Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025)<\/title><\/p>\n<style>\n @media (max-width: 768px) {\n body {\n font-size: 16px;\n }\n }\n .warning {\n background-color: #ffdddd;\n border: 1px solid #ffaaaa;\n padding: 10px;\n margin-bottom: 10px;\n }\n <\/style>\n<p><\/head><br \/>\n<body><br \/>\n Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025)<\/p>\n<p>Veri g\u00f6l\u00fc teknolojilerindeki artan karma\u015f\u0131kl\u0131\u011fa \u00e7\u00f6z\u00fcm arayanlar i\u00e7in Apache Iceberg, sa\u011flam ve performans odakl\u0131 bir yap\u0131 sunar. Bu makale, 9-15 A\u011fustos 2025 tarihleri aras\u0131ndaki Apache Iceberg geli\u015ftirici posta listesinden derlenen \u00f6nemli noktalar\u0131, ger\u00e7ek d\u00fcnya senaryolar\u0131 ve ad\u0131m ad\u0131m uygulamal\u0131 \u00f6rneklerle ele alarak, Iceberg'i s\u0131f\u0131rdan \u00f6\u011frenmenize yard\u0131mc\u0131 olacakt\u0131r. Ba\u015flang\u0131\u00e7 seviyesinden ileri seviyeye kadar her seviyeden kullan\u0131c\u0131n\u0131n faydalanabilece\u011fi bir \u00f6\u011frenme yol haritas\u0131 sunuyoruz.<\/p>\n<h2>Apache Iceberg'e Giri\u015f: Neden Iceberg Kullanmal\u0131y\u0131m?<\/h2>\n<p>G\u00fcn\u00fcm\u00fczde b\u00fcy\u00fck veri y\u00f6netimi giderek karma\u015f\u0131kla\u015f\u0131rken, veri g\u00f6l\u00fc teknolojilerinin sundu\u011fu esneklik, \u00f6l\u00e7eklenebilirlik ve maliyet etkinli\u011fi olduk\u00e7a caziptir. Ancak, bu teknolojilerle birlikte gelen \u015fema y\u00f6netimi, veri s\u00fcr\u00fcmleme ve performans optimizasyonu gibi zorluklar da mevcuttur. \u0130\u015fte tam bu noktada Apache Iceberg devreye girer. Iceberg, a\u00e7\u0131k kaynakl\u0131, sa\u011flam ve performans odakl\u0131 bir tablo format\u0131d\u0131r. Veri g\u00f6l\u00fcn\u00fcz\u00fc daha g\u00fcvenilir, daha h\u0131zl\u0131 ve daha kolay y\u00f6netilebilir hale getirmek i\u00e7in tasarlanm\u0131\u015ft\u0131r. \u00d6zellikle b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde \u00e7al\u0131\u015f\u0131rken, verimlili\u011fi art\u0131rmak ve karma\u015f\u0131kl\u0131\u011f\u0131 azaltmak i\u00e7in Iceberg'in sundu\u011fu avantajlardan faydalanabilirsiniz. Daha fazla bilgi i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.<\/p>\n<h2>Apache Iceberg Temel Kavramlar\u0131n\u0131 Anlamak<\/h2>\n<p>Iceberg'in kalbinde, verileri organize etmek ve y\u00f6netmek i\u00e7in kullan\u0131lan tablolar bulunur. Bu tablolar, farkl\u0131 s\u00fcr\u00fcmlerdeki verileri takip eden ve verimli sorgulamalar sa\u011flayan bir yap\u0131ya sahiptir. \u00d6nemli kavramlar aras\u0131nda <strong>\u015fema evrimi<\/strong> (\u015feman\u0131n zaman i\u00e7inde nas\u0131l de\u011fi\u015fti\u011fi), <strong>veri s\u00fcr\u00fcmleme<\/strong> (verinin farkl\u0131 s\u00fcr\u00fcmlerinin nas\u0131l y\u00f6netildi\u011fi) ve <strong>par\u00e7alama<\/strong> (verinin performans\u0131 art\u0131rmak i\u00e7in nas\u0131l b\u00f6l\u00fcmlendirildi\u011fi) yer al\u0131r. Iceberg, bu mekanizmalar\u0131 kullanarak, verilerin tutarl\u0131l\u0131\u011f\u0131n\u0131 ve performans\u0131n\u0131 garanti eder. \u00d6rne\u011fin, bir s\u00fctuna yeni bir alan eklemek istedi\u011finizde, Iceberg eski verileri etkilemeden sadece yeni verilerde bu alan\u0131 ekler, b\u00f6ylece uyumluluk sorunlar\u0131n\u0131 \u00f6nler. Bu, geleneksel veri g\u00f6l\u00fc yakla\u015f\u0131mlar\u0131na k\u0131yasla \u00f6nemli bir avantajd\u0131r.<\/p>\n<h2>Iceberg'i Uygulamak: Ad\u0131m Ad\u0131m \u00d6rnekler<\/h2>\n<p>Bu b\u00f6l\u00fcmde, Iceberg'i kullanarak basit bir veri analizi senaryosunu nas\u0131l ger\u00e7ekle\u015ftirece\u011finizi ad\u0131m ad\u0131m g\u00f6sterece\u011fiz. \u00d6ncelikle, Iceberg'i kurman\u0131z ve bir veri kayna\u011f\u0131 (\u00f6rne\u011fin, Hive, Spark) ile entegre etmeniz gerekir. Ard\u0131ndan, bir Iceberg tablosu olu\u015fturup, verileri bu tabloya y\u00fckleyebilirsiniz. <\/p>\n<h3>Spark ile Iceberg Tablosu Olu\u015fturma<\/h3>\n<p>A\u015fa\u011f\u0131daki Spark kodu, bir Iceberg tablosu olu\u015fturmak i\u00e7in kullan\u0131labilir:<\/p>\n<pre><code class=\"language-scala\">\nimport org.apache.spark.sql.SparkSession\nimport org.apache.iceberg.spark.SparkSessionExtensions\n\nobject CreateIcebergTable {\n def main(args: Array[String]): Unit = {\n val spark = SparkSession.builder.appName(\"CreateIcebergTable\").master(\"local[*]\").getOrCreate()\n SparkSessionExtensions.use(spark)\n\n val data = Seq((\"Alice\", 30), (\"Bob\", 25), (\"Charlie\", 35))\n val df = spark.createDataFrame(data).toDF(\"name\", \"age\")\n\n df.write.format(\"iceberg\").mode(\"overwrite\").save(\"\/path\/to\/iceberg\/table\")\n\n spark.stop()\n }\n}\n <\/code><\/pre>\n<p>Bu kod, <code>\/path\/to\/iceberg\/table<\/code> yoluna bir Iceberg tablosu olu\u015fturur. Bu basit \u00f6rnek, Iceberg'in Spark ile kolay entegrasyonunu g\u00f6stermektedir.<\/p>\n<h2>\u0130leri D\u00fczey Iceberg Teknikleri<\/h2>\n<p>Temel kavramlar\u0131 kavrad\u0131ktan sonra, performans\u0131 daha da optimize etmek ve karma\u015f\u0131k senaryolar\u0131 y\u00f6netmek i\u00e7in ileri d\u00fczey tekniklere dalabiliriz. Bunlar aras\u0131nda <strong>par\u00e7alama stratejileri<\/strong> (verileri daha k\u00fc\u00e7\u00fck par\u00e7alara b\u00f6lerek okuma performans\u0131n\u0131 art\u0131rmak), <strong>\u015fema evrimini optimize etme<\/strong> (\u015fema de\u011fi\u015fikliklerinin performans etkilerini en aza indirmek) ve <strong>Iceberg'i farkl\u0131 depolama sistemleriyle entegre etme<\/strong> (S3, Azure Blob Storage vb.) yer al\u0131r. Bu tekniklerin do\u011fru bir \u015fekilde uygulanmas\u0131, b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde \u00e7al\u0131\u015f\u0131rken performans ve \u00f6l\u00e7eklenebilirlik a\u00e7\u0131s\u0131ndan b\u00fcy\u00fck faydalar sa\u011flayabilir. \u00d6rne\u011fin, do\u011fru bir par\u00e7alama stratejisi se\u00e7mek, sorgu s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde azaltabilir. Daha fazla ileri d\u00fczey teknik i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini inceleyebilirsiniz.<\/p>\n<h2>Ger\u00e7ek D\u00fcnya Senaryolar\u0131: Vaka Analizleri<\/h2>\n<p>Iceberg, bir\u00e7ok ger\u00e7ek d\u00fcnya senaryosunda kullan\u0131lmaktad\u0131r. \u00d6rne\u011fin, b\u00fcy\u00fck bir e-ticaret \u015firketi, \u00fcr\u00fcn katalo\u011fu verilerini Iceberg kullanarak y\u00f6netebilir. Bu sayede, \u00fcr\u00fcn bilgileri g\u00fcncellendi\u011finde, eski veriler silinmeden yeni s\u00fcr\u00fcmler olu\u015fturulabilir ve sorgulamalar her zaman en g\u00fcncel verilere eri\u015febilir. Bir ba\u015fka \u00f6rnek olarak, finansal bir kurulu\u015f, i\u015flem verilerini Iceberg kullanarak saklayabilir ve analiz edebilir. Bu, veri g\u00fcvenli\u011fi ve performans\u0131 a\u00e7\u0131s\u0131ndan \u00f6nemli bir avantajd\u0131r.<\/p>\n<h2>\u00d6\u011frenme Yol Haritas\u0131: Yeni Ba\u015flayan \u2192 Orta \u2192 \u0130leri D\u00fczey<\/h2>\n<p>Iceberg \u00f6\u011frenme yol haritas\u0131 \u015fu \u015fekildedir:<\/p>\n<ul>\n<li><strong>Yeni Ba\u015flayan:<\/strong> Temel kavramlar, Spark veya Hive ile basit tablo olu\u015fturma ve veri y\u00fckleme i\u015flemleri.<\/li>\n<li><strong>Orta Seviye:<\/strong> \u015eema evrimi, veri s\u00fcr\u00fcmleme, par\u00e7alama stratejileri ve farkl\u0131 veri kaynaklar\u0131yla entegrasyon.<\/li>\n<li><strong>\u0130leri Seviye:<\/strong> Performans optimizasyonu, karma\u015f\u0131k sorgu optimizasyonu, farkl\u0131 depolama sistemleriyle entegrasyon ve Iceberg'in g\u00fcvenlik \u00f6zellikleri.<\/li>\n<\/ul>\n<h2>Performans Kar\u015f\u0131la\u015ft\u0131rmalar\u0131: Iceberg vs. Di\u011fer \u00c7\u00f6z\u00fcmler<\/h2>\n<p>Iceberg, di\u011fer veri g\u00f6l\u00fc \u00e7\u00f6z\u00fcmlerine k\u0131yasla performans a\u00e7\u0131s\u0131ndan \u00f6nemli avantajlar sunar. A\u015fa\u011f\u0131daki tabloda, Iceberg'in farkl\u0131 senaryolardaki performans\u0131n\u0131 g\u00f6steren bir kar\u015f\u0131la\u015ft\u0131rma bulunmaktad\u0131r:<\/p>\n<table>\n<thead>\n<tr>\n<th>Senaryo<\/th>\n<th>Iceberg<\/th>\n<th>Parquet<\/th>\n<th>ORC<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>K\u00fc\u00e7\u00fck veri k\u00fcmeleri \u00fczerinde okuma<\/td>\n<td>Ortalama<\/td>\n<td>H\u0131zl\u0131<\/td>\n<td>H\u0131zl\u0131<\/td>\n<\/tr>\n<tr>\n<td>B\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde okuma<\/td>\n<td>H\u0131zl\u0131<\/td>\n<td>Yava\u015f<\/td>\n<td>Yava\u015f<\/td>\n<\/tr>\n<tr>\n<td>Veri g\u00fcncelleme<\/td>\n<td>H\u0131zl\u0131<\/td>\n<td>Yava\u015f<\/td>\n<td>Yava\u015f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"warning\">\n <strong>Dikkat:<\/strong> Iceberg'i kullan\u0131rken, veri g\u00fcvenli\u011fi ve eri\u015fim kontrol\u00fc i\u00e7in uygun \u00f6nlemleri almak \u00f6nemlidir.\n <\/div>\n<h2>Sonu\u00e7 ve S\u0131k\u00e7a Sorulan Sorular<\/h2>\n<p>Apache Iceberg, b\u00fcy\u00fck veri y\u00f6netimi i\u00e7in g\u00fc\u00e7l\u00fc ve \u00f6l\u00e7eklenebilir bir \u00e7\u00f6z\u00fcm sunar. Bu makalede, Iceberg'in temel kavramlar\u0131n\u0131, uygulamal\u0131 \u00f6rneklerini ve ileri d\u00fczey tekniklerini ele ald\u0131k. Iceberg'i \u00f6\u011frenmek ve kullanmak, veri y\u00f6netimi ve analizi s\u00fcre\u00e7lerinizi \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirebilir.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li><strong>Soru 1:<\/strong> Iceberg hangi depolama sistemleriyle uyumludur? <br \/><strong>Cevap:<\/strong> Iceberg, S3, Azure Blob Storage, Hadoop Distributed File System (HDFS) ve daha fazlas\u0131 dahil olmak \u00fczere \u00e7e\u015fitli depolama sistemleriyle uyumludur.<\/li>\n<li><strong>Soru 2:<\/strong> Iceberg'in performans avantajlar\u0131 nelerdir? <br \/><strong>Cevap:<\/strong> Iceberg, verimli par\u00e7alama, \u015fema evrimi ve veri s\u00fcr\u00fcmleme gibi \u00f6zellikler sayesinde, b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde h\u0131zl\u0131 sorgulama ve veri g\u00fcncelleme i\u015flemleri sa\u011flar.<\/li>\n<li><strong>Soru 3:<\/strong> Iceberg'i nas\u0131l kurar\u0131m? <br \/><strong>Cevap:<\/strong> Iceberg'in kurulumu, kullan\u0131lan veri kayna\u011f\u0131na (Spark, Hive vb.) ba\u011fl\u0131 olarak de\u011fi\u015fir. Detayl\u0131 kurulum k\u0131lavuzlar\u0131 i\u00e7in Iceberg resmi dok\u00fcmantasyonuna ba\u015fvurabilirsiniz.<\/li>\n<li><strong>Soru 4:<\/strong> Iceberg ile nas\u0131l \u015fema evrimi ger\u00e7ekle\u015ftiririm? <br \/><strong>Cevap:<\/strong> Iceberg, \u015fema de\u011fi\u015fikliklerini (s\u00fctun ekleme, silme, veri tipi de\u011fi\u015ftirme) y\u00f6netebilir. Bunun i\u00e7in, Iceberg'in sundu\u011fu API'leri kullanarak, yeni \u015fema tan\u0131mlamalar\u0131 yapman\u0131z gerekir. Detayl\u0131 bilgi i\u00e7in Iceberg dok\u00fcmantasyonuna bakabilirsiniz.<\/li>\n<li><strong>Soru 5:<\/strong> Iceberg \u00fccretsiz midir? <br \/><strong>Cevap:<\/strong> Evet, Apache Iceberg a\u00e7\u0131k kaynakl\u0131 bir projedir ve \u00fccretsiz olarak kullan\u0131labilir.<\/li>\n<\/ul>\n<p>Yazar: Fatih Soysal<\/p>\n<p><\/body><br \/>\n<\/html><\/code><\/p>\n","protected":false},"excerpt":{"rendered":"Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025) Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025) Veri g\u00f6l\u00fc…","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-27770","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025)<\/title>\n<meta name=\"description\" content=\"Veri g\u00f6l\u00fc teknolojilerindeki artan karma\u015f\u0131kl\u0131\u011fa \u00e7\u00f6z\u00fcm arayanlar i\u00e7in Apache Iceberg, sa\u011flam ve performans odakl\u0131 bir yap\u0131 sunar. Bu makale, 9-15 A\u011fustos 2025 tarihleri aras\u0131ndaki Apache Iceberg geli\u015ftirici posta listesinden derlenen \u00f6nemli noktalar\u0131, ger\u00e7ek d\u00fcnya senaryolar\u0131 ve ad\u0131m ad\u0131m uygulamal\u0131 \u00f6rneklerle ele alarak, Iceberg'i s\u0131f\u0131rdan \u00f6\u011frenmenize yard\u0131mc\u0131 olacakt\u0131r. 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{"id":27770,"date":"2025-08-18T18:30:30","date_gmt":"2025-08-18T15:30:30","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/apache-iceberg-haftalik-bulten-ozeti-9-15-agustos-2025\/"},"modified":"2025-08-18T18:30:30","modified_gmt":"2025-08-18T15:30:30","slug":"apache-iceberg-haftalik-bulten-ozeti-9-15-agustos-2025","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/apache-iceberg-haftalik-bulten-ozeti-9-15-agustos-2025\/","title":{"rendered":"Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025)"},"content":{"rendered":"

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\n Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025)<\/title><\/p>\n<style>\n @media (max-width: 768px) {\n body {\n font-size: 16px;\n }\n }\n .warning {\n background-color: #ffdddd;\n border: 1px solid #ffaaaa;\n padding: 10px;\n margin-bottom: 10px;\n }\n <\/style>\n<p><\/head><br \/>\n<body><br \/>\n Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025)<\/p>\n<p>Veri g\u00f6l\u00fc teknolojilerindeki artan karma\u015f\u0131kl\u0131\u011fa \u00e7\u00f6z\u00fcm arayanlar i\u00e7in Apache Iceberg, sa\u011flam ve performans odakl\u0131 bir yap\u0131 sunar. Bu makale, 9-15 A\u011fustos 2025 tarihleri aras\u0131ndaki Apache Iceberg geli\u015ftirici posta listesinden derlenen \u00f6nemli noktalar\u0131, ger\u00e7ek d\u00fcnya senaryolar\u0131 ve ad\u0131m ad\u0131m uygulamal\u0131 \u00f6rneklerle ele alarak, Iceberg'i s\u0131f\u0131rdan \u00f6\u011frenmenize yard\u0131mc\u0131 olacakt\u0131r. Ba\u015flang\u0131\u00e7 seviyesinden ileri seviyeye kadar her seviyeden kullan\u0131c\u0131n\u0131n faydalanabilece\u011fi bir \u00f6\u011frenme yol haritas\u0131 sunuyoruz.<\/p>\n<h2>Apache Iceberg'e Giri\u015f: Neden Iceberg Kullanmal\u0131y\u0131m?<\/h2>\n<p>G\u00fcn\u00fcm\u00fczde b\u00fcy\u00fck veri y\u00f6netimi giderek karma\u015f\u0131kla\u015f\u0131rken, veri g\u00f6l\u00fc teknolojilerinin sundu\u011fu esneklik, \u00f6l\u00e7eklenebilirlik ve maliyet etkinli\u011fi olduk\u00e7a caziptir. Ancak, bu teknolojilerle birlikte gelen \u015fema y\u00f6netimi, veri s\u00fcr\u00fcmleme ve performans optimizasyonu gibi zorluklar da mevcuttur. \u0130\u015fte tam bu noktada Apache Iceberg devreye girer. Iceberg, a\u00e7\u0131k kaynakl\u0131, sa\u011flam ve performans odakl\u0131 bir tablo format\u0131d\u0131r. Veri g\u00f6l\u00fcn\u00fcz\u00fc daha g\u00fcvenilir, daha h\u0131zl\u0131 ve daha kolay y\u00f6netilebilir hale getirmek i\u00e7in tasarlanm\u0131\u015ft\u0131r. \u00d6zellikle b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde \u00e7al\u0131\u015f\u0131rken, verimlili\u011fi art\u0131rmak ve karma\u015f\u0131kl\u0131\u011f\u0131 azaltmak i\u00e7in Iceberg'in sundu\u011fu avantajlardan faydalanabilirsiniz. Daha fazla bilgi i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.<\/p>\n<h2>Apache Iceberg Temel Kavramlar\u0131n\u0131 Anlamak<\/h2>\n<p>Iceberg'in kalbinde, verileri organize etmek ve y\u00f6netmek i\u00e7in kullan\u0131lan tablolar bulunur. Bu tablolar, farkl\u0131 s\u00fcr\u00fcmlerdeki verileri takip eden ve verimli sorgulamalar sa\u011flayan bir yap\u0131ya sahiptir. \u00d6nemli kavramlar aras\u0131nda <strong>\u015fema evrimi<\/strong> (\u015feman\u0131n zaman i\u00e7inde nas\u0131l de\u011fi\u015fti\u011fi), <strong>veri s\u00fcr\u00fcmleme<\/strong> (verinin farkl\u0131 s\u00fcr\u00fcmlerinin nas\u0131l y\u00f6netildi\u011fi) ve <strong>par\u00e7alama<\/strong> (verinin performans\u0131 art\u0131rmak i\u00e7in nas\u0131l b\u00f6l\u00fcmlendirildi\u011fi) yer al\u0131r. Iceberg, bu mekanizmalar\u0131 kullanarak, verilerin tutarl\u0131l\u0131\u011f\u0131n\u0131 ve performans\u0131n\u0131 garanti eder. \u00d6rne\u011fin, bir s\u00fctuna yeni bir alan eklemek istedi\u011finizde, Iceberg eski verileri etkilemeden sadece yeni verilerde bu alan\u0131 ekler, b\u00f6ylece uyumluluk sorunlar\u0131n\u0131 \u00f6nler. Bu, geleneksel veri g\u00f6l\u00fc yakla\u015f\u0131mlar\u0131na k\u0131yasla \u00f6nemli bir avantajd\u0131r.<\/p>\n<h2>Iceberg'i Uygulamak: Ad\u0131m Ad\u0131m \u00d6rnekler<\/h2>\n<p>Bu b\u00f6l\u00fcmde, Iceberg'i kullanarak basit bir veri analizi senaryosunu nas\u0131l ger\u00e7ekle\u015ftirece\u011finizi ad\u0131m ad\u0131m g\u00f6sterece\u011fiz. \u00d6ncelikle, Iceberg'i kurman\u0131z ve bir veri kayna\u011f\u0131 (\u00f6rne\u011fin, Hive, Spark) ile entegre etmeniz gerekir. Ard\u0131ndan, bir Iceberg tablosu olu\u015fturup, verileri bu tabloya y\u00fckleyebilirsiniz. <\/p>\n<h3>Spark ile Iceberg Tablosu Olu\u015fturma<\/h3>\n<p>A\u015fa\u011f\u0131daki Spark kodu, bir Iceberg tablosu olu\u015fturmak i\u00e7in kullan\u0131labilir:<\/p>\n<pre><code class=\"language-scala\">\nimport org.apache.spark.sql.SparkSession\nimport org.apache.iceberg.spark.SparkSessionExtensions\n\nobject CreateIcebergTable {\n def main(args: Array[String]): Unit = {\n val spark = SparkSession.builder.appName(\"CreateIcebergTable\").master(\"local[*]\").getOrCreate()\n SparkSessionExtensions.use(spark)\n\n val data = Seq((\"Alice\", 30), (\"Bob\", 25), (\"Charlie\", 35))\n val df = spark.createDataFrame(data).toDF(\"name\", \"age\")\n\n df.write.format(\"iceberg\").mode(\"overwrite\").save(\"\/path\/to\/iceberg\/table\")\n\n spark.stop()\n }\n}\n <\/code><\/pre>\n<p>Bu kod, <code>\/path\/to\/iceberg\/table<\/code> yoluna bir Iceberg tablosu olu\u015fturur. Bu basit \u00f6rnek, Iceberg'in Spark ile kolay entegrasyonunu g\u00f6stermektedir.<\/p>\n<h2>\u0130leri D\u00fczey Iceberg Teknikleri<\/h2>\n<p>Temel kavramlar\u0131 kavrad\u0131ktan sonra, performans\u0131 daha da optimize etmek ve karma\u015f\u0131k senaryolar\u0131 y\u00f6netmek i\u00e7in ileri d\u00fczey tekniklere dalabiliriz. Bunlar aras\u0131nda <strong>par\u00e7alama stratejileri<\/strong> (verileri daha k\u00fc\u00e7\u00fck par\u00e7alara b\u00f6lerek okuma performans\u0131n\u0131 art\u0131rmak), <strong>\u015fema evrimini optimize etme<\/strong> (\u015fema de\u011fi\u015fikliklerinin performans etkilerini en aza indirmek) ve <strong>Iceberg'i farkl\u0131 depolama sistemleriyle entegre etme<\/strong> (S3, Azure Blob Storage vb.) yer al\u0131r. Bu tekniklerin do\u011fru bir \u015fekilde uygulanmas\u0131, b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde \u00e7al\u0131\u015f\u0131rken performans ve \u00f6l\u00e7eklenebilirlik a\u00e7\u0131s\u0131ndan b\u00fcy\u00fck faydalar sa\u011flayabilir. \u00d6rne\u011fin, do\u011fru bir par\u00e7alama stratejisi se\u00e7mek, sorgu s\u00fcrelerini \u00f6nemli \u00f6l\u00e7\u00fcde azaltabilir. Daha fazla ileri d\u00fczey teknik i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini inceleyebilirsiniz.<\/p>\n<h2>Ger\u00e7ek D\u00fcnya Senaryolar\u0131: Vaka Analizleri<\/h2>\n<p>Iceberg, bir\u00e7ok ger\u00e7ek d\u00fcnya senaryosunda kullan\u0131lmaktad\u0131r. \u00d6rne\u011fin, b\u00fcy\u00fck bir e-ticaret \u015firketi, \u00fcr\u00fcn katalo\u011fu verilerini Iceberg kullanarak y\u00f6netebilir. Bu sayede, \u00fcr\u00fcn bilgileri g\u00fcncellendi\u011finde, eski veriler silinmeden yeni s\u00fcr\u00fcmler olu\u015fturulabilir ve sorgulamalar her zaman en g\u00fcncel verilere eri\u015febilir. Bir ba\u015fka \u00f6rnek olarak, finansal bir kurulu\u015f, i\u015flem verilerini Iceberg kullanarak saklayabilir ve analiz edebilir. Bu, veri g\u00fcvenli\u011fi ve performans\u0131 a\u00e7\u0131s\u0131ndan \u00f6nemli bir avantajd\u0131r.<\/p>\n<h2>\u00d6\u011frenme Yol Haritas\u0131: Yeni Ba\u015flayan \u2192 Orta \u2192 \u0130leri D\u00fczey<\/h2>\n<p>Iceberg \u00f6\u011frenme yol haritas\u0131 \u015fu \u015fekildedir:<\/p>\n<ul>\n<li><strong>Yeni Ba\u015flayan:<\/strong> Temel kavramlar, Spark veya Hive ile basit tablo olu\u015fturma ve veri y\u00fckleme i\u015flemleri.<\/li>\n<li><strong>Orta Seviye:<\/strong> \u015eema evrimi, veri s\u00fcr\u00fcmleme, par\u00e7alama stratejileri ve farkl\u0131 veri kaynaklar\u0131yla entegrasyon.<\/li>\n<li><strong>\u0130leri Seviye:<\/strong> Performans optimizasyonu, karma\u015f\u0131k sorgu optimizasyonu, farkl\u0131 depolama sistemleriyle entegrasyon ve Iceberg'in g\u00fcvenlik \u00f6zellikleri.<\/li>\n<\/ul>\n<h2>Performans Kar\u015f\u0131la\u015ft\u0131rmalar\u0131: Iceberg vs. Di\u011fer \u00c7\u00f6z\u00fcmler<\/h2>\n<p>Iceberg, di\u011fer veri g\u00f6l\u00fc \u00e7\u00f6z\u00fcmlerine k\u0131yasla performans a\u00e7\u0131s\u0131ndan \u00f6nemli avantajlar sunar. A\u015fa\u011f\u0131daki tabloda, Iceberg'in farkl\u0131 senaryolardaki performans\u0131n\u0131 g\u00f6steren bir kar\u015f\u0131la\u015ft\u0131rma bulunmaktad\u0131r:<\/p>\n<table>\n<thead>\n<tr>\n<th>Senaryo<\/th>\n<th>Iceberg<\/th>\n<th>Parquet<\/th>\n<th>ORC<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>K\u00fc\u00e7\u00fck veri k\u00fcmeleri \u00fczerinde okuma<\/td>\n<td>Ortalama<\/td>\n<td>H\u0131zl\u0131<\/td>\n<td>H\u0131zl\u0131<\/td>\n<\/tr>\n<tr>\n<td>B\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde okuma<\/td>\n<td>H\u0131zl\u0131<\/td>\n<td>Yava\u015f<\/td>\n<td>Yava\u015f<\/td>\n<\/tr>\n<tr>\n<td>Veri g\u00fcncelleme<\/td>\n<td>H\u0131zl\u0131<\/td>\n<td>Yava\u015f<\/td>\n<td>Yava\u015f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div class=\"warning\">\n <strong>Dikkat:<\/strong> Iceberg'i kullan\u0131rken, veri g\u00fcvenli\u011fi ve eri\u015fim kontrol\u00fc i\u00e7in uygun \u00f6nlemleri almak \u00f6nemlidir.\n <\/div>\n<h2>Sonu\u00e7 ve S\u0131k\u00e7a Sorulan Sorular<\/h2>\n<p>Apache Iceberg, b\u00fcy\u00fck veri y\u00f6netimi i\u00e7in g\u00fc\u00e7l\u00fc ve \u00f6l\u00e7eklenebilir bir \u00e7\u00f6z\u00fcm sunar. Bu makalede, Iceberg'in temel kavramlar\u0131n\u0131, uygulamal\u0131 \u00f6rneklerini ve ileri d\u00fczey tekniklerini ele ald\u0131k. Iceberg'i \u00f6\u011frenmek ve kullanmak, veri y\u00f6netimi ve analizi s\u00fcre\u00e7lerinizi \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirebilir.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li><strong>Soru 1:<\/strong> Iceberg hangi depolama sistemleriyle uyumludur? <br \/><strong>Cevap:<\/strong> Iceberg, S3, Azure Blob Storage, Hadoop Distributed File System (HDFS) ve daha fazlas\u0131 dahil olmak \u00fczere \u00e7e\u015fitli depolama sistemleriyle uyumludur.<\/li>\n<li><strong>Soru 2:<\/strong> Iceberg'in performans avantajlar\u0131 nelerdir? <br \/><strong>Cevap:<\/strong> Iceberg, verimli par\u00e7alama, \u015fema evrimi ve veri s\u00fcr\u00fcmleme gibi \u00f6zellikler sayesinde, b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde h\u0131zl\u0131 sorgulama ve veri g\u00fcncelleme i\u015flemleri sa\u011flar.<\/li>\n<li><strong>Soru 3:<\/strong> Iceberg'i nas\u0131l kurar\u0131m? <br \/><strong>Cevap:<\/strong> Iceberg'in kurulumu, kullan\u0131lan veri kayna\u011f\u0131na (Spark, Hive vb.) ba\u011fl\u0131 olarak de\u011fi\u015fir. Detayl\u0131 kurulum k\u0131lavuzlar\u0131 i\u00e7in Iceberg resmi dok\u00fcmantasyonuna ba\u015fvurabilirsiniz.<\/li>\n<li><strong>Soru 4:<\/strong> Iceberg ile nas\u0131l \u015fema evrimi ger\u00e7ekle\u015ftiririm? <br \/><strong>Cevap:<\/strong> Iceberg, \u015fema de\u011fi\u015fikliklerini (s\u00fctun ekleme, silme, veri tipi de\u011fi\u015ftirme) y\u00f6netebilir. Bunun i\u00e7in, Iceberg'in sundu\u011fu API'leri kullanarak, yeni \u015fema tan\u0131mlamalar\u0131 yapman\u0131z gerekir. Detayl\u0131 bilgi i\u00e7in Iceberg dok\u00fcmantasyonuna bakabilirsiniz.<\/li>\n<li><strong>Soru 5:<\/strong> Iceberg \u00fccretsiz midir? <br \/><strong>Cevap:<\/strong> Evet, Apache Iceberg a\u00e7\u0131k kaynakl\u0131 bir projedir ve \u00fccretsiz olarak kullan\u0131labilir.<\/li>\n<\/ul>\n<p>Yazar: Fatih Soysal<\/p>\n<p><\/body><br \/>\n<\/html><\/code><\/p>\n","protected":false},"excerpt":{"rendered":"Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025) Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025) Veri g\u00f6l\u00fc…","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-27770","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n<title>Apache Iceberg: Haftal\u0131k B\u00fclten \u00d6zeti (9-15 A\u011fustos 2025)<\/title>\n<meta name=\"description\" content=\"Veri g\u00f6l\u00fc teknolojilerindeki artan karma\u015f\u0131kl\u0131\u011fa \u00e7\u00f6z\u00fcm arayanlar i\u00e7in Apache Iceberg, sa\u011flam ve performans odakl\u0131 bir yap\u0131 sunar. Bu makale, 9-15 A\u011fustos 2025 tarihleri aras\u0131ndaki Apache Iceberg geli\u015ftirici posta listesinden derlenen \u00f6nemli noktalar\u0131, ger\u00e7ek d\u00fcnya senaryolar\u0131 ve ad\u0131m ad\u0131m uygulamal\u0131 \u00f6rneklerle ele alarak, Iceberg'i s\u0131f\u0131rdan \u00f6\u011frenmenize yard\u0131mc\u0131 olacakt\u0131r. 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