{"id":476653,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:11","modified_gmt":"2023-09-05T11:13:11","slug":"data-lake","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-lake\/","title":{"rendered":"Veri g\u00f6l\u00fc"},"content":{"rendered":"<p>Veri g\u00f6lleri, b\u00fcy\u00fck miktarlarda ham verinin ihtiya\u00e7 duyulana kadar kendi yerel format\u0131nda depolanmas\u0131na olanak tan\u0131yan merkezi depolama ve veri y\u00f6netimi paradigmalar\u0131d\u0131r. Bu sistemler farkl\u0131 kaynaklardan gelen verileri depolar ve yap\u0131land\u0131r\u0131lm\u0131\u015f, yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f veriler dahil olmak \u00fczere farkl\u0131 veri t\u00fcrlerini destekler. Bir kurulu\u015ftaki kullan\u0131c\u0131lar, veri ara\u015ft\u0131rmas\u0131, veri bilimi, veri ambar\u0131 olu\u015fturma ve ger\u00e7ek zamanl\u0131 analiz gibi \u00e7e\u015fitli g\u00f6revler i\u00e7in bu verilere eri\u015febilir.<\/p>\n<h2>Veri G\u00f6llerinin Tarihi ve Ortaya \u00c7\u0131k\u0131\u015f\u0131<\/h2>\n<p>&quot;Veri G\u00f6l\u00fc&quot; terimi ilk kez 2010 y\u0131l\u0131nda bir veri entegrasyon \u015firketi olan Pentaho&#039;nun CTO&#039;su James Dixon taraf\u0131ndan tan\u0131t\u0131ld\u0131. Dixon, bir veri pazar\u0131n\u0131 (bir i\u015fletmenin tek bir i\u015flevsel alan\u0131na odaklanan basit bir veri ambar\u0131 bi\u00e7imi) kar\u015f\u0131la\u015ft\u0131rd\u0131. &quot;temizlenmi\u015f, paketlenmi\u015f ve kolay t\u00fcketim i\u00e7in yap\u0131land\u0131r\u0131lm\u0131\u015f&quot; bir \u015fi\u015fe suya benzerken, veri g\u00f6l\u00fc do\u011fal haliyle bir su k\u00fctlesine benzer. Veriler, t\u00fcm orijinal \u00f6zelliklerini koruyarak akarsulardan (kaynak sistemlerden) g\u00f6le akar.<\/p>\n<h2>Veri G\u00f6lleri Konseptini A\u00e7\u0131\u011fa \u00c7\u0131karmak<\/h2>\n<p>Veri g\u00f6l\u00fc, verileri i\u015flenmemi\u015f bi\u00e7imde tutar ve ham veri d\u00f6k\u00fcmlerini i\u00e7erir. Bu, genellikle verilerin depolanmadan \u00f6nce i\u015flenmesini ve yap\u0131land\u0131r\u0131lmas\u0131n\u0131 gerektiren geleneksel veri depolama y\u00f6ntemlerinden \u00f6nemli bir sapmad\u0131r. \u0130\u015flenmemi\u015f verileri saklama yetene\u011fi, i\u015fletmelerin b\u00fcy\u00fck verilerden yararlanmas\u0131na olanak tan\u0131r ve karma\u015f\u0131k analiz ve makine \u00f6\u011frenimine olanak tan\u0131yarak onu g\u00fcn\u00fcm\u00fcz\u00fcn veri odakl\u0131 d\u00fcnyas\u0131nda \u00f6nemli bir ara\u00e7 haline getirir.<\/p>\n<p>Veri g\u00f6lleri, ili\u015fkisel veritabanlar\u0131ndan al\u0131nan yap\u0131land\u0131r\u0131lm\u0131\u015f veriler, CSV veya JSON dosyalar\u0131 gibi yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f veriler, e-postalar veya belgeler gibi yap\u0131land\u0131r\u0131lmam\u0131\u015f veriler ve hatta g\u00f6r\u00fcnt\u00fcler, ses ve video gibi ikili veriler dahil olmak \u00fczere her t\u00fcrden veriyi depolar. Farkl\u0131 veri t\u00fcrlerini i\u015fleyebilme yetene\u011fi, i\u015fletmelerin daha \u00f6nce yapamayacaklar\u0131 \u00e7e\u015fitli veri kaynaklar\u0131ndan \u00f6ng\u00f6r\u00fcler elde etmelerini sa\u011flar.<\/p>\n<h2>Veri G\u00f6llerinin \u0130\u00e7 Yap\u0131s\u0131 ve \u00c7al\u0131\u015fmas\u0131<\/h2>\n<p>Veri g\u00f6l\u00fcn\u00fcn i\u00e7 yap\u0131s\u0131 b\u00fcy\u00fck miktarda ham veriyi depolamak i\u00e7in tasarlanm\u0131\u015ft\u0131r. Bir veri g\u00f6l\u00fcndeki veriler genellikle geldi\u011fi formatta depolan\u0131r. Bu veriler genellikle bir dizi nesne blobunda veya dosyas\u0131nda depolan\u0131r. Bu nesne bloblar\u0131, genellikle birden \u00e7ok sunucuya ve hatta birden \u00e7ok konuma yay\u0131lan \u00f6l\u00e7eklenebilir bir depolama altyap\u0131s\u0131nda y\u00fcksek oranda da\u011f\u0131t\u0131lm\u0131\u015f bir \u015fekilde depolanabilir.<\/p>\n<p>Veri g\u00f6l\u00fc mimarisi, verileri depolaman\u0131n olduk\u00e7a \u00f6l\u00e7eklenebilir ve esnek bir yoludur. Veriler herhangi bir \u00f6n i\u015fleme veya \u015fema tasar\u0131m\u0131na ihtiya\u00e7 duyulmadan olu\u015fturuldu\u011fu i\u00e7in lake&#039;e eklenebilmektedir. Bu, ger\u00e7ek zamanl\u0131 veri al\u0131m\u0131na ve analizine olanak tan\u0131r. Kullan\u0131c\u0131lar daha sonra g\u00f6ldeki ham verilere eri\u015febilir, bunlar\u0131 i\u015fleyebilir ve kendi \u00f6zel ihtiya\u00e7lar\u0131na g\u00f6re yap\u0131land\u0131rabilir. Bu genellikle Apache Hadoop veya Spark gibi da\u011f\u0131t\u0131lm\u0131\u015f i\u015fleme \u00e7er\u00e7evelerinin kullan\u0131lmas\u0131yla yap\u0131l\u0131r.<\/p>\n<h2>Veri G\u00f6llerinin Temel \u00d6zellikleri<\/h2>\n<p>Veri g\u00f6llerinin temel \u00f6zelliklerinden baz\u0131lar\u0131 \u015funlard\u0131r:<\/p>\n<ul>\n<li>\n<p><strong>\u00d6l\u00e7eklenebilirlik<\/strong>: Veri g\u00f6lleri, terabaytlardan petabaytlara ve daha fazlas\u0131na kadar \u00f6l\u00e7eklenen \u00e7ok b\u00fcy\u00fck miktarda veriyi i\u015fleyebilir. Bu onlar\u0131 b\u00fcy\u00fck verileri depolamak i\u00e7in ideal k\u0131lar.<\/p>\n<\/li>\n<li>\n<p><strong>Esneklik<\/strong>: Veri g\u00f6lleri yap\u0131land\u0131r\u0131lm\u0131\u015f, yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f her t\u00fcr veriyi depolayabilir. Bu, kurulu\u015flar\u0131n \u00e7e\u015fitli veri t\u00fcrlerini tek bir yerde depolamas\u0131na ve analiz etmesine olanak tan\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>\u00c7eviklik<\/strong>: Veri g\u00f6lleri, verilerin depolanmadan \u00f6nce i\u015flenmesine gerek olmad\u0131\u011f\u0131ndan h\u0131zl\u0131 veri al\u0131m\u0131na olanak tan\u0131r. Ayr\u0131ca, kullan\u0131c\u0131lar ham verilerle do\u011frudan etkile\u015fime girebildi\u011finden, daha h\u0131zl\u0131 veri ke\u015ffi ve ke\u015ffini de kolayla\u015ft\u0131r\u0131rlar.<\/p>\n<\/li>\n<li>\n<p><strong>G\u00fcvenlik ve Y\u00f6neti\u015fim<\/strong>: Modern veri g\u00f6lleri, verilere eri\u015fimi kontrol etmek, veri kalitesini sa\u011flamak ve veri kullan\u0131m\u0131na ili\u015fkin denetim takibini s\u00fcrd\u00fcrmek i\u00e7in sa\u011flam g\u00fcvenlik \u00f6nlemleri ve y\u00f6netim mekanizmalar\u0131 i\u00e7erir.<\/p>\n<\/li>\n<\/ul>\n<h2>Veri G\u00f6l\u00fc T\u00fcrleri<\/h2>\n<p>Veri g\u00f6llerinin iki ana t\u00fcr\u00fc \u015funlard\u0131r:<\/p>\n<ol>\n<li>\n<p><strong>\u015eirket \u0130\u00e7i Veri G\u00f6lleri<\/strong>: Bunlar bir kurulu\u015fun yerel sunucu altyap\u0131s\u0131nda konu\u015fland\u0131r\u0131l\u0131r. Veriler \u00fczerinde daha fazla kontrol sa\u011flarlar ancak kurulum ve bak\u0131m i\u00e7in \u00f6nemli miktarda kaynak gerektirirler.<\/p>\n<\/li>\n<li>\n<p><strong>Bulut Tabanl\u0131 Veri G\u00f6lleri<\/strong>: Bunlar Amazon S3, Azure Data Lake Storage veya Google Cloud Storage gibi bulut platformlar\u0131nda bar\u0131nd\u0131r\u0131l\u0131r. \u00d6l\u00e7eklenebilirlik, esneklik ve maliyet verimlili\u011fi sunarlar ancak bulut hizmeti sa\u011flay\u0131c\u0131s\u0131n\u0131n g\u00fcvenli\u011fine ve g\u00fcvenilirli\u011fine ba\u011fl\u0131d\u0131rlar.<\/p>\n<\/li>\n<\/ol>\n<table>\n<thead>\n<tr>\n<th>Tip<\/th>\n<th>Art\u0131lar\u0131<\/th>\n<th>Eksileri<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u015eirket \u0130\u00e7i Veri G\u00f6lleri<\/td>\n<td>Veriler \u00fczerinde tam kontrol, \u00d6zel ihtiya\u00e7lara g\u00f6re \u00f6zelle\u015ftirilebilir<\/td>\n<td>Y\u00fcksek kurulum ve bak\u0131m maliyeti, Kaynak yo\u011fun<\/td>\n<\/tr>\n<tr>\n<td>Bulut Tabanl\u0131 Veri G\u00f6lleri<\/td>\n<td>Y\u00fcksek d\u00fczeyde \u00f6l\u00e7eklenebilir, Uygun maliyetli<\/td>\n<td>Bulut hizmeti sa\u011flay\u0131c\u0131s\u0131n\u0131n g\u00fcvenli\u011fine ve g\u00fcvenilirli\u011fine ba\u011fl\u0131d\u0131r<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Data Lakes&#039;in Kullan\u0131m\u0131: Zorluklar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<p>Veri g\u00f6lleri, kurulu\u015flar\u0131n verilerinden de\u011ferli i\u00e7g\u00f6r\u00fcler elde etmesine olanak tan\u0131r. Ancak bunlar\u0131n uygulanmas\u0131 ve kullan\u0131lmas\u0131 zorluklarla da kar\u015f\u0131 kar\u015f\u0131ya de\u011fildir. Baz\u0131 yayg\u0131n zorluklar \u015funlard\u0131r:<\/p>\n<ul>\n<li><strong>Veri kalitesi<\/strong>: Veri g\u00f6lleri, d\u00fc\u015f\u00fck kaliteli veya alakas\u0131z veriler de dahil olmak \u00fczere t\u00fcm verileri depolar. Bu durum ele al\u0131nmazsa k\u00f6t\u00fc analiz sonu\u00e7lar\u0131na yol a\u00e7abilir.<\/li>\n<li><strong>G\u00fcvenlik ve Y\u00f6neti\u015fim<\/strong>: Verilere eri\u015fimi y\u00f6netmek ve bir denetim takibini s\u00fcrd\u00fcrmek, veri g\u00f6l\u00fcnde ham, i\u015flenmemi\u015f verilerin saklanmas\u0131 do\u011fas\u0131 nedeniyle karma\u015f\u0131k olabilir.<\/li>\n<li><strong>Karma\u015f\u0131kl\u0131k<\/strong>: Bir veri g\u00f6l\u00fcndeki b\u00fcy\u00fck miktarda i\u015flenmemi\u015f veri, kullan\u0131c\u0131lar i\u00e7in bunalt\u0131c\u0131 olabilir ve gezinmesi zor olabilir.<\/li>\n<\/ul>\n<p>Bu zorluklar\u0131n \u00e7\u00f6z\u00fcmleri aras\u0131nda meta veri y\u00f6netimi ara\u00e7lar\u0131n\u0131n, veri kataloglama ara\u00e7lar\u0131n\u0131n, sa\u011flam veri y\u00f6neti\u015fim \u00e7er\u00e7evelerinin ve kullan\u0131c\u0131 e\u011fitimlerinin kullan\u0131lmas\u0131 yer al\u0131r.<\/p>\n<h2>Veri G\u00f6lleri ve Benzer Kavramlar<\/h2>\n<p>Veri g\u00f6lleri s\u0131kl\u0131kla veri ambarlar\u0131 ve veritabanlar\u0131yla kar\u015f\u0131la\u015ft\u0131r\u0131l\u0131r. \u0130\u015fte bir kar\u015f\u0131la\u015ft\u0131rma:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u00d6zellik<\/th>\n<th>Veri G\u00f6l\u00fc<\/th>\n<th>Veri deposu<\/th>\n<th>Veri taban\u0131<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Veri tipi<\/td>\n<td>Yap\u0131land\u0131r\u0131lmam\u0131\u015f, Yar\u0131 Yap\u0131land\u0131r\u0131lm\u0131\u015f ve Yap\u0131land\u0131r\u0131lm\u0131\u015f<\/td>\n<td>Yap\u0131land\u0131r\u0131lm\u0131\u015f<\/td>\n<td>Yap\u0131land\u0131r\u0131lm\u0131\u015f<\/td>\n<\/tr>\n<tr>\n<td>\u015eema<\/td>\n<td>Okuma s\u0131ras\u0131nda \u015fema<\/td>\n<td>Yazma \u015femas\u0131<\/td>\n<td>Yazma \u015femas\u0131<\/td>\n<\/tr>\n<tr>\n<td>\u0130\u015fleme<\/td>\n<td>Toplu ve Ger\u00e7ek Zamanl\u0131<\/td>\n<td>Grup<\/td>\n<td>Ger\u00e7ek zamanl\u0131<\/td>\n<\/tr>\n<tr>\n<td>Depolamak<\/td>\n<td>Y\u00fcksek Kapasiteli, Ucuz<\/td>\n<td>S\u0131n\u0131rl\u0131, Pahal\u0131<\/td>\n<td>S\u0131n\u0131rl\u0131, Pahal\u0131<\/td>\n<\/tr>\n<tr>\n<td>Kullan\u0131c\u0131lar<\/td>\n<td>Veri bilimcileri, Veri geli\u015ftiricileri<\/td>\n<td>\u0130\u015f analistleri<\/td>\n<td>Uygulama kullan\u0131c\u0131lar\u0131<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Veri G\u00f6llerinde Gelecek Perspektifleri ve Geli\u015fen Teknolojiler<\/h2>\n<p>Veri g\u00f6llerinin gelece\u011fi, artan otomasyonu, geli\u015fmi\u015f analitik ve makine \u00f6\u011frenimi ara\u00e7lar\u0131yla entegrasyonu ve geli\u015fmi\u015f veri y\u00f6netimini i\u00e7ermektedir. Otomatik meta veri etiketleme, art\u0131r\u0131lm\u0131\u015f veri kataloglama ve yapay zeka destekli veri kalitesi y\u00f6netimi gibi teknolojiler, veri g\u00f6llerinin nas\u0131l y\u00f6netildi\u011fini ve kullan\u0131ld\u0131\u011f\u0131n\u0131 yeniden tan\u0131mlayacak \u015fekilde ayarlanm\u0131\u015ft\u0131r.<\/p>\n<p>Veri g\u00f6llerinin geli\u015fmi\u015f analitik ve makine \u00f6\u011frenimi platformlar\u0131yla entegrasyonu, daha karma\u015f\u0131k veri analizi yeteneklerini m\u00fcmk\u00fcn k\u0131l\u0131yor. Bu, geni\u015f veri k\u00fcmelerinden ger\u00e7ek zamanl\u0131 olarak eyleme ge\u00e7irilebilir bilgiler elde etmeyi m\u00fcmk\u00fcn k\u0131l\u0131yor ve daha ak\u0131ll\u0131, veri odakl\u0131 uygulamalar\u0131n ve hizmetlerin geli\u015ftirilmesini te\u015fvik ediyor.<\/p>\n<h2>Proxy Sunucular\u0131 ve Veri G\u00f6lleri<\/h2>\n<p>Proxy sunucular\u0131, daha h\u0131zl\u0131 veri aktar\u0131m\u0131n\u0131 kolayla\u015ft\u0131rarak ve ek bir g\u00fcvenlik katman\u0131 sa\u011flayarak veri g\u00f6l\u00fc uygulamas\u0131n\u0131 geli\u015ftirmek i\u00e7in kullan\u0131labilir. Proxy sunucular, di\u011fer sunuculardan kaynak arayan istemcilerden gelen istekler i\u00e7in arac\u0131 g\u00f6revi g\u00f6rerek y\u00fcklerin dengelenmesine ve veri aktar\u0131m h\u0131zlar\u0131n\u0131n iyile\u015ftirilmesine yard\u0131mc\u0131 olarak veri g\u00f6l\u00fcnden veri al\u0131m\u0131n\u0131 ve \u00e7\u0131kar\u0131lmas\u0131n\u0131 daha verimli hale getirebilir.<\/p>\n<p>Ayr\u0131ca, proxy sunucular veri kayna\u011f\u0131na anonimlik sa\u011flayarak fazladan bir veri g\u00fcvenli\u011fi katman\u0131 ekleyebilir; bu, depolanan b\u00fcy\u00fck miktarlardaki ham ve genellikle hassas veriler g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, veri g\u00f6l\u00fc ba\u011flam\u0131nda \u00e7ok \u00f6nemlidir.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<p>Veri g\u00f6lleri hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklara bak\u0131n:<\/p>\n<ul>\n<li><a href=\"https:\/\/aws.amazon.com\/big-data\/datalakes-and-analytics\/what-is-a-data-lake\/\" target=\"_new\" rel=\"noopener nofollow\">Veri G\u00f6l\u00fc nedir?<\/a> \u2013 Amazon AWS<\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/data-lake-a-brief-introduction-4fb1fad6d2df\" target=\"_new\" rel=\"noopener nofollow\">Data Lake \u2013 K\u0131sa Bir Giri\u015f<\/a> \u2013 Veri Bilimine Do\u011fru<\/li>\n<li><a href=\"https:\/\/docs.microsoft.com\/en-us\/azure\/architecture\/data-guide\/big-data\/\" target=\"_new\" rel=\"noopener nofollow\">Veri G\u00f6llerine Giri\u015f<\/a> \u2013 Microsoft Azure Dok\u00fcmanlar\u0131<\/li>\n<li><a href=\"https:\/\/www.oreilly.com\/library\/view\/what-is-data\/9781491973890\/\" target=\"_new\" rel=\"noopener nofollow\">Veri G\u00f6l\u00fc Nedir ve Neden \u00d6nemlidir?<\/a> \u2013 O&#039;Reilly Medya<\/li>\n<li><a href=\"https:\/\/www.dataversity.net\/data-lakes-purposes-practices-patterns-platforms\/\" target=\"_new\" rel=\"noopener nofollow\">Veri G\u00f6lleri: Ama\u00e7lar, Uygulamalar, Kal\u0131plar ve Platformlar<\/a> \u2013 Veri \u00c7e\u015fitlili\u011fi<\/li>\n<\/ul>","protected":false},"featured_media":468113,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476653","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Lake: A Comprehensive Overview<\/mark>","faq_items":[{"question":"What is a Data Lake?","answer":"<p>A Data Lake is a centralized storage system that allows for the storage of large amounts of raw data in its native format until it is needed. These systems can store data from different sources and support different data types, including structured, semi-structured, and unstructured data.<\/p>"},{"question":"Who first introduced the term \"Data Lake\"?","answer":"<p>The term \"Data Lake\" was first introduced by James Dixon, the CTO of Pentaho, a data integration company, in 2010.<\/p>"},{"question":"How does a Data Lake work?","answer":"<p>Data lakes store data in an unprocessed format, often as a series of object blobs or files. Users can then access the raw data in the lake, process it, and structure it as required for their specific needs. This is typically done through the use of distributed processing frameworks such as Apache Hadoop or Spark.<\/p>"},{"question":"What are the key features of Data Lakes?","answer":"<p>Data Lakes are scalable, flexible, and agile. They can handle massive amounts of data, store all types of data - structured, semi-structured, and unstructured, and enable fast data ingestion. They also incorporate robust security measures and governance mechanisms.<\/p>"},{"question":"What are the two primary types of Data Lakes?","answer":"<p>The two primary types of Data Lakes are On-Premises Data Lakes and Cloud-Based Data Lakes.<\/p>"},{"question":"What are the challenges in implementing and using Data Lakes?","answer":"<p>Some common challenges include ensuring data quality, managing security and governance, and dealing with the complexity of navigating vast amounts of unprocessed data.<\/p>"},{"question":"How do Data Lakes compare with Data Warehouses and Databases?","answer":"<p>Data Lakes can store unstructured, semi-structured, and structured data, while Data Warehouses and Databases typically store only structured data. Data Lakes use a schema-on-read approach, while Data Warehouses and Databases use a schema-on-write approach.<\/p>"},{"question":"How can Proxy Servers be used with Data Lakes?","answer":"<p>Proxy Servers can enhance data lake implementation by facilitating faster data transfer and providing an additional layer of security. They can help balance loads and improve data transfer speeds, making data ingestion and extraction from the data lake more efficient.<\/p>"},{"question":"What are the future perspectives and emerging technologies in Data Lakes?","answer":"<p>The future of data lakes involves increased automation, integration with advanced analytics and machine learning tools, and improved data governance. Technologies such as automated metadata tagging, augmented data cataloging, and AI-powered data quality management are set to redefine how data lakes are managed and used.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476653","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\/476653\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/468113"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}