{"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\/ro\/blog\/administrirovanie\/razvitie-data-vault-i-perehod-k-business-data-vault","title":{"rendered":"Dezvoltarea DATA VAULT \u0219i tranzi\u021bia c\u0103tre BUSINESS DATA VAULT.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00cen articolul anterior, am discutat despre fundamentele DATA VAULT, am descris elementele de baz\u0103 ale DATA VAULT \u0219i scopul fiec\u0103ruia dintre acestea. Totu\u0219i, subiectul DATA VAULT nu este pe deplin epuizat, a\u0219a c\u0103 este necesar s\u0103 vorbim despre etapele urm\u0103toare ale evolu\u021biei DATA VAULT.<\/p>\n<p>\u00cen acest articol, m\u0103 voi concentra pe dezvoltarea DATA VAULT \u0219i trecerea la BUSINESS DATA VAULT sau, pur \u0219i simplu, BUSINESS VAULT.<\/p>\n<h3>Motivele apari\u021biei BUSINESS DATA VAULT<\/h3>\n<p>\nEste important de men\u021bionat c\u0103, de\u0219i DATA VAULT are anumite puncte forte, nu este lipsit de sl\u0103biciuni. Una dintre aceste sl\u0103biciuni este dificultatea \u00een scrierea interog\u0103rilor analitice. Interog\u0103rile con\u021bin un num\u0103r semnificativ de JOIN-uri, ceea ce face ca codul s\u0103 devin\u0103 lung \u0219i complicat. De asemenea, datele care ajung \u00een DATA VAULT nu sunt supuse niciunei transform\u0103ri, astfel c\u0103, din perspectiva afacerii, DATA VAULT \u00een forma sa pur\u0103 nu are o valoare absolut\u0103.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nPentru a elimina aceste deficien\u021be, metodologia DATA VAULT a fost extins\u0103 cu elemente precum:<\/p>\n<ul>\n<li>tabele PIT (point in time);<\/li>\n<li>tabele BRIDGE;<\/li>\n<li>DEFINI\u021bii PREDEFINITE.<\/li>\n<\/ul>\n<p>\nHaide\u021bi s\u0103 analiz\u0103m mai \u00een detaliu scopul acestor elemente.<\/p>\n<h3>Tabelele PIT<\/h3>\n<p>\n\u00cen general, un singur obiect de afaceri (HUB) poate include date cu frecven\u021be diferite de actualizare; de exemplu, c\u00e2nd vorbim despre date care caracterizeaz\u0103 o persoan\u0103, putem spune c\u0103 informa\u021biile despre num\u0103rul de telefon, adres\u0103 sau email au o frecven\u021b\u0103 de actualizare mai mare dec\u00e2t, s\u0103 zicem, numele complet, datele pa\u0219aportului, situa\u021bia familial\u0103 sau sexul.<\/p>\n<p>Prin urmare, atunci c\u00e2nd definim sateli\u021bii, trebuie s\u0103 avem \u00een vedere frecven\u021ba actualiz\u0103rilor acestora. De ce este important acest lucru? <\/p>\n<p>Dac\u0103 \u00eentr-o singur\u0103 tabel\u0103 sunt stocate atribute cu frecven\u021be diferite de actualizare, va trebui s\u0103 ad\u0103ug\u0103m o \u00eenregistrare \u00een tabel\u0103 la fiecare actualizare a celui mai frecvent modificat atribut. Ca urmare, se va cre\u0219te volumul de spa\u021biu pe disc \u0219i timpul de execu\u021bie al interog\u0103rilor.<\/p>\n<p>Acum, c\u00e2nd am \u00eemp\u0103r\u021bit sateli\u021bii \u00een func\u021bie de frecven\u021ba actualiz\u0103rii, \u0219i putem \u00eenc\u0103rca datele \u00een mod independent, este necesar s\u0103 asigur\u0103m posibilitatea de a ob\u021bine date actualizate. Mai bine, f\u0103r\u0103 a utiliza JOIN-uri excesive.<\/p>\n<p>De exemplu, este necesar\u0103 ob\u021binerea de informa\u021bii actualizate (\u00een func\u021bie de data ultimei actualiz\u0103ri) din sateli\u021bi care au frecven\u021be de actualizare diferite. Pentru aceasta, este necesar nu doar s\u0103 facem un JOIN, ci \u0219i s\u0103 cre\u0103m mai multe interog\u0103ri imbricate (pentru fiecare satelit ce con\u021bine informa\u021bii) cu alegerea datei maxime a actualiz\u0103rii MAX(Data actualiz\u0103rii). Cu fiecare nou JOIN, astfel de coduri devin mai complexe \u0219i foarte repede devin greu de \u00een\u021beles.<\/p>\n<p>Tabelul PIT are rolul de a simplifica astfel de interog\u0103ri, iar tabelele PIT se completeaz\u0103 simultan cu \u00eenscrirea de noi date \u00een DATA VAULT. Tabelul PIT:<\/p>\n<p><img decoding=\"async\" alt=\"Dezvoltarea DATA VAULT \u0219i tranzi\u021bia c\u0103tre BUSINESS DATA VAULT.\" src=\"\/wp-content\/uploads\/2020\/06\/f3e0c2068e075cd5fba5321c47d755fa.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nAstfel, avem informa\u021bii despre actualitatea datelor pentru to\u021bi sateli\u021bii la fiecare moment \u00een timp. Folosind JOIN-uri la tabelul PIT, putem exclude complet interog\u0103rile imbricate, evident cu condi\u021bia ca PIT-ul s\u0103 fie completat zilnic \u0219i f\u0103r\u0103 omisiuni. Chiar \u0219i \u00een cazul \u00een care sunt omisiuni \u00een PIT, datele actuale pot fi ob\u021binute doar folosind un singur interogare imbricat\u0103 spre \u00eensu\u0219i PIT-ul. O singur\u0103 interogare imbricat\u0103 va func\u021biona mai repede dec\u00e2t interog\u0103rile imbricate c\u0103tre fiecare satelit.<\/p>\n<h3>BRIDGE<\/h3>\n<p>\nTabelele de tip BRIDGE sunt folosite \u0219i pentru a simplifica interog\u0103rile analitice. Totu\u0219i, spre deosebire de PIT, acestea servesc la simplificarea \u0219i accelerarea interog\u0103rilor \u00eentre diferite hub-uri, link-uri \u0219i sateli\u021bii acestora.<\/p>\n<p>Tabelul con\u021bine toate cheile necesare pentru to\u021bi sateli\u021bii, care sunt adesea folosite \u00een interog\u0103ri. \u00cen plus, dac\u0103 este necesar, cheile de afaceri hash-uite pot fi completate cu chei sub form\u0103 de text, dac\u0103 denumirile cheilor sunt necesare pentru analiz\u0103.<\/p>\n<p>Faptul este c\u0103, f\u0103r\u0103 utilizarea BRIDGE, \u00een procesul de ob\u021binere a datelor din sateli\u021bi apar\u021bin\u00e2nd unor hub-uri diferite, va fi nevoie s\u0103 efectuezi JOIN nu doar \u00eentre sateli\u021bi, ci \u0219i \u00eentre link-urile care leag\u0103 hub-urile.<\/p>\n<p>Prezen\u021ba sau absen\u021ba BRIDGE este determinat\u0103 de configura\u021bia depozitului, necesitatea optimiz\u0103rii vitezei de execu\u021bie a interog\u0103rilor. Este dificil s\u0103 se g\u00e2ndeasc\u0103 la un exemplu universal pentru BRIDGE.<\/p>\n<h3>PREDEFINED DERIVATIONS<\/h3>\n<p>\nUn alt tip de obiecte care ne apropie de BUSINESS DATA VAULT sunt tabelele care con\u021bin indicatori calcula\u021bi \u00een prealabil. Aceste tabele sunt cu adev\u0103rat importante pentru afaceri, con\u021bin informa\u021bii agregate \u00een conformitate cu reguli date \u0219i permit accesul la acestea relativ simplu.<\/p>\n<p>Deriv\u0103rile PREDEFINED reprezint\u0103, de fapt, un alt satelit al unui anumit hub. La fel ca un satelit obi\u0219nuit, con\u021bine cheia de afaceri \u0219i data de formare a \u00eenregistr\u0103rii \u00een satelit. Totu\u0219i, aici se \u00eencheie asem\u0103n\u0103rile. Componen\u021ba ulterioar\u0103 a atributelor unui astfel de satelit \u201especializat\u201d este determinat\u0103 de utilizatorii de afaceri pe baza indicatorilor cei mai solicita\u021bi \u0219i calcula\u021bi anterior.<\/p>\n<p>De exemplu, un hub care con\u021bine informa\u021bii despre un angajat poate include un satelit cu astfel de indicatori, cum ar fi:<\/p>\n<ul>\n<li>Salariul minim;<\/li>\n<li>Salariul maxim;<\/li>\n<li>Salariul mediu;<\/li>\n<li>Totalul salariului acumulat etc.<\/li>\n<\/ul>\n<p>\nEste logic s\u0103 includem DERIV\u0102RILE PREDEFINED \u00een structura tabelului PIT al acestui hub, astfel \u00eenc\u00e2t s\u0103 putem ob\u021bine cu u\u0219urin\u021b\u0103 datele despre angajat la o dat\u0103 specific\u0103.<\/p>\n<h3>CONCLUZII<\/h3>\n<p>\nDup\u0103 cum arat\u0103 experien\u021ba, utilizarea DATA VAULT de c\u0103tre utilizatorii de afaceri este pu\u021bin complicat\u0103 din mai multe motive:<\/p>\n<ul>\n<li>Codul interog\u0103rilor este complex \u0219i voluminos;<\/li>\n<li>Abunden\u021ba JOIN-urilor afecteaz\u0103 viteza interog\u0103rilor;<\/li>\n<li>Pentru a scrie interog\u0103ri analitice este necesar\u0103 o cunoa\u0219tere excelent\u0103 a structurii magazinului.<\/li>\n<\/ul>\n<p>\nPentru a simplifica accesul la date, DATA VAULT se extinde cu obiecte suplimentare:<\/p>\n<ul>\n<li>tabele PIT (point in time);<\/li>\n<li>tabele BRIDGE;<\/li>\n<li>DEFINI\u021bii PREDEFINITE.<\/li>\n<\/ul>\n<p>\n\u00cen urm\u0103toarea <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/505292\/\">pe care l-a\u021bi citit<\/a><\/noindex> Voi prezenta, \u00een opinia mea, cele mai interesante aspecte pentru cei care lucreaz\u0103 cu BI. Voi ar\u0103ta metodele de creare a tabelelor \u2013 fapte \u0219i tabele \u2013 dimensiuni pe baza DATA VAULT.<\/p>\n<p>Materialele articolului se bazeaz\u0103 pe:<\/p>\n<ul>\n<li>Pe <noindex><a rel=\"nofollow\" href=\"https:\/\/www.vertabelo.com\/blog\/data-vault-series-the-business-data-vault\/\">publica\u021biei<\/a><\/noindex> Centa Graziano, care con\u021bine, pe l\u00e2ng\u0103 descrierea detaliat\u0103, schemele modelului;<\/li>\n<li>Cartea: \u201eBuilding a Scalable Data Warehouse with DATA VAULT 2.0\u201d;<\/li>\n<li>Articol <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/502968\/\">Bazele Data Vault<\/a><\/noindex>.<\/li>\n<\/ul>\n<p>Sursa: <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 5.0.2.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 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