{"id":3390,"date":"2024-11-09T05:15:12","date_gmt":"2024-11-09T02:15:12","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/aws-uzerinde-apache-iceberg-ile-islemsel-bir-data-lakehouse-olusturma\/"},"modified":"2024-11-09T05:15:12","modified_gmt":"2024-11-09T02:15:12","slug":"aws-uzerinde-apache-iceberg-ile-islemsel-bir-data-lakehouse-olusturma","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/aws-uzerinde-apache-iceberg-ile-islemsel-bir-data-lakehouse-olusturma\/","title":{"rendered":"AWS \u00dczerinde Apache Iceberg ile \u0130\u015flemsel Bir Data Lakehouse Olu\u015fturma"},"content":{"rendered":"<p>AWS \u00dczerinde Apache Iceberg ile \u0130\u015flemsel Bir Data Lakehouse Olu\u015fturma<\/p>\n<p>Merhaba! Ben Fatih Soysal ve Data Engineering ile ilgili konulara ilgi duyan biri olarak, 2024 Sydney&#8217;de d\u00fczenlenen DataEngBytes konferans\u0131nda sundu\u011fum &#8220;AWS \u00dczerinde Apache Iceberg ile \u0130\u015flemsel Bir Data Lakehouse Olu\u015fturma&#8221; sunumunu sizlerle payla\u015fmak istiyorum.<\/p>\n<h2>Data Lakehouse Mimarisi<\/h2>\n<p>Son y\u0131llarda, geleneksel veri ambarlar\u0131 ve data lake&#8217;lerin s\u0131n\u0131rlar\u0131 bulan\u0131kla\u015ft\u0131. Data lakehouse, her iki d\u00fcnyan\u0131n da en iyi \u00f6zelliklerini bir araya getirerek, hem yap\u0131land\u0131r\u0131lm\u0131\u015f hem de yap\u0131land\u0131r\u0131lmam\u0131\u015f verilerin depolanmas\u0131n\u0131 ve i\u015flenmesini sa\u011flayan yeni bir mimari sunar.<\/p>\n<p>Data lakehouse mimarisinde, Apache Iceberg gibi a\u00e7\u0131k kaynakl\u0131 bir tablo y\u00f6netim sistemi, b\u00fcy\u00fck miktarda verinin \u00fczerinde yap\u0131sal bir katman olu\u015fturur. Bu, verileri sorgulama, g\u00fcncelleme ve silme i\u015flemlerini daha verimli hale getirir.<\/p>\n<p>Bu mimari, daha h\u0131zl\u0131 ve daha esnek veri analizi, daha d\u00fc\u015f\u00fck maliyet ve veri y\u00f6netiminin kolayla\u015ft\u0131r\u0131lmas\u0131 gibi avantajlar sunar. Detaylar\u0131na daha sonra de\u011finece\u011fiz.<\/p>\n<h2>Apache Iceberg<\/h2>\n<p>Apache Iceberg, verilerin depoland\u0131\u011f\u0131 formattan ba\u011f\u0131ms\u0131z olarak, b\u00fcy\u00fck \u00f6l\u00e7ekli veri k\u00fcmeleri i\u00e7in yap\u0131land\u0131r\u0131lm\u0131\u015f bir tablo y\u00f6netim sistemi sunar.  Apache Iceberg, a\u015fa\u011f\u0131daki \u00f6zelliklerle \u00f6ne \u00e7\u0131kar:<\/p>\n<ul>\n<li><strong>\u0130\u015flemsel Tablolar<\/strong>: ACID \u00f6zelliklerini sa\u011flayan i\u015flemsel tablolar olu\u015fturur.<\/li>\n<li><strong>De\u011fi\u015fmezlik ve Zaman S\u00fcr\u00fcm\u00fc<\/strong>: Veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc ve geriye d\u00f6n\u00fck analizleri desteklemek i\u00e7in de\u011fi\u015fmezlik ve zaman s\u00fcr\u00fcm\u00fc sa\u011flar.<\/li>\n<li><strong>Evrimle\u015fen \u015eema<\/strong>: Veri \u015femas\u0131n\u0131 zamanla de\u011fi\u015ftirmenizi kolayla\u015ft\u0131r\u0131r.<\/li>\n<li><strong>\u00c7oklu Dosya Bi\u00e7imleri<\/strong>: Apache Parquet, ORC gibi farkl\u0131 dosya bi\u00e7imlerini destekler.<\/li>\n<li><strong>Yayg\u0131n Entegrasyonlar<\/strong>: Spark, Presto, Trino gibi yayg\u0131n veri i\u015fleme platformlar\u0131yla uyumludur.<\/li>\n<\/ul>\n<h2>AWS \u00dczerinde \u0130\u015flemsel Data Lakehouse<\/h2>\n<p>AWS, i\u015flemsel data lakehouse olu\u015fturmak i\u00e7in kapsaml\u0131 bir hizmet yelpazesi sunar. Bu hizmetler, veri depolama, i\u015fleme, sorgulama ve y\u00f6netim i\u00e7in optimize edilmi\u015ftir. Sunumda ele ald\u0131\u011f\u0131m\u0131z temel hizmetler \u015funlard\u0131r:<\/p>\n<ul>\n<li><strong>Amazon S3<\/strong>: Data lake&#8217;in temel depolama alan\u0131 olarak hizmet eder.<\/li>\n<li><strong>Amazon EMR<\/strong>: Spark, Presto ve Hive gibi veri i\u015fleme \u00e7er\u00e7evelerini \u00e7al\u0131\u015ft\u0131rmak i\u00e7in kullan\u0131lan bir y\u00f6netilen Hadoop platformudur.<\/li>\n<li><strong>Amazon Athena<\/strong>: S3 \u00fczerindeki verileri sorgulamak i\u00e7in kullan\u0131lan, sorgulama hizmetidir.<\/li>\n<li><strong>Amazon Glue<\/strong>: Veri ke\u015ffi, temizli\u011fi ve d\u00f6n\u00fc\u015f\u00fcm\u00fc i\u00e7in kullan\u0131lan bir veri haz\u0131rlama hizmetidir.<\/li>\n<li><strong>AWS Glue Data Catalog<\/strong>: Apache Iceberg tablolar\u0131n\u0131 ve di\u011fer verileri katalo\u011flamak i\u00e7in kullan\u0131lan bir meta veri deposudur.<\/li>\n<\/ul>\n<p>Yukar\u0131da belirtilen hizmetler, Apache Iceberg ile birle\u015ferek g\u00fc\u00e7l\u00fc bir data lakehouse mimarisi olu\u015fturur. Bu mimari, verilerin depolama, i\u015fleme ve sorgulama i\u00e7in optimize edilmi\u015f bir \u00e7er\u00e7eve sunar.<\/p>\n<h2>Uygulama \u00d6rne\u011fi<\/h2>\n<p>Sunumda, bir e-ticaret \u015firketi i\u00e7in bir i\u015flemsel data lakehouse \u00f6rne\u011fi g\u00f6sterdik. Bu \u00f6rnekte, Apache Iceberg ile i\u015flemsel tablolar olu\u015fturduk ve bu tablolar \u00fczerinde ger\u00e7ek zamanl\u0131 veri g\u00fcncellemeleri yapt\u0131k. Amazon EMR ve Spark ile veri i\u015fleme i\u015flemleri ger\u00e7ekle\u015ftirdik ve Amazon Athena ile ger\u00e7ek zamanl\u0131 analitik sorgulamalar\u0131 \u00e7al\u0131\u015ft\u0131rd\u0131k. <\/p>\n<h2>Avantajlar<\/h2>\n<p>AWS \u00dczerinde Apache Iceberg ile i\u015flemsel data lakehouse olu\u015fturman\u0131n bir\u00e7ok avantaj\u0131 vard\u0131r:<\/p>\n<ul>\n<li><strong>Daha H\u0131zl\u0131 Veri Analizi<\/strong>: Yap\u0131land\u0131r\u0131lm\u0131\u015f verilerin kullan\u0131m\u0131, daha h\u0131zl\u0131 veri analizi ve daha h\u0131zl\u0131 yan\u0131t s\u00fcreleri sa\u011flar.<\/li>\n<li><strong>D\u00fc\u015f\u00fck Maliyet<\/strong>: Daha az depolama alan\u0131 gereksinimi ve daha verimli veri i\u015fleme, maliyetleri azalt\u0131r.<\/li>\n<li><strong>Esneklik<\/strong>: Apache Iceberg&#8217;in esnek yap\u0131s\u0131, verilerle nas\u0131l \u00e7al\u0131\u015faca\u011f\u0131n\u0131z konusunda daha fazla \u00f6zg\u00fcrl\u00fck verir.<\/li>\n<li><strong>Geli\u015fmi\u015f Veri Y\u00f6netimi<\/strong>: Apache Iceberg&#8217;in tablo y\u00f6netimi \u00f6zellikleri, veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc ve veri y\u00f6netimini iyile\u015ftirir.<\/li>\n<\/ul>\n<h2>Sonu\u00e7<\/h2>\n<p>AWS \u00dczerinde Apache Iceberg ile i\u015flemsel data lakehouse olu\u015fturmak, modern veri analizi ve veri y\u00f6netimi i\u00e7in etkili bir \u00e7\u00f6z\u00fcmd\u00fcr. Bu yakla\u015f\u0131m, daha h\u0131zl\u0131 veri analizi, daha d\u00fc\u015f\u00fck maliyet, esneklik ve geli\u015fmi\u015f veri y\u00f6netimi gibi bir\u00e7ok avantaj sunar. Daha fazla bilgi edinmek ve kendi data lakehouse&#8217;\u0131n\u0131z\u0131 kurmak i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">web sitemi<\/a> ziyaret edebilir veya bana ula\u015fabilirsiniz.<\/p>\n<h2>#Etiketler<\/h2>\n<p>#DataEngBytes #DataLakehouse #ApacheIceberg #AWS #VeriAnalizi #VeriY\u00f6netimi #E-Ticaret #Spark #AmazonEMR #AmazonAthena #AmazonS3 #AmazonGlue #VeriDepolama #\u0130\u015flemselTablolar #Analitik <\/p>\n","protected":false},"excerpt":{"rendered":"AWS \u00dczerinde Apache Iceberg ile \u0130\u015flemsel Bir Data Lakehouse Olu\u015fturma Merhaba! Ben Fatih Soysal ve Data Engineering ile&hellip;","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-3390","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AWS \u00dczerinde Apache Iceberg ile \u0130\u015flemsel Bir Data Lakehouse Olu\u015fturma<\/title>\n<meta name=\"description\" content=\"Merhaba! 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