{"id":476673,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:12","modified_gmt":"2023-09-05T11:13:12","slug":"data-migration","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-migration\/","title":{"rendered":"Veri g\u00f6\u00e7\u00fc"},"content":{"rendered":"

Veri ge\u00e7i\u015fi, veri depolama sistemleri, veri formatlar\u0131 veya bilgisayar sistemleri aras\u0131nda veri aktarma i\u015flemini ifade eder. Bu, herhangi bir sistem uygulamas\u0131, y\u00fckseltmesi veya konsolidasyonu i\u00e7in \u00f6nemli bir husustur. Veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc ve veri kayna\u011f\u0131 ve hedef depolama sistemlerinin do\u011fru i\u015fleyi\u015fini sa\u011flamak i\u00e7in genellikle otomatik ara\u00e7lar\u0131n yard\u0131m\u0131yla dikkatli planlamay\u0131 gerektirdi\u011finden BT departmanlar\u0131 i\u00e7in \u00f6nemli bir g\u00f6revdir.<\/p>\n

Veri Ta\u015f\u0131man\u0131n Do\u011fu\u015fu<\/h2>\n

Bilgisayar sistemleri faaliyete ge\u00e7ti\u011finden beri veri ge\u00e7i\u015fi gerekli bir g\u00f6rev olmu\u015ftur. Konsept ilk olarak 1960'larda delikli kart veri i\u015fleme \u00e7a\u011f\u0131nda \u015fekillendi. Sistemler geli\u015ftik\u00e7e ve geli\u015ftik\u00e7e, verileri eski sistemlerden yenilerine ta\u015f\u0131ma gereksinimi de artt\u0131.<\/p>\n

Ancak \u201cveri ge\u00e7i\u015fi\u201d terimi, 1990'lar\u0131n sonu ve 2000'lerin ba\u015f\u0131nda veri ambar\u0131n\u0131n ortaya \u00e7\u0131k\u0131\u015f\u0131yla pop\u00fclerlik kazanmaya ba\u015flad\u0131. Kurulu\u015flar, geli\u015fmi\u015f veri analizi ve i\u015f zekas\u0131 i\u00e7in farkl\u0131 kaynaklardan ve formatlardan gelen verileri tek bir birle\u015fik sistemde birle\u015ftirmeye ba\u015flad\u0131 ve bu da b\u00fcy\u00fck \u00f6l\u00e7ekli veri ge\u00e7i\u015flerini gerektirdi.<\/p>\n

Veri Ge\u00e7i\u015fini A\u00e7\u0131klamak<\/h2>\n

Veri ge\u00e7i\u015fi d\u00f6rt ana a\u015famay\u0131 i\u00e7eren karma\u015f\u0131k bir s\u00fcre\u00e7tir: planlama, \u00e7\u0131karma, temizleme ve y\u00fckleme.<\/p>\n

Planlama a\u015famas\u0131, ta\u015f\u0131nacak verilerin tan\u0131mlanmas\u0131n\u0131, bunun ne kadar s\u00fcrece\u011finin belirlenmesini, ilgili risklerin anla\u015f\u0131lmas\u0131n\u0131 ve verilerin nas\u0131l ta\u015f\u0131naca\u011f\u0131na ili\u015fkin ayr\u0131nt\u0131lar\u0131n ana hatlar\u0131n\u0131 \u00e7izmeyi i\u00e7erir.<\/p>\n

Veri \u00e7\u0131karma, mevcut sistemden veri \u00e7ekmeyi i\u00e7erir; sistem eskiyse veya \u00f6zelse bu karma\u015f\u0131k olabilir.<\/p>\n

Veri temizli\u011fi tart\u0131\u015fmas\u0131z en kritik ad\u0131md\u0131r. Bu a\u015famada veriler temizlenir ve hatalar, kopyalar veya tutars\u0131zl\u0131klar a\u00e7\u0131s\u0131ndan kontrol edilir.<\/p>\n

Son olarak y\u00fckleme a\u015famas\u0131nda veriler yeni sisteme aktar\u0131l\u0131r ve do\u011frulan\u0131r.<\/p>\n

Veri Ta\u015f\u0131man\u0131n \u0130\u00e7 Mekani\u011fi<\/h2>\n

Veri ge\u00e7i\u015fi bir dizi s\u00fcre\u00e7 ve ara\u00e7la ger\u00e7ekle\u015ftirilir. \u0130lgili veri formatlar\u0131n\u0131n, konumun ve hassasiyetin tan\u0131nd\u0131\u011f\u0131 kaynak veri tan\u0131mlamas\u0131yla ba\u015flar. Bunu, verilerin kaynaktan okundu\u011fu ve kopyaland\u0131\u011f\u0131 veri \u00e7\u0131karma i\u015flemi takip eder.<\/p>\n

Ard\u0131ndan, \u00e7\u0131kar\u0131lan verilerin yeni sistemle uyumlu bir formata d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fc\u011f\u00fc veri d\u00f6n\u00fc\u015f\u00fcm\u00fc gelir. Bu, veri temizlemeyi, do\u011frulamay\u0131 ve yeni sistemin kurallar\u0131na uygunlu\u011fun kontrol edilmesini i\u00e7erebilir.<\/p>\n

Son olarak d\u00f6n\u00fc\u015ft\u00fcr\u00fclen veriler, sistem kararl\u0131l\u0131\u011f\u0131 ve veri b\u00fct\u00fcnl\u00fc\u011f\u00fc sa\u011flanacak \u015fekilde kontroll\u00fc bir \u015fekilde yeni sisteme y\u00fcklenir. Veriler y\u00fcklendikten sonra ge\u00e7i\u015fin ba\u015far\u0131l\u0131 oldu\u011fundan ve yeni sistemin ama\u00e7land\u0131\u011f\u0131 gibi \u00e7al\u0131\u015ft\u0131\u011f\u0131ndan emin olmak i\u00e7in bir dizi test ger\u00e7ekle\u015ftirilir.<\/p>\n

Veri Ta\u015f\u0131man\u0131n Temel \u00d6zellikleri<\/h2>\n

Veri ta\u015f\u0131ma, onu g\u00fcn\u00fcm\u00fcz\u00fcn veri odakl\u0131 d\u00fcnyas\u0131nda vazge\u00e7ilmez bir s\u00fcre\u00e7 haline getiren \u00e7e\u015fitli temel \u00f6zelliklere sahiptir:<\/p>\n

    \n
  1. Veri b\u00fct\u00fcnl\u00fc\u011f\u00fc<\/strong>: Herhangi bir veri ta\u015f\u0131ma projesinin temel hedeflerinden biri, veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc koruyarak verilerin s\u00fcre\u00e7 boyunca kullan\u0131labilir ve g\u00fcvenli kalmas\u0131n\u0131 sa\u011flamakt\u0131r.<\/li>\n
  2. \u00d6l\u00e7eklenebilirlik<\/strong>: Veri ta\u015f\u0131ma \u00e7\u00f6z\u00fcmleri, b\u00fcy\u00fck miktarlarda veriyi i\u015fleyecek \u015fekilde tasarlanm\u0131\u015ft\u0131r ve b\u00fcy\u00fck \u00f6l\u00e7eklerde bile verimli, etkili ge\u00e7i\u015fe olanak tan\u0131r.<\/li>\n
  3. Otomasyon<\/strong>: Bir\u00e7ok veri ta\u015f\u0131ma i\u015flemi otomatikle\u015ftirilmi\u015ftir, bu da insan hatas\u0131 olas\u0131l\u0131\u011f\u0131n\u0131 azalt\u0131r.<\/li>\n
  4. Do\u011frulama<\/strong>: Veriler ta\u015f\u0131nd\u0131ktan sonra g\u00fc\u00e7l\u00fc bir do\u011frulama s\u00fcreci, verilerin do\u011fru bir \u015fekilde aktar\u0131ld\u0131\u011f\u0131ndan ve yeni sistemin ta\u015f\u0131nan verileri yeterince i\u015fleyebildi\u011finden emin olman\u0131z\u0131 sa\u011flar.<\/li>\n<\/ol>\n

    Veri Ta\u015f\u0131ma T\u00fcrleri<\/h2>\n

    Her biri farkl\u0131 durumlarda kullan\u0131lan ve her biri kendi karma\u015f\u0131kl\u0131k d\u00fczeyini ta\u015f\u0131yan \u00e7e\u015fitli veri ta\u015f\u0131ma t\u00fcrleri vard\u0131r:<\/p>\n

      \n
    1. Depolama Ta\u015f\u0131ma<\/strong>: Bu, verilerin bir depolama ayg\u0131t\u0131ndan veya sistemden di\u011ferine ta\u015f\u0131nmas\u0131n\u0131 i\u00e7erir.<\/li>\n
    2. Veritaban\u0131 Ta\u015f\u0131ma<\/strong>: Bu, verilerin bir veritaban\u0131 sisteminden di\u011ferine ta\u015f\u0131nmas\u0131n\u0131 i\u00e7erir.<\/li>\n
    3. Uygulama Ta\u015f\u0131ma<\/strong>: Bu, bir uygulama program\u0131n\u0131n bir ortamdan di\u011ferine ta\u015f\u0131nmas\u0131n\u0131 i\u00e7erir.<\/li>\n
    4. \u0130\u015f S\u00fcreci Ge\u00e7i\u015fi<\/strong>: Bu, i\u015f s\u00fcreci BT kaynaklar\u0131n\u0131n yeni bir donan\u0131m k\u00fcmesine ta\u015f\u0131nmas\u0131n\u0131 i\u00e7erir.<\/li>\n<\/ol>\n\n\n\n\n\n\n\n\n
      Ta\u015f\u0131ma T\u00fcr\u00fc<\/th>\nTan\u0131m<\/th>\n<\/tr>\n<\/thead>\n
      Depolama Ta\u015f\u0131ma<\/td>\nVerileri bir depolama ayg\u0131t\u0131ndan\/sisteminden di\u011ferine ta\u015f\u0131ma<\/td>\n<\/tr>\n
      Veritaban\u0131 Ta\u015f\u0131ma<\/td>\nVerileri bir veritaban\u0131 sisteminden di\u011ferine ta\u015f\u0131ma<\/td>\n<\/tr>\n
      Uygulama Ta\u015f\u0131ma<\/td>\nBir uygulama program\u0131n\u0131 bir ortamdan di\u011ferine ta\u015f\u0131ma<\/td>\n<\/tr>\n
      \u0130\u015f S\u00fcreci Ge\u00e7i\u015fi<\/td>\n\u0130\u015f s\u00fcreci BT kaynaklar\u0131n\u0131 yeni bir donan\u0131m setine ta\u015f\u0131ma<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Veri Ta\u015f\u0131man\u0131n Pratik Kullan\u0131m\u0131<\/h2>\n

      Veri ge\u00e7i\u015fi, veri merkezlerinin birle\u015ftirilmesinden, yeni sistemlerin uygulanmas\u0131na, sunucular\u0131n y\u00fckseltilmesinden bulut depolamaya ge\u00e7i\u015fe kadar \u00e7ok say\u0131da senaryoda fayda sa\u011flar. Ancak veri kayb\u0131, uzun s\u00fcreli kesinti, uyumluluk sorunlar\u0131 ve a\u015f\u0131r\u0131 \u00e7al\u0131\u015fma maliyetleri gibi sorunlar ortaya \u00e7\u0131kabilir.<\/p>\n

      \u00c7\u00f6z\u00fcmler genellikle kapsaml\u0131 planlamay\u0131, do\u011fru veri ta\u015f\u0131ma ara\u00e7lar\u0131n\u0131 kullanmay\u0131, veri yedeklemelerini sa\u011flamay\u0131, pilot \u00e7al\u0131\u015ft\u0131rmay\u0131 ger\u00e7ekle\u015ftirmeyi ve ge\u00e7i\u015f sonras\u0131 sa\u011flam testlerin yap\u0131lmas\u0131n\u0131 i\u00e7erir.<\/p>\n

      Benzer Kavramlarla Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analiz<\/h2>\n\n\n\n\n\n\n
      Veri g\u00f6\u00e7\u00fc<\/th>\nVeri Entegrasyonu<\/th>\nVeri d\u00f6n\u00fc\u015f\u00fcm\u00fc<\/th>\n<\/tr>\n<\/thead>\n
      Sistemler aras\u0131 veri aktar\u0131m\u0131<\/td>\nFarkl\u0131 kaynaklardan gelen verileri birle\u015ftirmek<\/td>\nVeri format\u0131n\u0131 de\u011fi\u015ftirme<\/td>\n<\/tr>\n
      Genellikle tek seferlik bir i\u015flem<\/td>\nDevam ediyor olabilir<\/td>\nBir kerelik veya devam eden bir s\u00fcre\u00e7 olabilir<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Veri Ta\u015f\u0131mada Gelecek Perspektifleri ve Teknolojiler<\/h2>\n

      Bulut teknolojilerinin, yapay zekan\u0131n ve makine \u00f6\u011freniminin y\u00fckseli\u015fiyle birlikte veri ge\u00e7i\u015finin daha da geli\u015fmesi bekleniyor. Yapay zekay\u0131 kullanan otomatik veri ta\u015f\u0131ma \u00e7\u00f6z\u00fcmlerinin s\u00fcreci basitle\u015ftirmesi ve insan hatalar\u0131n\u0131 azaltmas\u0131 bekleniyor. Blockchain teknolojisi, aktar\u0131m s\u00fcreci s\u0131ras\u0131nda veri g\u00fcvenli\u011fini art\u0131rarak veri ge\u00e7i\u015fini de etkileyebilir.<\/p>\n

      Proxy Sunucular\u0131 ve Veri Ta\u015f\u0131ma<\/h2>\n

      Proxy sunucular\u0131 veri ge\u00e7i\u015fi s\u0131ras\u0131nda tamamlay\u0131c\u0131 bir rol oynayabilir. B\u00fcy\u00fck veri aktar\u0131mlar\u0131 s\u0131ras\u0131nda a\u011f y\u00fcklerini dengelemeye yard\u0131mc\u0131 olabilirler ve ek bir g\u00fcvenlik katman\u0131 sunabilirler. Ayr\u0131ca, istemci uygulamalar\u0131na kesintisiz eri\u015fim sunarak ge\u00e7i\u015f s\u00fcreci s\u0131ras\u0131nda hizmet kullan\u0131labilirli\u011finin korunmas\u0131na da yard\u0131mc\u0131 olabilirler.<\/p>\n

      \u0130lgili Ba\u011flant\u0131lar<\/h2>\n
        \n
      1. IBM \u2013 Veri Ta\u015f\u0131ma Nedir<\/a><\/li>\n
      2. Microsoft Azure \u2013 Veri Ta\u015f\u0131ma<\/a><\/li>\n
      3. Oracle \u2013 Veri Ta\u015f\u0131ma<\/a><\/li>\n
      4. AWS \u2013 Veri Ta\u015f\u0131ma Hizmeti<\/a><\/li>\n<\/ol>","protected":false},"featured_media":476674,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476673","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Data Migration: An In-Depth Exploration<\/mark>","faq_items":[{"question":"What is data migration?","answer":"

        Data migration is the process of transferring data between data storage systems, data formats, or computer systems. This is a key process for any system implementation, upgrade, or consolidation, and it requires careful planning to ensure data integrity and the correct functioning of the source and target storage systems.<\/p>"},{"question":"When did the term \"data migration\" first start gaining popularity?","answer":"

        The term \"data migration\" started gaining popularity in the late 1990s and early 2000s with the advent of data warehousing. This was a time when organizations began consolidating data from disparate sources and formats into a single unified system for improved data analysis and business intelligence.<\/p>"},{"question":"What are the four primary stages of data migration?","answer":"

        The four primary stages of data migration are planning, extraction, cleansing, and loading. Planning involves identifying the data to migrate, understanding the risks, and outlining how the migration will take place. Extraction is the process of pulling data from the existing system. During cleansing, the data is cleaned and checked for errors. Loading is the final stage where the data is imported into the new system and validated.<\/p>"},{"question":"What are some key features of data migration?","answer":"

        Key features of data migration include maintaining data integrity, scalability to handle large amounts of data, automation to reduce human error, and validation to ensure the data has been accurately transferred and the new system can adequately handle the migrated data.<\/p>"},{"question":"What are the types of data migration?","answer":"

        The types of data migration include storage migration, database migration, application migration, and business process migration. Storage migration involves moving data from one storage device or system to another. Database migration involves moving data from one database system to another. Application migration involves moving an application program from one environment to another. Business process migration involves moving business process IT resources to a new set of hardware.<\/p>"},{"question":"What are some problems and solutions related to data migration?","answer":"

        Problems related to data migration can include data loss, extended downtime, compatibility issues, and overrunning costs. Solutions often involve thorough planning, using the right data migration tools, ensuring data backups, conducting a pilot run, and robust testing post-migration.<\/p>"},{"question":"How can proxy servers be used in relation to data migration?","answer":"

        Proxy servers can play a crucial role during data migration. They can help balance network loads during large data transfers and offer an additional layer of security. Furthermore, they can also help maintain service availability during the migration process, offering uninterrupted access to client applications.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476673","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476673\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/476674"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476673"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}