u00faci inform\u00e1cie o zamestnancovi m\u00f4\u017ee obsahova\u0165 satelit s tak\u00fdmito ukazovate\u013emi, ako s\u00fa:<\/p>\n<ul>\n<li>Minim\u00e1lny plat;<\/li>\n<li>Maxim\u00e1lny plat;<\/li>\n<li>Priemern\u00fd plat;<\/li>\n<li>Kumulovan\u00fd s\u00fa\u010det vyplaten\u00fdch platov at\u010f.<\/li>\n<\/ul>\n<p>\nJe logick\u00e9, \u017ee by sa PREDEFINED DERIVATIONS malo zahrn\u00fa\u0165 do PIT tabu\u013eky tohto ist\u00e9ho hubu, \u010d\u00edm by sa bez probl\u00e9mov z\u00edskali v\u00fdseky \u00fadajov o zamestnancovi na konkr\u00e9tne zvolen\u00fd d\u00e1tum.<\/p>\n<h3>Z\u00c1VER<\/h3>\n<p>\nAko ukazuje prax, pou\u017e\u00edvanie DATA VAULT obchodn\u00fdmi pou\u017e\u00edvate\u013emi je trochu problematick\u00e9 z nieko\u013ek\u00fdch d\u00f4vodov:<\/p>\n<ul>\n<li>K\u00f3d dotazov je zlo\u017eit\u00fd a rozmern\u00fd;<\/li>\n<li>Hojnos\u0165 JOIN-ov ovplyv\u0148uje r\u00fdchlos\u0165 dotazov;<\/li>\n<li>Na p\u00edsanie analytick\u00fdch dotazov je potrebn\u00e9 v\u00fdnimo\u010dn\u00e9 poznanie \u0161trukt\u00fary \u00falo\u017eiska.<\/li>\n<\/ul>\n<p>\nAby sa zjednodu\u0161il pr\u00edstup k \u00fadajom, DATA VAULT sa roz\u0161iruje dodato\u010dn\u00fdmi objektmi:<\/p>\n<ul>\n<li>PIT (point in time) tabu\u013eky;<\/li>\n<li>BRIDGE tabu\u013eky;<\/li>\n<li>PREDEFINED DERIVATIONS.<\/li>\n<\/ul>\n<p>\nV nasleduj\u00facom <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/505292\/\">\u010dl\u00e1nku<\/a><\/noindex> Pl\u00e1nujem rozpr\u00e1va\u0165 o tom, \u010do pova\u017eujem za najzauj\u00edmavej\u0161ie, pre t\u00fdch, ktor\u00ed pracuj\u00fa s BI. Predstav\u00edm sp\u00f4soby vytv\u00e1rania tabuliek \u2013 faktov a tabuliek \u2013 dimenzi\u00ed na b\u00e1ze DATA VAULT.<\/p>\n<p>Materi\u00e1ly \u010dl\u00e1nku s\u00fa zalo\u017een\u00e9 na:<\/p>\n<ul>\n<li>Na <noindex><a rel=\"nofollow\" href=\"https:\/\/www.vertabelo.com\/blog\/data-vault-series-the-business-data-vault\/\">publik\u00e1cii<\/a><\/noindex> Kenta Graciano, kde okrem podrobn\u00e9ho popisu s\u00fa obsiahnut\u00e9 aj sch\u00e9my modelu;<\/li>\n<li>Knihe: \u201eBuilding a Scalable Data Warehouse with DATA VAULT 2.0\u201c;<\/li>\n<li>\u010cl\u00e1nok <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 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 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