{"id":38535,"date":"2026-02-02T13:00:45","date_gmt":"2026-02-02T10:00:45","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/power-bi-ile-veri-modelleme-rehberi-yeni-baslayanlar-icin-basit-adimlar\/"},"modified":"2026-02-02T13:00:45","modified_gmt":"2026-02-02T10:00:45","slug":"power-bi-ile-veri-modelleme-rehberi-yeni-baslayanlar-icin-basit-adimlar","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/power-bi-ile-veri-modelleme-rehberi-yeni-baslayanlar-icin-basit-adimlar\/","title":{"rendered":"Power BI ile Veri Modelleme Rehberi: Yeni Ba\u015flayanlar \u0130\u00e7in Basit Ad\u0131mlar"},"content":{"rendered":"

Power BI ile Veri Modelleme Rehberi: Yeni Ba\u015flayanlar \u0130\u00e7in Basit Ad\u0131mlar<\/h2>\n

Power BI, g\u00fc\u00e7l\u00fc veri analizi ve g\u00f6rselle\u015ftirme yetenekleri sunan pop\u00fcler bir i\u015f zekas\u0131 arac\u0131d\u0131r. Ancak bu g\u00fcc\u00fcn temelinde, iyi tasarlanm\u0131\u015f bir veri modeli yatar. Veri modelleme, ham veriyi anlaml\u0131 ve kullan\u0131\u015fl\u0131 bilgilere d\u00f6n\u00fc\u015ft\u00fcrmenin anahtar\u0131d\u0131r. Bu rehber, Power BI’da veri modelleme kavramlar\u0131n\u0131, neden \u00f6nemli oldu\u011funu ve ba\u015flang\u0131\u00e7 seviyesinde nas\u0131l etkili bir model olu\u015fturabilece\u011finizi ad\u0131m ad\u0131m a\u00e7\u0131klamaktad\u0131r. Amac\u0131m\u0131z, karma\u015f\u0131k g\u00f6r\u00fcnen bu s\u00fcreci basitle\u015ftirerek Power BI yolculu\u011funuzda sa\u011flam bir temel olu\u015fturman\u0131za yard\u0131mc\u0131 olmakt\u0131r.<\/p>\n

Veri Modelleme Nedir ve Neden \u00d6nemlidir?<\/h3>\n

Veri modelleme, farkl\u0131 veri kaynaklar\u0131ndan gelen verileri bir araya getirerek aralar\u0131ndaki ili\u015fkileri tan\u0131mlama, verileri temizleme ve d\u00f6n\u00fc\u015ft\u00fcrme s\u00fcrecidir. Bu s\u00fcre\u00e7, Power BI’\u0131n raporlama ve analiz yeteneklerini en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in hayati \u00f6neme sahiptir.<\/p>\n

Veri Modellemenin Temel Amac\u0131<\/h4>\n

Veri modellemenin temel amac\u0131, karma\u015f\u0131k veri setlerini anla\u015f\u0131l\u0131r, tutarl\u0131 ve sorgulanabilir bir yap\u0131ya kavu\u015fturmakt\u0131r. Do\u011fru bir model, kullan\u0131c\u0131lar\u0131n i\u015f sorular\u0131na h\u0131zl\u0131 ve do\u011fru yan\u0131tlar bulmas\u0131n\u0131 sa\u011flar. \u00d6rne\u011fin, sat\u0131\u015f verilerini m\u00fc\u015fteri ve \u00fcr\u00fcn bilgileriyle birle\u015ftirmek, hangi \u00fcr\u00fcnlerin hangi m\u00fc\u015fteri segmentlerinde daha pop\u00fcler oldu\u011funu anlamam\u0131za yard\u0131mc\u0131 olur.<\/p>\n

Power BI Performans\u0131na Etkisi<\/h4>\n

\u0130yi tasarlanm\u0131\u015f bir veri modeli, Power BI raporlar\u0131n\u0131z\u0131n ve panolar\u0131n\u0131z\u0131n performans\u0131n\u0131 do\u011frudan etkiler. Optimize edilmi\u015f bir model, DAX (Data Analysis Expressions) sorgular\u0131n\u0131n daha h\u0131zl\u0131 \u00e7al\u0131\u015fmas\u0131n\u0131, veri yenileme s\u00fcrelerinin k\u0131salmas\u0131n\u0131 ve genel kullan\u0131c\u0131 deneyiminin iyile\u015fmesini sa\u011flar. Aksi takdirde, yava\u015f \u00e7al\u0131\u015fan raporlar ve hatal\u0131 sonu\u00e7larla kar\u015f\u0131la\u015fabilirsiniz.<\/p>\n

Raporlama ve Analiz Kalitesi<\/h4>\n

Tutarl\u0131 ve do\u011fru bir veri modeli olmadan, raporlar\u0131n\u0131z yan\u0131lt\u0131c\u0131 veya eksik bilgiler i\u00e7erebilir. Veri modelleme, veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flayarak raporlar\u0131n\u0131z\u0131n g\u00fcvenilirli\u011fini art\u0131r\u0131r. Bu da i\u015f kararlar\u0131n\u0131n daha sa\u011flam verilere dayanmas\u0131n\u0131 ve daha etkili stratejiler geli\u015ftirilmesini m\u00fcmk\u00fcn k\u0131lar.<\/p>\n

Power BI’da Veri Kaynaklar\u0131n\u0131 Ba\u011flama ve D\u00f6n\u00fc\u015ft\u00fcrme<\/h3>\n

Veri modellemenin ilk ad\u0131m\u0131, verilerinizi Power BI’a aktarmak ve onlar\u0131 analiz i\u00e7in uygun hale getirmektir. Bu s\u00fcre\u00e7 Power Query Editor (Sorgu D\u00fczenleyici) arac\u0131l\u0131\u011f\u0131yla ger\u00e7ekle\u015ftirilir.<\/p>\n

Veri Kaynaklar\u0131na Ba\u011flanma Ad\u0131mlar\u0131<\/h4>\n

Power BI, Excel dosyalar\u0131ndan SQL veritabanlar\u0131na, bulut servislerinden web API’lerine kadar bir\u00e7ok farkl\u0131 veri kayna\u011f\u0131na ba\u011flanabilir. Power BI Desktop’\u0131 a\u00e7t\u0131\u011f\u0131n\u0131zda “Veri Al” (Get Data) se\u00e7ene\u011fi ile bu kaynaklara kolayca eri\u015febilirsiniz. Ba\u011flant\u0131 kurulduktan sonra, Power Query Editor’a y\u00f6nlendirilirsiniz.<\/p>\n

\n\/\/ \u00d6rnek bir SQL Server ba\u011flant\u0131s\u0131\n\/\/ Power BI Desktop -> Get Data -> SQL Server Database\n\/\/ Server: localhost\\SQLEXPRESS\n\/\/ Database: AdventureWorksDW2019\n<\/pre>\n
<\/code><\/p>\n
Power Query ile Veri D\u00f6n\u00fc\u015ft\u00fcrme<\/h4>\n
Power Query Editor, verilerinizi temizlemek, d\u00f6n\u00fc\u015ft\u00fcrmek ve \u015fekillendirmek i\u00e7in g\u00fc\u00e7l\u00fc bir ETL (Extract, Transform, Load) arac\u0131d\u0131r. Burada s\u00fctunlar\u0131 yeniden adland\u0131rabilir, veri tiplerini de\u011fi\u015ftirebilir, sat\u0131rlar\u0131 filtreleyebilir, s\u00fctunlar\u0131 birle\u015ftirebilir veya ay\u0131rabilir, hatta karma\u015f\u0131k d\u00f6n\u00fc\u015f\u00fcmler uygulayabilirsiniz. Bu ad\u0131m, ham veriyi modellemeye haz\u0131r hale getirmek i\u00e7in kritik \u00f6neme sahiptir.<\/p>\n
    \n
  • S\u00fctunlar\u0131 Yeniden Adland\u0131rma<\/li>\n
  • Veri Tiplerini De\u011fi\u015ftirme (Metin, Say\u0131, Tarih vb.)<\/li>\n
  • Bo\u015f De\u011ferleri Doldurma veya Kald\u0131rma<\/li>\n
  • S\u00fctunlar\u0131 Birle\u015ftirme veya B\u00f6lme<\/li>\n
  • Pivot\/Unpivot \u0130\u015flemleri<\/li>\n<\/ul>\n
    Sorgu D\u00fczenleyicinin \u00d6nemi<\/h4>\n
    Sorgu D\u00fczenleyici'de yapt\u0131\u011f\u0131n\u0131z her ad\u0131m, M dili (Power Query Formula Language) kullan\u0131larak kaydedilir. Bu, d\u00f6n\u00fc\u015f\u00fcm ad\u0131mlar\u0131n\u0131z\u0131n tekrar edilebilir ve otomatik olmas\u0131n\u0131 sa\u011flar. Veri setiniz her yenilendi\u011finde, tan\u0131mlad\u0131\u011f\u0131n\u0131z t\u00fcm d\u00f6n\u00fc\u015f\u00fcmler otomatik olarak uygulan\u0131r. Bu da veri tutarl\u0131l\u0131\u011f\u0131 ve verimlilik a\u00e7\u0131s\u0131ndan b\u00fcy\u00fck avantaj sa\u011flar.<\/p>\n
    Tablolar Aras\u0131 \u0130li\u015fkileri Anlama ve Kurma<\/h3>\n
    Veri modellemenin kalbi, farkl\u0131 tablolar aras\u0131ndaki ili\u015fkileri do\u011fru bir \u015fekilde kurmakt\u0131r. Bu ili\u015fkiler, Power BI'\u0131n farkl\u0131 tablolardaki verileri bir araya getirerek anlaml\u0131 analizler yapmas\u0131n\u0131 sa\u011flar.<\/p>\n
    \u0130li\u015fki T\u00fcrleri (Bire Bir, Bire \u00c7ok, \u00c7oka \u00c7ok)<\/h4>\n
    Power BI'da \u00fc\u00e7 ana ili\u015fki t\u00fcr\u00fc bulunur:<\/p>\n
      \n
    1. Bire \u00c7ok (One-to-Many):<\/strong> En yayg\u0131n ili\u015fki t\u00fcr\u00fcd\u00fcr. Bir tablodaki tek bir kayd\u0131n di\u011fer tablodaki birden \u00e7ok kay\u0131tla ili\u015fkili oldu\u011fu durumdur. \u00d6rne\u011fin, bir M\u00fc\u015fteri tablosundaki her m\u00fc\u015fterinin, Sat\u0131\u015f tablosunda birden \u00e7ok sat\u0131\u015f\u0131 olabilir.<\/li>\n
    2. Bire Bir (One-to-One):<\/strong> Her iki tablodaki kay\u0131tlar\u0131n birbiriyle birebir e\u015fle\u015fti\u011fi durumdur. Nadiren kullan\u0131l\u0131r ve genellikle iki tablonun tek bir tabloda birle\u015ftirilebilece\u011fi anlam\u0131na gelir.<\/li>\n
    3. \u00c7oka \u00c7ok (Many-to-Many):<\/strong> Her iki tablodaki kay\u0131tlar\u0131n birbiriyle birden \u00e7ok kez ili\u015fkili olabilece\u011fi durumdur. Do\u011frudan olu\u015fturulmas\u0131 karma\u015f\u0131k olabilir ve genellikle bir k\u00f6pr\u00fc (bridge) veya birle\u015ftirme (junction) tablosu arac\u0131l\u0131\u011f\u0131yla \u00e7\u00f6z\u00fcl\u00fcr.<\/li>\n<\/ol>\n
      Kardinalite ve \u00c7apraz Filtre Y\u00f6n\u00fc<\/h4>\n
      Kardinalite:<\/strong> \u0130li\u015fkinin her iki taraf\u0131ndaki veri e\u015fle\u015fmelerinin say\u0131s\u0131n\u0131 belirtir (Bire \u00c7ok, \u00c7oka \u00c7ok vb.). Power BI genellikle do\u011fru kardinaliteyi otomatik olarak alg\u0131lar, ancak bazen manuel olarak ayarlaman\u0131z gerekebilir.<\/p>\n
      \u00c7apraz Filtre Y\u00f6n\u00fc (Cross-filter Direction):<\/strong> \u0130li\u015fkinin, filtrelerin hangi y\u00f6nde uygulanaca\u011f\u0131n\u0131 belirler. Tek y\u00f6nl\u00fc (Single) veya \u00e7ift y\u00f6nl\u00fc (Both) olabilir. \u00c7ift y\u00f6nl\u00fc ili\u015fkiler, performans sorunlar\u0131na yol a\u00e7abilece\u011finden dikkatli kullan\u0131lmal\u0131d\u0131r. Genellikle tek y\u00f6nl\u00fc (Many taraf\u0131ndan One taraf\u0131na) ili\u015fkiler tercih edilir.<\/p>\n
      \n\/\/ \u0130li\u015fki Kurulumu \u00d6rne\u011fi:\n\/\/ DimCustomer (One) ile FactSales (Many) aras\u0131nda ili\u015fki kurma\n\/\/ DimCustomer[CustomerKey] -> FactSales[CustomerKey]\n\/\/ Kardinalite: One-to-Many\n\/\/ \u00c7apraz Filtre Y\u00f6n\u00fc: Single (FactSales'ten DimCustomer'a do\u011fru filtreleme)\n<\/pre>\n
      <\/code><\/p>\n
      \u0130li\u015fki G\u00f6r\u00fcn\u00fcm\u00fcn\u00fc Kullanma<\/h4>\n
      Power BI Desktop'taki \"Model\" g\u00f6r\u00fcn\u00fcm\u00fc (Relationship View), tablolar\u0131n\u0131z\u0131 ve aralar\u0131ndaki ili\u015fkileri g\u00f6rsel olarak y\u00f6netmenizi sa\u011flar. Burada yeni ili\u015fkiler olu\u015fturabilir, mevcut ili\u015fkileri d\u00fczenleyebilir ve \u00e7apraz filtre y\u00f6nlerini ayarlayabilirsiniz. Bu g\u00f6r\u00fcn\u00fcm, modelinizin genel yap\u0131s\u0131n\u0131 anlamak i\u00e7in \u00e7ok faydal\u0131d\u0131r.<\/p>\n
      DAX ile Hesaplamal\u0131 S\u00fctunlar ve \u00d6l\u00e7\u00fcler Olu\u015fturma<\/h3>\n
      DAX (Data Analysis Expressions), Power BI'\u0131n veri modeliniz \u00fczerinde geli\u015fmi\u015f hesaplamalar yapman\u0131z\u0131 sa\u011flayan form\u00fcl dilidir. Hesaplamal\u0131 s\u00fctunlar ve \u00f6l\u00e7\u00fcler, DAX'\u0131n en temel kullan\u0131m alanlar\u0131d\u0131r.<\/p>\n
      Hesaplamal\u0131 S\u00fctunlar Ne Zaman Kullan\u0131l\u0131r?<\/h4>\n
      Hesaplamal\u0131 s\u00fctunlar, mevcut bir tabloda yeni bir s\u00fctun olu\u015fturmak istedi\u011finizde kullan\u0131l\u0131r. Her sat\u0131r i\u00e7in bir de\u011fer hesaplar ve bu de\u011ferler modelinize kaydedilir. Genellikle, mevcut s\u00fctunlardan t\u00fcretilen statik de\u011ferler (\u00f6rne\u011fin, \"Tam Ad\" veya \"Ya\u015f Grubu\") i\u00e7in tercih edilirler. Ancak, model boyutunu art\u0131rd\u0131klar\u0131 ve her veri yenilemesinde yeniden hesapland\u0131klar\u0131 i\u00e7in dikkatli kullan\u0131lmal\u0131d\u0131r.<\/p>\n
      \n\/\/ Hesaplamal\u0131 S\u00fctun \u00d6rne\u011fi: Tam Ad Olu\u015fturma\nTam Ad = [Ad] & \" \" & [Soyad]\n<\/pre>\n
      <\/code><\/p>\n
      \u00d6l\u00e7\u00fcler ve Ba\u011flam Kavram\u0131<\/h4>\n
      \u00d6l\u00e7\u00fcler (Measures), raporlarda anl\u0131k olarak hesaplanan dinamik de\u011ferlerdir. Modelinize kaydedilmezler, bunun yerine her g\u00f6rselle\u015ftirmede veya raporda talep edildi\u011finde hesaplan\u0131rlar. \u00d6l\u00e7\u00fcler, \"toplam sat\u0131\u015f\", \"ortalama kar\" veya \"y\u00fczde de\u011fi\u015fim\" gibi agregasyonlar i\u00e7in idealdir. DAX'taki en \u00f6nemli kavramlardan biri olan \"ba\u011flam\" (context), \u00f6l\u00e7\u00fclerin nas\u0131l hesapland\u0131\u011f\u0131n\u0131 belirler. Ba\u011flam, filtrelere, sat\u0131r ba\u011flam\u0131na ve ge\u00e7i\u015f ba\u011flam\u0131na g\u00f6re de\u011fi\u015fir.<\/p>\n

      \n\/\/ \u00d6l\u00e7\u00fc \u00d6rne\u011fi: Toplam Sat\u0131\u015f Miktar\u0131
      \nToplam Sat\u0131\u015f = SUM(FactSales[SalesAmount])<\/p>\n
      \/\/ \u00d6l\u00e7\u00fc \u00d6rne\u011fi: Ortalama Sat\u0131\u015f Fiyat\u0131
      \nOrt<\/p>\n","protected":false},"excerpt":{"rendered":"Power BI, g\u00fc\u00e7l\u00fc veri analizi ve g\u00f6rselle\u015ftirme yetenekleri sunan pop\u00fcler bir i\u015f zekas\u0131 arac\u0131d\u0131r. Ancak bu g\u00fcc\u00fcn temelinde, iyi tasarlanm\u0131\u015f bir …","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-38535","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nPower BI ile Veri Modelleme Rehberi: Yeni Ba\u015flayanlar \u0130\u00e7in Basit Ad\u0131mlar - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/power-bi-ile-veri-modelleme-rehberi-yeni-baslayanlar-icin-basit-adimlar\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Power BI ile Veri Modelleme Rehberi: Yeni Ba\u015flayanlar \u0130\u00e7in Basit Ad\u0131mlar\" \/>\n<meta property=\"og:description\" content=\"Power BI, g\u00fc\u00e7l\u00fc veri analizi ve g\u00f6rselle\u015ftirme yetenekleri sunan pop\u00fcler bir i\u015f zekas\u0131 arac\u0131d\u0131r. 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