{"id":30082,"date":"2026-02-16T17:03:02","date_gmt":"2026-02-16T17:03:02","guid":{"rendered":"https:\/\/nekudos.com\/sap-data-volume-management\/"},"modified":"2026-02-16T17:03:16","modified_gmt":"2026-02-16T17:03:16","slug":"sap-data-volume-management","status":"publish","type":"post","link":"https:\/\/nekudos.com\/en\/sap-data-volume-management\/","title":{"rendered":"SAP Data Volume Management ile Veri Hacmini Optimize Etme"},"content":{"rendered":"

SAP Data Volume Management<\/strong><\/h1>\n
\n

Giri\u015f<\/strong><\/h3>\n

SAP Data Volume Management, SAP sistemlerindeki veri hacmini izlemek, kontrol etmek ve optimize etmek i\u00e7in kullan\u0131lan stratejik bir yakla\u015f\u0131md\u0131r. G\u00fcn\u00fcm\u00fczde h\u0131zla artan sap data volume, sistem performans\u0131n\u0131 do\u011frudan etkiler ve uygulama katman\u0131nda maliyet, g\u00fcvenlik ve \u00f6l\u00e7eklenebilirlik sorunlar\u0131na yol a\u00e7abilir. Kurumsal d\u00fczeyde etkin bir veri hacmi y\u00f6netimi, SAP altyap\u0131s\u0131n\u0131n uzun vadeli s\u00fcrd\u00fcr\u00fclebilirli\u011fi a\u00e7\u0131s\u0131ndan kritik \u00f6nem ta\u015f\u0131r.<\/p>\n

\n

SAP Data Volume Management tan\u0131m\u0131<\/strong><\/h3>\n

SAP Data Volume Management, bir SAP sisteminde \u00fcretilen, i\u015flenen ve saklanan verilerin ya\u015fam d\u00f6ng\u00fcs\u00fcn\u00fc y\u00f6neten bir metodolojidir. Ama\u00e7, yaln\u0131zca veriyi depolamak de\u011fil, ayn\u0131 zamanda gereksiz veri hacmini azaltarak sistem kaynaklar\u0131n\u0131 optimize etmektir. Bu, ar\u015fivleme (archiving), veri silme politikalar\u0131 ve veri b\u00fcy\u00fcme projeksiyonlar\u0131n\u0131n birlikte y\u00f6netildi\u011fi b\u00fct\u00fcnsel bir s\u00fcre\u00e7tir.<\/p>\n

\n

sap data volume nas\u0131l \u00e7al\u0131\u015f\u0131r<\/strong><\/h3>\n

SAP Data Volume Management, sistemdeki veri \u00fcretimini \u00f6l\u00e7\u00fcmleyerek farkl\u0131 veri t\u00fcrlerini s\u0131n\u0131fland\u0131r\u0131r ve ya\u015fam d\u00f6ng\u00fclerine g\u00f6re y\u00f6netir. Bu y\u00f6netim, veri ar\u015fivleme politikalar\u0131n\u0131n uygulanmas\u0131, izleme ara\u00e7lar\u0131n\u0131n devreye al\u0131nmas\u0131 ve veri b\u00fcy\u00fcme trendlerinin analiz edilmesiyle sa\u011flan\u0131r. <\/p>\n

Temel parametreler ve ayarlar<\/strong><\/h4>\n
    \n
  • Veri s\u0131n\u0131fland\u0131rmas\u0131:<\/strong> Transactional, master ve log veriler ayr\u0131 ayr\u0131 de\u011ferlendirilir. <\/li>\n
  • Ar\u015fivleme politikalar\u0131:<\/strong> SAP Information Lifecycle Management (ILM) veya klasik archiving \u00e7\u00f6z\u00fcmleri ile eski veriler d\u0131\u015f sistemlere ta\u015f\u0131n\u0131r. <\/li>\n
  • G\u00fcvenlik ve eri\u015fim:<\/strong> Silme veya ar\u015fivleme i\u015flemleri i\u00e7in yetkilendirme nesneleri tan\u0131mlan\u0131r. <\/li>\n
  • Veri b\u00fcy\u00fcme trendi:<\/strong> DB b\u00fcy\u00fckl\u00fc\u011f\u00fc, tablo bazl\u0131 veri art\u0131\u015f\u0131 ve g\u00fcnl\u00fck log hacimleri d\u00fczenli izlenir.<\/li>\n<\/ul>\n

    S\u0131k yap\u0131lan hatalar ve ka\u00e7\u0131nma y\u00f6ntemleri<\/strong><\/h4>\n
      \n
    • Ar\u015fivleme s\u00fcre\u00e7lerinin d\u00fczenli \u00e7al\u0131\u015fmamas\u0131 veya test edilmeksizin uygulanmas\u0131. <\/li>\n
    • Veri taban\u0131 istatistiklerinin g\u00fcncellenmemesi nedeniyle yanl\u0131\u015f kapasite planlamas\u0131. <\/li>\n
    • Kullan\u0131lmayan veri t\u00fcrlerinin tamamen silinmesi yerine sistemde pasif hale getirilmemesi.
      \nBu hatalardan ka\u00e7\u0131nmak i\u00e7in otomatik izleme raporlar\u0131 ve SAP Solution Manager DVM analizleri kullan\u0131lmal\u0131d\u0131r.<\/li>\n<\/ul>\n

      Ger\u00e7ek sistemlerde uygulama \u00f6rnekleri<\/strong><\/h4>\n

      Bir \u00fcretim \u015firketinde, ayl\u0131k operasyonel veriler 24 ay boyunca aktif tabloda tutulurken eski kay\u0131tlar ILM ile archiving sistemine ta\u015f\u0131n\u0131r. B\u00f6ylece veri taban\u0131 boyutu sabit kal\u0131r, sorgu s\u00fcreleri %40\u2019a kadar k\u0131sal\u0131r ve yedekleme s\u00fcresi ciddi oranda azal\u0131r.<\/p>\n

      \n

      Teknik a\u00e7\u0131klama (derin seviye)<\/strong><\/h3>\n

      SAP Data Volume Management, \u00fc\u00e7 ana bile\u015fenden olu\u015fan mimariye sahiptir: veri toplama, analiz ve aksiyon.
      \nSistem, SAP Solution Manager veya SAP BTP \u00fczerinde yer alan Data Volume Management uygulamalar\u0131yla veri taban\u0131 tablolar\u0131n\u0131 s\u00fcrekli analiz eder. Tablo b\u00fcy\u00fckl\u00fckleri, indeks yap\u0131lar\u0131 ve veri yo\u011funluk oranlar\u0131 belirlenir. <\/p>\n

      Sonras\u0131nda veri ya\u015fam d\u00f6ng\u00fcs\u00fc karar motoru devreye girer: hangi tablolar\u0131n ar\u015fivlenece\u011fi, hangi verilerin \u00e7evrimd\u0131\u015f\u0131 ortama ta\u015f\u0131naca\u011f\u0131 belirlenir. Bu a\u015famada archiving i\u015flemleri, SAP ArchiveLink, ILM veya d\u0131\u015f bulut depolama sistemleriyle entegre edilebilir. <\/p>\n

      Performans taraf\u0131nda, HANA veri s\u0131k\u0131\u015ft\u0131rma oranlar\u0131, delta merge i\u015flemleri ve partition y\u00f6netimi do\u011frudan sap data volume kontrol\u00fcyle ili\u015fkilidir. B\u00f6ylece veri taban\u0131 b\u00fcy\u00fcmesi \u00f6ng\u00f6r\u00fclebilir, sistem tepkimesi ve raporlama performans\u0131 kararl\u0131 hale gelir.<\/p>\n

      \n

      \u0130\u015fletmeler i\u00e7in neden kritiktir<\/strong><\/h3>\n
        \n
      • Performans:<\/strong> Azalan veri hacmi ile sorgu yan\u0131t s\u00fcreleri k\u0131sal\u0131r. <\/li>\n
      • G\u00fcvenilirlik:<\/strong> Veri tutarl\u0131l\u0131\u011f\u0131 ve geri y\u00fckleme s\u00fcre\u00e7leri daha kontrol edilebilir hale gelir. <\/li>\n
      • Maliyet:<\/strong> Depolama ve yedekleme giderleri d\u00fc\u015fer. <\/li>\n
      • \u00d6l\u00e7ekleme:<\/strong> Yeni mod\u00fcller veya BTP servisleri kolayl\u0131kla entegre edilir. <\/li>\n
      • Otomasyon:<\/strong> Archiving i\u015f planlar\u0131 otomatik hale getirilir. <\/li>\n
      • Karar alma:<\/strong> Temiz veri seti y\u00f6neticilere daha h\u0131zl\u0131 analitik sa\u011flar. <\/li>\n
      • Operasyonel verimlilik:<\/strong> Bak\u0131m pencereleri k\u0131sal\u0131r, operasyon riski azal\u0131r.<\/li>\n<\/ul>\n
        \n

        Bu kavram NeKuDos Teknoloji i\u00e7inde nas\u0131l uygulan\u0131r<\/strong><\/h3>\n

        NeKuDos Teknoloji, SAP Data Volume Management s\u00fcre\u00e7lerini dan\u0131\u015fmanl\u0131k projelerinde sistematik olarak uygular.
        \n\u0130lk ad\u0131mda mevcut SAP sisteminin veri hacmi analizi yap\u0131l\u0131r, tablo bazl\u0131 b\u00fcy\u00fcme grafikleri \u00e7\u0131kar\u0131l\u0131r. Ard\u0131ndan uygun archiving \u00e7\u00f6z\u00fcmleri tan\u0131mlan\u0131r ve otomasyon katman\u0131 BTP \u00fczerinde kurgulan\u0131r.
        \nVeri y\u00f6netimi politikalar\u0131 kurumsal bilgi ya\u015fam d\u00f6ng\u00fcs\u00fcne entegre edilir; b\u00f6ylece sistemsel b\u00fcy\u00fcme trendi uzun vadeli olarak dengeye oturtulur.<\/p>\n

        \n

        SAP dan\u0131\u015fmanlar\u0131, IT y\u00f6neticileri, CTOlar i\u00e7in ger\u00e7ek bir senaryo<\/strong><\/h3>\n
          \n
        1. Sorun:<\/strong> Bir perakende zincirinde SAP sistemi 5 TB boyuta ula\u015fm\u0131\u015f, i\u015flem kay\u0131tlar\u0131 raporlarda gecikmelere neden olmaktad\u0131r. <\/li>\n
        2. Ba\u011flam:<\/strong> Transaction log tablolar\u0131 son d\u00f6rt y\u0131ld\u0131r temizlenmemi\u015f, ar\u015fivleme stratejisi tan\u0131ml\u0131 de\u011fildir. <\/li>\n
        3. Kavram\u0131n uygulanmas\u0131:<\/strong> SAP Data Volume Management s\u00fcreciyle tablo analizi yap\u0131l\u0131r, ILM tabanl\u0131 archiving senaryosu kurgulan\u0131r. Veriler 18 ay sonras\u0131 i\u00e7in ar\u015fivlenir. <\/li>\n
        4. Sonu\u00e7:<\/strong> Sistem boyutu %35 k\u00fc\u00e7\u00fcl\u00fcr, HANA bellek kullan\u0131m\u0131 optimize edilir, backup s\u00fcresi yar\u0131 yar\u0131ya azal\u0131r. <\/li>\n
        5. \u0130\u015f etkisi:<\/strong> Kullan\u0131c\u0131lar sorgulara daha h\u0131zl\u0131 eri\u015fir, IT operasyon ekibi kaynak planlamas\u0131n\u0131 daha etkin yapar.<\/li>\n<\/ol>\n
          \n

          S\u0131k yap\u0131lan hatalar ve en iyi uygulamalar<\/strong><\/h3>\n

          Yayg\u0131n hatalar:<\/strong> <\/p>\n

            \n
          • Ar\u015fivleme \u00f6ncesi test ortamlar\u0131nda s\u00fcre\u00e7lerin sim\u00fcle edilmemesi. <\/li>\n
          • HANA s\u0131k\u0131\u015ft\u0131rma oranlar\u0131n\u0131n yanl\u0131\u015f okunarak hatal\u0131 kapasite planlamas\u0131 yap\u0131lmas\u0131. <\/li>\n
          • Saklama s\u00fcrelerinin yasal gerekliliklerle uyumlu olmamas\u0131. <\/li>\n<\/ul>\n

            En iyi uygulamalar:<\/strong> <\/p>\n

              \n
            • Archiving stratejilerini sistem g\u00fcncellemeleriyle birlikte planlamak. <\/li>\n
            • SAP DVM cockpit ve KPI\u2019lar\u0131n\u0131 d\u00fczenli izlemek. <\/li>\n
            • AI destekli izleme ara\u00e7lar\u0131yla anomali tespiti yapmak. <\/li>\n
            • BTP \u00fczerinde veri ak\u0131\u015flar\u0131n\u0131 merkezi olarak y\u00f6netmek.<\/li>\n<\/ul>\n
              \n

              Sonu\u00e7<\/strong><\/h3>\n

              SAP Data Volume Management, sadece veri azaltma y\u00f6ntemi de\u011fil, kapsaml\u0131 bir performans ve s\u00fcrd\u00fcr\u00fclebilirlik stratejisidir.
              \nDo\u011fru uyguland\u0131\u011f\u0131nda sistem kaynaklar\u0131n\u0131 serbest b\u0131rak\u0131r, maliyetleri d\u00fc\u015f\u00fcr\u00fcr ve karar s\u00fcre\u00e7lerini h\u0131zland\u0131r\u0131r.
              \nNeKuDos Teknoloji gibi dan\u0131\u015fmanl\u0131k kurulu\u015flar\u0131, bu yakla\u015f\u0131m\u0131 kurumsal veri y\u00f6netimi stratejilerine entegre ederek i\u015fletmelere teknik ve operasyonel denge kazand\u0131r\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"

              SAP Data Volume Management Giri\u015f SAP Data Volume Management, SAP sistemlerindeki veri hacmini izlemek, kontrol etmek ve optimize etmek i\u00e7in kullan\u0131lan stratejik bir yakla\u015f\u0131md\u0131r. G\u00fcn\u00fcm\u00fczde h\u0131zla artan sap data volume, sistem performans\u0131n\u0131 do\u011frudan etkiler ve uygulama katman\u0131nda maliyet, g\u00fcvenlik ve \u00f6l\u00e7eklenebilirlik sorunlar\u0131na yol a\u00e7abilir. Kurumsal d\u00fczeyde etkin bir veri hacmi y\u00f6netimi, SAP altyap\u0131s\u0131n\u0131n uzun vadeli…<\/p>","protected":false},"author":2,"featured_media":30083,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"categories":[122],"tags":[],"class_list":["post-30082","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sap","category-122","description-off"],"yoast_head":"\nSAP Data Volume Management ile Veri Hacmini Optimize Etme - NeKuDos Teknoloji<\/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:\/\/nekudos.com\/en\/sap-data-volume-management\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SAP Data Volume Management ile Veri Hacmini Optimize Etme - NeKuDos Teknoloji\" \/>\n<meta property=\"og:description\" content=\"SAP Data Volume Management Giri\u015f SAP Data Volume Management, SAP sistemlerindeki veri hacmini izlemek, kontrol etmek ve optimize etmek i\u00e7in kullan\u0131lan stratejik bir yakla\u015f\u0131md\u0131r. G\u00fcn\u00fcm\u00fczde h\u0131zla artan sap data volume, sistem performans\u0131n\u0131 do\u011frudan etkiler ve uygulama katman\u0131nda maliyet, g\u00fcvenlik ve \u00f6l\u00e7eklenebilirlik sorunlar\u0131na yol a\u00e7abilir. 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G\u00fcn\u00fcm\u00fczde h\u0131zla artan sap data volume, sistem performans\u0131n\u0131 do\u011frudan etkiler ve uygulama katman\u0131nda maliyet, g\u00fcvenlik ve \u00f6l\u00e7eklenebilirlik sorunlar\u0131na yol a\u00e7abilir. 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