{"id":477126,"date":"2023-08-09T09:07:44","date_gmt":"2023-08-09T09:07:44","guid":{"rendered":""},"modified":"2023-10-30T16:50:08","modified_gmt":"2023-10-30T16:50:08","slug":"etl-extract-transform-load","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/etl-extract-transform-load\/","title":{"rendered":"ETL (\u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme)"},"content":{"rendered":"

ETL, farkl\u0131 veri kaynaklar\u0131ndan verilerin \u00e7\u0131kar\u0131lmas\u0131n\u0131, standart bir formata d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesini ve veritaban\u0131 veya veri ambar\u0131 gibi bir hedefe y\u00fcklenmesini i\u00e7eren veri ambar\u0131 olu\u015fturma i\u015flemi olan \u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme anlam\u0131na gelir. ETL, birden fazla kaynakta veri entegrasyonu gerektiren sistemler i\u00e7in \u00e7ok \u00f6nemlidir.<\/p>\n

ETL'nin Do\u011fu\u015fu (\u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme)<\/h2>\n

ETL kavram\u0131n\u0131n k\u00f6keni, b\u00fcy\u00fck miktarlarda veriyi depolamak, almak ve y\u00f6netmek i\u00e7in etkili yollar gerektiren bilgisayar tabanl\u0131 bilgi sistemlerinin ortaya \u00e7\u0131k\u0131\u015f\u0131yla birlikte 1970'lere kadar uzan\u0131yor. Y\u0131llar ge\u00e7tik\u00e7e ETL, veri ambar\u0131, i\u015f zekas\u0131 (BI) ve analiti\u011fin \u00f6nemli bir bile\u015feni haline geldi.<\/p>\n

IBM'in 1966'da ba\u015flat\u0131lan Bilgi Y\u00f6netim Sistemi (IMS), birden fazla kaynaktan gelen verileri birle\u015ftirdi\u011fi i\u00e7in ETL'nin \u00f6nc\u00fcs\u00fc olarak d\u00fc\u015f\u00fcn\u00fclebilir. Ancak ETL terimi 1980'lerde ve 1990'larda ili\u015fkisel veritabanlar\u0131 ve veri ambar\u0131 teknolojilerinin y\u00fckseli\u015fiyle birlikte kullan\u0131lmaya ba\u015fland\u0131.<\/p>\n

Konuyu Geni\u015fletelim: ETL (\u00c7\u0131kart, D\u00f6n\u00fc\u015ft\u00fcr, Y\u00fckle)<\/h2>\n

ETL \u00fc\u00e7 temel a\u015famay\u0131 i\u00e7erir:<\/p>\n

    \n
  1. \u00c7\u0131karmak:<\/strong> Bu ad\u0131m, veri tabanlar\u0131n\u0131, CRM sistemlerini, dosyalar\u0131 ve di\u011fer veri havuzlar\u0131n\u0131 i\u00e7erebilecek \u00e7e\u015fitli kaynaklardan veri toplamay\u0131 i\u00e7erir. Veriler yap\u0131land\u0131r\u0131lm\u0131\u015f veya yap\u0131land\u0131r\u0131lmam\u0131\u015f olabilir ve hem i\u00e7 hem de d\u0131\u015f kaynaklardan gelebilir.<\/li>\n
  2. D\u00f6n\u00fc\u015f\u00fcm:<\/strong> Bu ad\u0131m, \u00e7\u0131kar\u0131lan verilerin temizlenmesini, do\u011frulanmas\u0131n\u0131 ve de\u011fi\u015ftirilmesini i\u00e7erir. Bu, filtreleme, s\u0131ralama, toplama, verileri birle\u015ftirme, hesaplamalar yapma veya daha karma\u015f\u0131k i\u015flevleri uygulama gibi g\u00f6revleri i\u00e7erebilir.<\/li>\n
  3. Y\u00fck:<\/strong> D\u00f6n\u00fc\u015ft\u00fcr\u00fclen veriler daha sonra veri ambar\u0131 veya veritaban\u0131 gibi bir hedef sisteme y\u00fcklenir ve burada analiz edilebilir ve karar verme amac\u0131yla kullan\u0131labilir.<\/li>\n<\/ol>\n

    ETL ara\u00e7lar\u0131 bu ad\u0131mlar\u0131 otomatikle\u015ftirerek hatalar\u0131 azalt\u0131r ve veri entegrasyon s\u00fcrecindeki verimlili\u011fi art\u0131r\u0131r.<\/p>\n

    ETL'nin \u0130\u00e7 Yap\u0131s\u0131 (\u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme)<\/h2>\n

    ETL s\u00fcreci bir dizi ad\u0131m\u0131 i\u00e7erir:<\/p>\n

      \n
    1. Veri toplama:<\/strong> Burada veriler \u00e7e\u015fitli kaynak sistemlerden \u00e7\u0131kar\u0131l\u0131r.<\/li>\n
    2. Veri Haz\u0131rlama:<\/strong> Elde edilen veriler a\u015famal\u0131 hale getirilir, yani daha sonraki i\u015flemler i\u00e7in ge\u00e7ici olarak saklan\u0131r.<\/li>\n
    3. Veri D\u00f6n\u00fc\u015f\u00fcm\u00fc:<\/strong> Veriler temizlenir, do\u011frulan\u0131r ve istenilen formata d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr.<\/li>\n
    4. Veri Y\u00fckleme:<\/strong> Temizlenen ve d\u00f6n\u00fc\u015ft\u00fcr\u00fclen veriler hedef sisteme y\u00fcklenir.<\/li>\n
    5. Veri sunumu:<\/strong> Veriler art\u0131k hedef sistemde sorgulama ve analiz i\u00e7in kullan\u0131labilir.<\/li>\n<\/ol>\n

      Her ad\u0131m\u0131n karma\u015f\u0131kl\u0131\u011f\u0131, veri kaynaklar\u0131na, veri hacmine, d\u00f6n\u00fc\u015f\u00fcm gereksinimlerine ve hedef sistemin yeteneklerine ba\u011fl\u0131 olarak de\u011fi\u015febilir.<\/p>\n

      ETL'nin Temel \u00d6zellikleri (\u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme)<\/h2>\n
        \n
      1. Veri Entegrasyonu:<\/strong> ETL, birden fazla farkl\u0131 veri kayna\u011f\u0131ndan gelen verilerin entegrasyonunu sa\u011flar.<\/li>\n
      2. Veri temizleme:<\/strong> ETL s\u00fcreci, veri tutarl\u0131l\u0131\u011f\u0131n\u0131 ve kalitesini garantileyen veri temizleme ad\u0131mlar\u0131n\u0131 i\u00e7erir.<\/li>\n
      3. Otomatik \u0130\u015fleme:<\/strong> ETL ara\u00e7lar\u0131, otomatik i\u015flemeye olanak tan\u0131yarak manuel \u00e7abay\u0131 ve hata olas\u0131l\u0131\u011f\u0131n\u0131 azalt\u0131r.<\/li>\n
      4. Veri D\u00f6n\u00fc\u015f\u00fcm\u00fc:<\/strong> ETL, karma\u015f\u0131k veri d\u00f6n\u00fc\u015f\u00fcmlerine olanak tan\u0131yarak verilerin hedef sistemin ihtiya\u00e7lar\u0131na uyacak \u015fekilde de\u011fi\u015ftirilmesine olanak tan\u0131r.<\/li>\n
      5. Hata y\u00f6netimi:<\/strong> ETL ara\u00e7lar\u0131, veri entegrasyon s\u00fcrecinin g\u00fcvenilirli\u011fini sa\u011flamak i\u00e7in g\u00fc\u00e7l\u00fc hata i\u015fleme ve kurtarma mekanizmalar\u0131na sahiptir.<\/li>\n<\/ol>\n

        ETL T\u00fcrleri (\u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme)<\/h2>\n

        Farkl\u0131 fakt\u00f6rlere dayal\u0131 \u00e7e\u015fitli ETL t\u00fcrleri vard\u0131r:<\/p>\n\n\n\n\n\n\n\n
        Fakt\u00f6r<\/th>\nT\u00fcrler<\/th>\n<\/tr>\n<\/thead>\n
        Da\u011f\u0131t\u0131ma g\u00f6re<\/strong><\/td>\n\u015eirket i\u00e7i ETL, Bulut tabanl\u0131 ETL<\/td>\n<\/tr>\n
        Entegrasyona g\u00f6re<\/strong><\/td>\nToplu ETL, Ger\u00e7ek Zamanl\u0131 ETL<\/td>\n<\/tr>\n
        Hizmet Modeline G\u00f6re<\/strong><\/td>\nSelf servis ETL, Y\u00f6netilen ETL<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        ETL Uygulamalar\u0131 ve Zorluklar\u0131 (\u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme)<\/h2>\n

        ETL, veri ambar\u0131, i\u015f zekas\u0131, veri ge\u00e7i\u015fi ve veri senkronizasyonunda yayg\u0131n olarak kullan\u0131lmaktad\u0131r. Zorluklar aras\u0131nda veri gizlili\u011fi sorunlar\u0131, ger\u00e7ek zamanl\u0131 verilerin i\u015flenmesi, b\u00fcy\u00fck hacimli verilerin y\u00f6netilmesi ve y\u00fcksek performans ve \u00f6l\u00e7eklenebilirlik ihtiyac\u0131 yer alabilir. \u00c7\u00f6z\u00fcmler, geli\u015fmi\u015f ETL ara\u00e7lar\u0131n\u0131n kullan\u0131m\u0131n\u0131, veri y\u00f6netimi stratejilerini ve veri sanalla\u015ft\u0131rma ve ak\u0131\u015f i\u015fleme gibi teknolojilerin kullan\u0131m\u0131n\u0131 i\u00e7erir.<\/p>\n

        Benzer Terimlerle Kar\u015f\u0131la\u015ft\u0131rma<\/h2>\n\n\n\n\n\n\n
        Terim<\/th>\nTan\u0131m<\/th>\nTemel Farkl\u0131l\u0131klar<\/th>\n<\/tr>\n<\/thead>\n
        ELT<\/strong><\/td>\n\u00c7\u0131kar\u0131n, Y\u00fckleyin, D\u00f6n\u00fc\u015ft\u00fcr\u00fcn. Veri d\u00f6n\u00fc\u015f\u00fcm\u00fc hedef sisteme y\u00fcklendikten sonra ger\u00e7ekle\u015fir.<\/td>\nD\u00f6n\u00fc\u015f\u00fcm ad\u0131m\u0131 y\u00fckleme sonras\u0131nda ger\u00e7ekle\u015fir. Ham veri depolama tercih edildi\u011finde kullan\u0131\u015fl\u0131d\u0131r.<\/td>\n<\/tr>\n
        Veri Entegrasyonu<\/strong><\/td>\nFarkl\u0131 kaynaklardan gelen verileri tek bir birle\u015fik g\u00f6r\u00fcn\u00fcmde birle\u015ftirme s\u00fcreci.<\/td>\nETL de dahil olmak \u00fczere daha geni\u015f bir s\u00fcre\u00e7 yelpazesini kapsayan daha genel bir terim.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        ETL'de Gelecek Perspektifleri ve Teknolojiler<\/h2>\n

        \u0130leriye bakt\u0131\u011f\u0131m\u0131zda, ETL s\u00fcre\u00e7lerinin daha ger\u00e7ek zamanl\u0131 hale geldi\u011fini ve veri ak\u0131\u015f\u0131na daha fazla \u00f6nem verildi\u011fini g\u00f6r\u00fcyoruz. Makine \u00f6\u011frenimi ve yapay zeka gibi teknolojiler veri d\u00f6n\u00fc\u015f\u00fcm\u00fcnde daha b\u00fcy\u00fck bir rol oynayacak, bulut tabanl\u0131 ETL hizmetleri ise \u00f6l\u00e7eklenebilirli\u011fi ve maliyet etkinli\u011fi nedeniyle daha yayg\u0131n hale gelecek.<\/p>\n

        Proxy Sunucular\u0131 ve ETL (\u00c7\u0131karma, D\u00f6n\u00fc\u015ft\u00fcrme, Y\u00fckleme)<\/h2>\n

        Proxy sunucular\u0131, \u00f6zellikle genel web verilerinin \u00e7\u0131kar\u0131lmas\u0131yla u\u011fra\u015f\u0131rken, anonimlik ve g\u00fcvenlik sa\u011flayarak ETL s\u00fcre\u00e7lerini geli\u015ftirebilir. Ayr\u0131ca co\u011frafi k\u0131s\u0131tlamalar\u0131 a\u015fmak i\u00e7in de kullan\u0131labilirler, b\u00f6ylece daha kapsaml\u0131 veri \u00e7\u0131kar\u0131m\u0131 yap\u0131labilir.<\/p>\n

        \u0130lgili Ba\u011flant\u0131lar<\/h2>\n
          \n
        1. ETL nedir?<\/a><\/li>\n
        2. ETL'nin \u00d6nemi<\/a><\/li>\n
        3. ETL'nin Gelece\u011fi<\/a><\/li>\n
        4. Veri Ambar\u0131 ve ETL'ye Giri\u015f<\/a><\/li>\n
        5. Veri Entegrasyonunu Anlamak<\/a><\/li>\n<\/ol>\n

          \u0130ster ETL'ye yeni ba\u015fl\u0131yor olun, ister deneyimli bir profesyonel olun, bu s\u00fcrecin inceliklerini anlamak, daha iyi veri entegrasyonu sa\u011flamak, karar almay\u0131 geli\u015ftirmek ve kurulu\u015funuzda daha etkili operasyonlar sa\u011flamak i\u00e7in \u00e7ok \u00f6nemlidir.<\/p>","protected":false},"featured_media":491190,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477126","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about The Comprehensive Guide to ETL (Extract, Transform, Load)<\/mark>","faq_items":[{"question":"What does ETL stand for?","answer":"ETL stands for Extract, Transform, Load. It's a process in data warehousing that involves extracting data from various sources, transforming it into a standard format, and loading it into a destination such as a database or a data warehouse."},{"question":"When was ETL first used?","answer":"The concept of ETL dates back to the 1970s with the advent of computer-based information systems. The term ETL itself came into use in the 1980s and 1990s, coinciding with the rise of relational databases and data warehousing technologies."},{"question":"What are the key stages of the ETL process?","answer":"The key stages of the ETL process are extraction, where data is collected from various sources; transformation, where the data is cleaned, validated, and modified; and loading, where the transformed data is moved into a destination system such as a database or data warehouse."},{"question":"What are the key features of ETL?","answer":"The key features of ETL include data integration from multiple sources, data cleaning to ensure consistency and quality, automated processing to reduce manual effort, data transformation to fit the needs of the target system, and robust error handling to ensure the reliability of the data integration process."},{"question":"What types of ETL exist?","answer":"ETL can be categorized by deployment (on-premise or cloud-based), by integration (batch or real-time), and by service model (self-service or managed)."},{"question":"What are some applications and challenges of ETL?","answer":"ETL is widely used in data warehousing, business intelligence, data migration, and data synchronization. Challenges include data privacy, handling of real-time data, managing large volumes of data, and the need for high performance and scalability."},{"question":"How does ETL differ from ELT and Data Integration?","answer":"ELT, or Extract, Load, Transform, differs from ETL in that the transformation occurs after the data is loaded into the target system. Data Integration is a broader term that encompasses a range of processes, including ETL, to combine data from different sources into a unified view."},{"question":"What are future perspectives and technologies in ETL?","answer":"The future of ETL points towards more real-time processes, with a focus on streaming data. Technologies like machine learning and AI will play a larger role in data transformation, and cloud-based ETL services will become more prevalent due to their scalability and cost-effectiveness."},{"question":"How can proxy servers be used in ETL?","answer":"Proxy servers can enhance ETL processes by providing security and anonymity, particularly when extracting public web data. They can also bypass geo-restrictions, allowing for a more comprehensive data extraction process."}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477126","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\/477126\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/491190"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=477126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}