{"id":36155,"date":"2019-10-31T22:09:53","date_gmt":"2019-10-31T19:09:53","guid":{"rendered":"https:\/\/prohoster.info\/blog\/kachestvo-dannyh-v-hranilishhe\/"},"modified":"2019-10-31T22:09:53","modified_gmt":"2019-10-31T19:09:53","slug":"kachestvo-dannyh-v-hranilishhe","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sv\/blog\/administrirovanie\/kachestvo-dannyh-v-hranilishhe","title":{"rendered":"Kvaliteten p\u00e5 data i lagret","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Kvaliteten p\u00e5 data i lagret \u00e4r en viktig f\u00f6ruts\u00e4ttning f\u00f6r att f\u00e5 v\u00e4rdefull information. D\u00e5lig kvalitet leder till en negativ kedjereaktion p\u00e5 l\u00e5ng sikt.<br \/>\nF\u00f6rst f\u00f6rloras f\u00f6rtroendet f\u00f6r den information som tillhandah\u00e5lls. M\u00e4nniskor b\u00f6rjar anv\u00e4nda Business Intelligence-applikationer mindre, och applikationernas potential f\u00f6rblir outnyttjad.<br \/>\nSom ett resultat ifr\u00e5gas\u00e4tts framtida investeringar i det analytiska projektet.<\/p>\n<h4>Ansvar f\u00f6r datakvalitet<\/h4>\n<p>\nAspekten som r\u00f6r f\u00f6rb\u00e4ttringen av datakvalitet \u00e4r megaviktig i BI-projekt. Men det \u00e4r inte en privilegium enbart f\u00f6r tekniska specialister.<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nFlera aspekter p\u00e5verkar datakvaliteten, s\u00e5som<\/p>\n<p><b>F\u00f6retagskultur<\/b><\/p>\n<ul>\n<li>\u00c4r de anst\u00e4llda sj\u00e4lva intresserade av att producera h\u00f6g kvalitet?<\/li>\n<li>Om inte, varf\u00f6r? Kanske finns det en intressekonflikt.<\/li>\n<li>Kanske finns det f\u00f6retagsregler som utser ansvariga f\u00f6r kvaliteten?<\/li>\n<\/ul>\n<p>\n<b>Processer<\/b><\/p>\n<ul>\n<li>Vilka data skapas i slutet av dessa kedjor?<\/li>\n<li>Kanske \u00e4r operativsystemen inst\u00e4llda s\u00e5 att man m\u00e5ste \"kr\u00e5ngla\" f\u00f6r att \u00e5terspegla vissa situationer i verkligheten.<\/li>\n<li>Genomf\u00f6r operativsystemen sj\u00e4lva kontroller och verifieringar av data?<\/li>\n<\/ul>\n<p>\nAlla i organisationen \u00e4r ansvariga f\u00f6r datakvaliteten i rapporteringssystemen.<\/p>\n<h4>Definition och betydelse<\/h4>\n<p>\nKvalitet \u00e4r den bekr\u00e4ftade tillfredsst\u00e4llelsen av kundens f\u00f6rv\u00e4ntningar.<\/p>\n<p>Men datakvalitet inneh\u00e5ller inget eget definierat. Det speglar alltid anv\u00e4ndningskontexten. Datalagret och BI-system syftar till n\u00e5got annat \u00e4n operativsystemet d\u00e4rifr\u00e5n data h\u00e4mtas.<\/p>\n<p>Till exempel kan kundattributet i operativsystemet vara ett valfritt f\u00e4lt. I lagret kan detta attribut anv\u00e4ndas som en m\u00e5ttstock och dess ifyllande \u00e4r obligatoriskt. Vilket i sin tur kr\u00e4ver att v\u00e4rden fylls i med standardv\u00e4rden.<\/p>\n<p>Krav p\u00e5 datalagret f\u00f6r\u00e4ndras st\u00e4ndigt och de \u00e4r oftast h\u00f6gre \u00e4n f\u00f6r operativsystem. Men det kan ocks\u00e5 vara tv\u00e4rtom, d\u00e4r lagret inte beh\u00f6ver spara detaljerad information fr\u00e5n operativsystemet.<\/p>\n<p>F\u00f6r att g\u00f6ra datakvalitet m\u00e4tbar m\u00e5ste dess standarder beskrivas. M\u00e4nniskor som anv\u00e4nder information och siffror i sitt arbete b\u00f6r involveras i beskrivningsprocessen. Resultatet av denna involvering kan vara en regel, som g\u00f6r att man med en blick p\u00e5 en tabell kan s\u00e4ga om det finns ett fel eller inte. Denna regel beh\u00f6ver formuleras som ett skript\/kod f\u00f6r efterf\u00f6ljande verifiering.<\/p>\n<h4>F\u00f6rb\u00e4ttring av datakvalitet<\/h4>\n<p>\nDet \u00e4r om\u00f6jligt att rensa och \u00e5tg\u00e4rda alla hypotetiska fel under inl\u00e4sning av data i lagret. God datakvalitet kan endast uppn\u00e5s genom n\u00e4ra samarbete mellan alla ber\u00f6rda parter. M\u00e4nniskor som matar in data i operativsystem beh\u00f6ver l\u00e4ra sig vilka \u00e5tg\u00e4rder som leder till fel.<\/p>\n<p>Datakvalitet \u00e4r en process. Tyv\u00e4rr har m\u00e5nga organisationer ingen strategi f\u00f6r dess st\u00e4ndiga f\u00f6rb\u00e4ttring. M\u00e5nga begr\u00e4nsar sig bara till att bevara data och utnyttjar inte hela potentialen i analysystemen. Vid utveckling av datalager g\u00e5r vanligtvis 70-80% av budgeten till att implementera dataintegration. Kontroll- och f\u00f6rb\u00e4ttringsprocessen f\u00f6rblir ofta underarbetad, om den \u00f6verhuvudtaget kvarst\u00e5r.<\/p>\n<h4>Verktyg<\/h4>\n<p>\nAnv\u00e4ndningen av programvaruverktyg kan hj\u00e4lpa till i processen f\u00f6r att automatisera f\u00f6rb\u00e4ttring och \u00f6vervakning av datakvaliteten. Till exempel kan de helt automatisera den tekniska kontrollen av lagrets struktur: f\u00e4ltformat, f\u00f6rekomst av standardv\u00e4rden, \u00f6verensst\u00e4mmelse med kraven p\u00e5 tabellernas f\u00e4ltnamn.<\/p>\n<p>Det kan vara mer komplicerat med inneh\u00e5llskontrollen. Eftersom kraven p\u00e5 lagret f\u00f6r\u00e4ndras kan \u00e4ven tolkningen av data f\u00f6r\u00e4ndras. Verktyget kan sj\u00e4lv bli ett stort projekt som kr\u00e4ver support.<\/p>\n<h4>Tips<\/h4>\n<p>\nRelationsdatabaser, d\u00e4r datalager vanligtvis designas, har den fantastiska m\u00f6jligheten att skapa vyer. Dessa kan anv\u00e4ndas f\u00f6r snabb kontroll av data, om man k\u00e4nner till inneh\u00e5lets egenskaper. Varje fall av att hitta ett fel eller problem i data kan dokumenteras i form av en databasanrop.<\/p>\n<p>P\u00e5 s\u00e5 s\u00e4tt kommer en kunskapsbas om inneh\u00e5llet att bildas. Sj\u00e4lvklart b\u00f6r s\u00e5dana f\u00f6rfr\u00e5gningar vara snabba. Vanligtvis tar underh\u00e5llet av visningar mindre tid \u00e4n verktyg som organiserats i tabeller. En vy \u00e4r alltid redo att visa resultatet av kontrollerna.<br \/>\nVid viktiga rapporter kan vyn inneh\u00e5lla en kolumn med mottagaren. Det \u00e4r meningsfullt att anv\u00e4nda samma BI-verktyg f\u00f6r att rapportera om datakvaliteten i lagret.<\/p>\n<h4>Exempel<\/h4>\n<p>\nFr\u00e5gan \u00e4r skriven f\u00f6r en Oracle-databas. I det h\u00e4r exemplet returnerar testerna ett numeriskt v\u00e4rde som kan tolkas p\u00e5 r\u00e4tt s\u00e4tt. V\u00e4rdena T_MIN och T_MAX kan reglera graden av oro. F\u00e4lten REPORT anv\u00e4ndes en g\u00e5ng som meddelande i en kommersiell ETL-produkt som inte kunde skicka e-post p\u00e5 ett v\u00e4rdigt s\u00e4tt, d\u00e4rf\u00f6r \u00e4r rpad en \"hack\".<\/p>\n<p>I fallet med en stor tabell kan man till exempel l\u00e4gga till AND ROWNUM &lt;= 10, det vill s\u00e4ga om det har uppst\u00e5tt 10 fel, \u00e4r det tillr\u00e4ckligt f\u00f6r att utl\u00f6sa oro.<\/p>\n<pre><code class=\"sql\">CREATE OR REPLACE VIEW V_QC_DIM_PRODUCT_01 AS\nSELECT\n  CASE WHEN OUTPUT&gt;=T_MIN AND OUTPUT&lt;=T_MAX\n  THEN &#039;OK&#039; ELSE &#039;ERROR&#039; END AS RESULT,\n  DESCRIPTION,\n  TABLE_NAME, \n  OUTPUT, \n  T_MIN,\n  T_MAX,\n  rpad(DESCRIPTION,60,&#039; &#039;) || rpad(OUTPUT,8,&#039; &#039;) || rpad(T_MIN,8,&#039; &#039;) || rpad(T_MAX,8,&#039; &#039;) AS REPORT\nFROM (-- Testet sj\u00e4lvt\n  SELECT\n    &#039;DIM_PRODUCT&#039; AS TABLE_NAME,\n    &#039;Antal tomma&#039; AS DESCRIPTION,\n    COUNT(*) AS OUTPUT,\n    0 AS T_MIN,\n    10 AS T_MAX\n  FROM DIM_PRODUCT\n  WHERE DIM_PRODUCT_ID != -1 -- inte standardv\u00e4rde\n  AND ATTRIBUTE IS NULL ); -- r\u00e4kna tomma\n<\/code><\/pre>\n<p>\n<i>Publiceringen inneh\u00e5ller material fr\u00e5n boken<br \/>\nRonald Bachmann, Dr. Guido Kemper<br \/>\nUt ur BI-f\u00e4llan<br \/>\nHur Business Intelligence blir framg\u00e5ngsrikt<\/i><br \/>\n<br \/>K\u00e4lla: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/post\/459682\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0432\u0430\u0436\u043d\u043e\u0439 \u043f\u0440\u0435\u0434\u043f\u043e\u0441\u044b\u043b\u043a\u043e\u0439 \u043a \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044e \u0446\u0435\u043d\u043d\u043e\u0439 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\u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0439 [&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-36155","post","type-post","status-publish","format-standard","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=\"\u041a\u0430\u0447\u0435\u0441\u0442\u0432\u043e \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0432\u0430\u0436\u043d\u043e\u0439 \u043f\u0440\u0435\u0434\u043f\u043e\u0441\u044b\u043b\u043a\u043e\u0439 \u043a \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044e \u0446\u0435\u043d\u043d\u043e\u0439 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