{"id":4331,"date":"2024-02-06T07:29:07","date_gmt":"2024-02-06T07:29:07","guid":{"rendered":"https:\/\/bulutistan.com\/blog\/?p=4331"},"modified":"2024-02-06T07:29:07","modified_gmt":"2024-02-06T07:29:07","slug":"hadoop-nedir","status":"publish","type":"post","link":"https:\/\/bulutistan.com\/blog\/hadoop-nedir\/","title":{"rendered":"Hadoop Nedir?"},"content":{"rendered":"<p>Hadoop, kullan\u0131c\u0131lar\u0131n b\u00fcy\u00fck miktarlarda yap\u0131land\u0131r\u0131lm\u0131\u015f veriyi ve yap\u0131land\u0131r\u0131lmam\u0131\u015f veriyi depolamas\u0131na, i\u015flemesine ve analiz etmesine olanak tan\u0131yan a\u00e7\u0131k kaynakl\u0131 bir \u00e7er\u00e7evedir.<\/p>\n<p>Hadoop ba\u015flang\u0131\u00e7ta arama motoru indekslemesine yard\u0131mc\u0131 olmak i\u00e7in geli\u015ftirilse de, Google&#8217;\u0131n piyasaya s\u00fcr\u00fclmesinden sonra odak noktas\u0131 b\u00fcy\u00fck veriye y\u00f6neldi.<\/p>\n<p>A\u00e7\u0131k kaynakl\u0131 bir \u00e7\u00f6z\u00fcm olan Hadoop, d\u00fc\u015f\u00fck bir giri\u015f maliyeti sa\u011flar ve b\u00fcy\u00fck veri analiti\u011fini pahal\u0131 \u015firket i\u00e7i donan\u0131mlarla \u00e7al\u0131\u015ft\u0131rma ihtiyac\u0131n\u0131 ortadan kald\u0131r\u0131r. Sonu\u00e7 olarak Hadoop, verileri i\u015flemek ve b\u00fcy\u00fck veri k\u00fcmelerini depolamak isteyen i\u015fletmeler i\u00e7in cazip bir se\u00e7enektir.<\/p>\n<p>Bug\u00fcn, bu a\u00e7\u0131k kaynakl\u0131 b\u00fcy\u00fck veri \u00e7er\u00e7evesi Apache Software Foundation taraf\u0131ndan desteklenir ve bak\u0131m\u0131 yap\u0131l\u0131r; dolay\u0131s\u0131yla Hadoop\u2019un Apache Hadoop olarak adland\u0131r\u0131ld\u0131\u011f\u0131n\u0131 duyabilirsiniz.<\/p>\n<p>Hadoop&#8217;un \u00e7ekirde\u011fi \u00fc\u00e7 ana bile\u015fenden olu\u015fur:<\/p>\n<ul>\n<li>Hadoop Distributed File System (Hadoop Da\u011f\u0131t\u0131lm\u0131\u015f Dosya Sistemi)<\/li>\n<li>Hadoop MapReduce<\/li>\n<li>Hadoop YARN<\/li>\n<\/ul>\n<p>Fakat Hadoop&#8217;un ana bile\u015fenlerini \u00f6\u011frenmeden \u00f6nce, &#8221;daemonlar&#8221; hakk\u0131nda bilgi sahibi olman\u0131z gerekir. Daemonlar, da\u011f\u0131t\u0131lm\u0131\u015f altyap\u0131n\u0131n \u00e7al\u0131\u015ft\u0131r\u0131lmas\u0131na yard\u0131mc\u0131 olan arka plan i\u015flemleridir. Bu s\u00fcre\u00e7ler veri depolama ve veri i\u015fleme g\u00f6revlerini yerine getirir. Hadoop&#8217;taki temel daemonlar a\u015fa\u011f\u0131dakileri i\u00e7erir:<\/p>\n<ul>\n<li><strong>NameNode:\u00a0<\/strong>NameNode, dosya sistemi ad alan\u0131n\u0131 y\u00f6neten ve ayr\u0131ca dosyalara eri\u015fimi kontrol eden ana sunucudur. Temel olarak, t\u00fcm dosya ve dizinler i\u00e7in dizin a\u011fac\u0131n\u0131 ve meta verileri korur.<\/li>\n<\/ul>\n<ul>\n<li><strong>DataNode:\u00a0<\/strong>DataNode ger\u00e7ek veri bloklar\u0131n\u0131n depolanmas\u0131ndan sorumlu i\u015f\u00e7i d\u00fc\u011f\u00fcmlerdir. Hata tolerans\u0131n\u0131 sa\u011flamak i\u00e7in her blo\u011fun birden fazla kopyas\u0131 farkl\u0131 DataNode&#8217;lara da\u011f\u0131t\u0131l\u0131r.<\/li>\n<\/ul>\n<ul>\n<li><strong>ResourceManager (RM):\u00a0<\/strong>Bu daemon, Hadoop&#8217;un Yet Another Resource Negotiator (YARN) sisteminin bir par\u00e7as\u0131d\u0131r ve k\u00fcmedeki kaynaklar\u0131n y\u00f6netilmesi ve izlenmesinden sorumludur. ResourceManager, belirli g\u00f6revlerin (MapReduce g\u00f6revleri gibi) da\u011f\u0131t\u0131m\u0131n\u0131 koordine eden ana sistem olarak hareket eder.<\/li>\n<\/ul>\n<ul>\n<li><strong>NodeManager (NM):\u00a0<\/strong>\u0130\u015f\u00e7i d\u00fc\u011f\u00fcmlerinin her birinde \u00e7al\u0131\u015fan NodeManager daemon, ResourceManager ile birlikte \u00e7al\u0131\u015f\u0131r. Kendi d\u00fc\u011f\u00fcm\u00fcndeki kaynaklar\u0131 izler ve ResourceManager&#8217;a geri bildirimde bulunur. Ayr\u0131ca, ResourceManager taraf\u0131ndan y\u00f6nlendirildi\u011fi gibi d\u00fc\u011f\u00fcm\u00fcndeki g\u00f6revleri y\u00fcr\u00fctmekten de sorumludur.<\/li>\n<\/ul>\n<h3 id=\"1-hadoop-distributed-file-system\"><strong>1. Hadoop Distributed File System\u00a0<\/strong><\/h3>\n<p>Hadoop Da\u011f\u0131t\u0131lm\u0131\u015f Dosya Sistemi (HDFS), Hadoop sisteminin veri depolama bile\u015fenidir. HDFS, sistemde depolanan verileri al\u0131r ve daha sonra Hadoop k\u00fcmesindeki veri d\u00fc\u011f\u00fcmlerinde depolanan daha k\u00fc\u00e7\u00fck, daha y\u00f6netilebilir par\u00e7alara b\u00f6ler.<\/p>\n<p>Hadoop Distributed File System, b\u00fcy\u00fck veri k\u00fcmelerini etkili ve verimli bir \u015fekilde daha y\u00f6netilebilir boyutlara indirgeyebilir. Veri g\u00f6revlerini ve analizlerini ger\u00e7ekle\u015ftirmek i\u00e7in t\u00fcm verilere her veri d\u00fc\u011f\u00fcm\u00fcnden ayn\u0131 anda eri\u015filebilir.<\/p>\n<h3 id=\"2-hadoop-mapreduce\"><strong>2. Hadoop MapReduce\u00a0<\/strong><\/h3>\n<p>MapReduce, Hadoop sisteminin birincil programlama bile\u015fenidir. Hadoop MapReduce kullan\u0131larak b\u00fcy\u00fck veri g\u00f6revleri, t\u00fcm Hadoop k\u00fcmesinde ayn\u0131 anda ger\u00e7ekle\u015ftirilen k\u00fc\u00e7\u00fck g\u00f6revlere b\u00f6l\u00fcnebilir.<\/p>\n<p>Paralel i\u015fleme, verileri i\u015flemek i\u00e7in gereken s\u00fcreyi b\u00fcy\u00fck \u00f6l\u00e7\u00fcde azalt\u0131r ve y\u0131k\u0131c\u0131 bir bilgisayar ar\u0131zas\u0131 olas\u0131l\u0131\u011f\u0131n\u0131 azalt\u0131r. MapReduce ve HDFS birbiriyle yak\u0131ndan ili\u015fkilidir ve sistemin d\u00fczg\u00fcn \u00e7al\u0131\u015fmas\u0131 i\u00e7in birbirlerine ihtiya\u00e7 duyarlar.<\/p>\n<h3 id=\"3-hadoop-yarn\"><strong>3. Hadoop YARN<\/strong><\/h3>\n<p>Hadoop YARN (Yet Another Resource Negotiator) sistem genelinde bilgi i\u015flem kaynaklar\u0131n\u0131n y\u00f6netilmesinden sorumludur. YARN, Hadoop k\u00fcmesi genelinde g\u00f6revleri planlar ve tahsis eder.<\/p>\n<p>YARN tam olarak sistemin veri i\u015fleme motoru de\u011fildir, ancak sistemin kapsay\u0131c\u0131 g\u00f6rev ve kaynak y\u00f6neticisidir.<\/p>\n<h3 id=\"4-hadoop-common\"><strong>4. Hadoop Common\u00a0<\/strong><\/h3>\n<p>Hadoop Common, Hadoop&#8217;un orijinal \u00fc\u00e7 bile\u015feninin bir par\u00e7as\u0131 de\u011fildir. Hadoop Common, Apache taraf\u0131ndan eklenen d\u00f6rd\u00fcnc\u00fc bir bile\u015fendir. Common, HBase, Hive, Apache Spark, Sqoop ve Flume gibi ek yard\u0131mc\u0131 programlar ve uygulamalar i\u00e7eren bir Java k\u00fct\u00fcphanesidir.<\/p>\n<p>T\u00fcm bunlar Hadoop ekosisteminin performans\u0131n\u0131 ve yeteneklerini geli\u015ftiren eklenti \u00f6zelliklerdir.<\/p>\n<p><span style=\"font-weight: 400;\">Bulutistan hizmetlerinin detaylar\u0131na ula\u015fmak i\u00e7in<\/span><a href=\"https:\/\/bulutistan.com\/cloud\/\"> <span style=\"font-weight: 400;\">t\u0131klay\u0131n\u0131z<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"hadoopun-tarihcesi\"><strong>Hadoop&#8217;un Tarih\u00e7esi<\/strong><\/h2>\n<p>Modern veri g\u00f6llerinin tarihi Hadoop&#8217;un y\u00fckseli\u015fiyle m\u00fcmk\u00fcn oldu. Son derece b\u00fcy\u00fck veri k\u00fcmelerini depolama ve i\u015fleme ihtiyac\u0131 artt\u0131k\u00e7a, mevcut platform ve ara\u00e7lar talebi kar\u015f\u0131layamaz hale geldi. Veri de\u011fi\u015fiyordu ve Hadoop&#8217;a dayanan veri g\u00f6l\u00fc, evriminde merkezi bir rol oynad\u0131.<\/p>\n<p>2003 y\u0131l\u0131nda Google, da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemlerindeki verilere yeterli eri\u015fim sa\u011flamak i\u00e7in GFS&#8217;yi (Google Dosya Sistemi) tan\u0131tt\u0131.<\/p>\n<p>2004 y\u0131l\u0131nda Google, harita k\u00fc\u00e7\u00fcltme konusunda bir teknik inceleme yay\u0131nlad\u0131. Java tabanl\u0131 hesaplamada i\u015flerin i\u015flenmesine y\u00f6nelik bir teknik ve program modeli, g\u00f6rev ve harita azaltma konusunda \u00f6nemli algoritmalara sahiptir. Veriyi d\u00f6n\u00fc\u015ft\u00fcr\u00fcr ve bir veri seti haline getirir.<\/p>\n<p>2005 y\u0131l\u0131nda NDFS, Doug Cut ve Mike Cafarella taraf\u0131ndan (Nutch da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemi) tan\u0131t\u0131ld\u0131. Bu, Hadoop&#8217;ta yeni bir dosya sistemidir. Hadoop da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemi ve Nutch da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemi ayn\u0131d\u0131r.<\/p>\n<p>2006 y\u0131l\u0131nda Google, Doug&#8217;\u0131n istifas\u0131yla Yahoo&#8217;ya kat\u0131ld\u0131. Doug Cut, Nutch da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemini temel alan Hadoop da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemi \u00fczerinde yeni bir proje yapt\u0131. Ayn\u0131 y\u0131l Hadoop&#8217;un ilk s\u00fcr\u00fcm\u00fc 0.1.0 yay\u0131nland\u0131.<\/p>\n<p>2007 y\u0131l\u0131nda Yahoo, 1000 makinede ayn\u0131 anda iki k\u00fcmeyi \u00e7al\u0131\u015ft\u0131rmaya ba\u015flad\u0131.<\/p>\n<p>2008 y\u0131l\u0131nda Hadoop en h\u0131zl\u0131 sistem haline geldi.<\/p>\n<p>2013 y\u0131l\u0131nda Hadoop 2.2 piyasaya s\u00fcr\u00fcld\u00fc.<\/p>\n<p>2017 y\u0131l\u0131nda Hadoop 3.0 piyasaya s\u00fcr\u00fcld\u00fc.<\/p>\n<h2 id=\"hadoopu-neden-kullanmalisiniz\"><strong>Hadoop&#8217;u Neden Kullanmal\u0131s\u0131n\u0131z?<\/strong><\/h2>\n<p>Hadoop, b\u00fcy\u00fck miktarda verinin olu\u015fturuldu\u011fu ve i\u015fletmenizin bu verilerden \u00f6ng\u00f6r\u00fclere ihtiya\u00e7 duydu\u011fu durumlarda kullan\u0131l\u0131r. Hadoop&#8217;un g\u00fcc\u00fc, yaz\u0131l\u0131m\u0131n neredeyse \u00e7o\u011funun ona tak\u0131labildi\u011fi ve veri g\u00f6rselle\u015ftirme i\u00e7in kullan\u0131labildi\u011fi i\u00e7in \u00e7er\u00e7evesinde yatmaktad\u0131r. Bir sistemden bir k\u00fcmedeki binlerce sisteme geni\u015fletilebilir ve bu sistemler d\u00fc\u015f\u00fck kaliteli ticari sistemler olabilir. Hadoop, y\u00fcksek kullan\u0131labilirlik i\u00e7in donan\u0131ma ba\u011fl\u0131 de\u011fildir.<\/p>\n<p>Peki neden Hadoop kullanmal\u0131s\u0131n\u0131z?<\/p>\n<ul>\n<li>Hadoop&#8217;un maliyet tasarruflar\u0131 eski sistemlerle kar\u015f\u0131la\u015ft\u0131r\u0131ld\u0131\u011f\u0131nda \u00fcst d\u00fczeydedir.<\/li>\n<li>Zaman i\u00e7inde yeni geli\u015fmelerle geli\u015fen sa\u011flam bir topluluk deste\u011fine sahiptir.<\/li>\n<\/ul>\n<h2 id=\"hadoop-nasil-calisir\"><strong>Hadoop Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/strong><\/h2>\n<p>Hadoop, dev veri k\u00fcmelerinin ticari donan\u0131m k\u00fcmeleri aras\u0131nda da\u011f\u0131t\u0131lmas\u0131na olanak tan\u0131r. Birden \u00e7ok sunucuda paralel i\u015flemeyi kullanarak i\u015fletmelerin b\u00fcy\u00fck miktarda veriyi h\u0131zl\u0131 bir \u015fekilde depolamas\u0131na ve i\u015flemesine yard\u0131mc\u0131 olur.<\/p>\n<p>Hadoop&#8217;u kullan\u0131rken m\u00fc\u015fteriler a\u015fa\u011f\u0131daki ad\u0131mlar\u0131 takip edebilir:<\/p>\n<ul>\n<li>M\u00fc\u015fteriler veri ve programlar\u0131 Hadoop&#8217;a g\u00f6nderir.<\/li>\n<li>HDFS, meta verileri ve da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemlerini y\u00f6netir.<\/li>\n<li>Hadoop MapReduce giri\u015f ve \u00e7\u0131k\u0131\u015f verilerini i\u015fler ve d\u00f6n\u00fc\u015ft\u00fcr\u00fcr.<\/li>\n<li>YARN g\u00f6revleri bir k\u00fcmeye b\u00f6ler.<\/li>\n<li>Hadoop deneyiminden yararlanan m\u00fc\u015fteriler verimlili\u011fi, h\u0131zl\u0131 yan\u0131t s\u00fcrelerini ve b\u00fcy\u00fck verilerden en iyi \u015fekilde yararlanma becerisini art\u0131rd\u0131.<\/li>\n<\/ul>\n<h2 id=\"buyuk-veri-icin-hadoop-kullanmanin-avantajlari\"><strong>B\u00fcy\u00fck Veri i\u00e7in Hadoop Kullanman\u0131n Avantajlar\u0131<\/strong><\/h2>\n<p>Hadoop piyasadaki en eski b\u00fcy\u00fck veri \u00e7\u00f6z\u00fcmlerinden biridir ve bu sistemi kullanman\u0131n bir\u00e7ok faydas\u0131 vard\u0131r.<\/p>\n<p>Hadoop&#8217;un en \u00f6nemli avantajlar\u0131 a\u015fa\u011f\u0131dakileri i\u00e7erir:<\/p>\n<ul>\n<li>Maliyet<\/li>\n<li>G\u00fc\u00e7<\/li>\n<li>Hata tolerans\u0131<\/li>\n<li>Esneklik<\/li>\n<li>Maliyet<\/li>\n<\/ul>\n<h3 id=\"1-maliyet\"><strong>1. Maliyet<\/strong><\/h3>\n<p>Herhangi bir i\u015f teknolojisi i\u00e7in en \u00f6nemli fakt\u00f6rlerden biri maliyettir. Hadoop&#8217;un en \u00f6nemli avantajlar\u0131ndan biri, onu kullanmayla ili\u015fkili maliyettir. Hadoop sistemi a\u00e7\u0131k kaynakl\u0131d\u0131r, bu nedenle i\u015fletmenizin pahal\u0131 yaz\u0131l\u0131m \u00e7\u00f6z\u00fcmleri i\u00e7in \u00f6deme yapmas\u0131 gerekmez.<\/p>\n<p>Buna ek olarak, Hadoop verileri depolamak i\u00e7in emtia donan\u0131m\u0131 kullan\u0131r, bu da i\u015fletmenizin pahal\u0131 donan\u0131m altyap\u0131s\u0131na yat\u0131r\u0131m yapmak zorunda kalmamas\u0131n\u0131 sa\u011flar. Hadoop muhtemelen t\u00fcm b\u00fcy\u00fck veri \u00e7\u00f6z\u00fcmleri aras\u0131nda i\u015fletmeler i\u00e7in en uygun maliyetli olan\u0131d\u0131r.<\/p>\n<h3 id=\"2-guc\"><strong>2. G\u00fc\u00e7\u00a0<\/strong><\/h3>\n<p>Hadoop&#8217;un da\u011f\u0131t\u0131lm\u0131\u015f bilgi i\u015flem kaynak modeli, i\u015fletmelerin b\u00fcy\u00fck verileri h\u0131zl\u0131 bir \u015fekilde i\u015flemesini sa\u011flar. Da\u011f\u0131t\u0131lm\u0131\u015f bilgi i\u015flem, i\u015fletmenizin yerinde sahip oldu\u011fundan daha fazla bilgi i\u015flem kayna\u011f\u0131na eri\u015fmesini sa\u011flar.<\/p>\n<p>Hadoop ile i\u015fletmeniz ne kadar \u00e7ok veri d\u00fc\u011f\u00fcm\u00fc kullan\u0131rsa, i\u015fleme yetenekleri de o kadar g\u00fc\u00e7l\u00fc olur. Hadoop&#8217;un fiyat noktas\u0131nda daha g\u00fc\u00e7l\u00fc bir b\u00fcy\u00fck veri sistemi bulamazs\u0131n\u0131z.<\/p>\n<p>Verilerini tam olarak kullanmak ve h\u0131zl\u0131 bir \u015fekilde i\u015flemek isteyen i\u015fletmeler Hadoop&#8217;un sundu\u011fu bilgi i\u015flem g\u00fcc\u00fcnden faydalanabilir.<\/p>\n<h3 id=\"3-hata-toleransi\"><strong>3. Hata Tolerans\u0131\u00a0<\/strong><\/h3>\n<p>Da\u011f\u0131t\u0131k bilgi i\u015flem, i\u015fletmelere sundu\u011fu muazzam bilgi i\u015flem g\u00fcc\u00fcn\u00fcn \u00f6tesinde faydalar sa\u011flar. Hadoop&#8217;un da\u011f\u0131t\u0131k bilgi i\u015flem modeli, donan\u0131m ar\u0131zas\u0131 durumunda veri i\u015flemlerinizin korunmas\u0131n\u0131 da sa\u011flar.<\/p>\n<p>Bir d\u00fc\u011f\u00fcm donan\u0131m ar\u0131zas\u0131 nedeniyle \u00e7evrimd\u0131\u015f\u0131 olursa, t\u00fcm veri g\u00f6revleri otomatik olarak etkin bir d\u00fc\u011f\u00fcme y\u00f6nlendirilir ve veri i\u015flemleri kesintisiz olarak devam eder.<\/p>\n<p>Donan\u0131m ar\u0131zas\u0131 nedeniyle de\u011ferli verileri kaybetmeyi veya i\u015fleme operasyonlar\u0131n\u0131n \u00e7evrimd\u0131\u015f\u0131 olmas\u0131n\u0131 g\u00f6ze alamazs\u0131n\u0131z. Hadoop&#8217;un da\u011f\u0131t\u0131k modeli, i\u015fletmelere b\u00fcy\u00fck veri operasyonlar\u0131nda g\u00fcven verebilecek g\u00fc\u00e7l\u00fc hata tolerans\u0131 sunar.<\/p>\n<h3 id=\"4-esneklik\"><strong>4. Esneklik<\/strong><\/h3>\n<p>Hadoop, veri depolama s\u00f6z konusu oldu\u011funda i\u015fletmelere \u00f6nemli bir esneklik sunar. Geleneksel ili\u015fkisel veri tabanlar\u0131nda, t\u00fcm veri formatlar\u0131n\u0131n tutarl\u0131 olmas\u0131n\u0131 sa\u011flamak i\u00e7in depolama \u00f6ncesinde t\u00fcm verilerin \u00f6nceden i\u015flenmesi gerekir.<\/p>\n<p>Hadoop, birden fazla kaynaktan gelen verilerin depolanmas\u0131n\u0131 kolayla\u015ft\u0131r\u0131r, \u00e7\u00fcnk\u00fc verilerin \u00f6nceden i\u015flenmesi veya belirli bir \u015fekilde yap\u0131land\u0131r\u0131lmas\u0131 gerekmez. Her t\u00fcrden veriyi toplayabilir ve i\u015fletmenizin istedi\u011fi \u015fekilde depolayabilirsiniz. Hadoop, i\u015fletmenizin verileri depolamas\u0131na ve daha sonra nas\u0131l kullan\u0131laca\u011f\u0131na karar vermesine olanak tan\u0131r.<\/p>\n<p>Ayr\u0131ca Hadoop son derece \u00f6l\u00e7eklenebilirdir ve bu da esnekli\u011fin en \u00fcst d\u00fczeyidir. Daha fazla depolama alan\u0131na veya daha fazla bilgi i\u015flem g\u00fcc\u00fcne ihtiya\u00e7 duyarsan\u0131z, ek d\u00fc\u011f\u00fcmler eklemek ve performans seviyelerini \u00e7ok az idari i\u015fle iyile\u015ftirmek kolayd\u0131r.<\/p>\n<h3 id=\"5-minimum-ag-trafigi\"><strong>5. Minimum A\u011f Trafi\u011fi<\/strong><\/h3>\n<p>Hadoop, her g\u00f6revi, her biri bir k\u00fcmedeki kullan\u0131labilir bir veri d\u00fc\u011f\u00fcm\u00fcne atanan birka\u00e7 k\u00fc\u00e7\u00fck alt g\u00f6reve b\u00f6ler. Her d\u00fc\u011f\u00fcm az miktarda veri i\u015fleyerek genel olarak daha az a\u011f trafi\u011fine olanak tan\u0131r.<\/p>\n<h3 id=\"6-yuksek-verim\"><strong>6. Y\u00fcksek Verim<\/strong><\/h3>\n<p>Hadoop&#8217;un da\u011f\u0131t\u0131lm\u0131\u015f dosya sistemi, bir k\u00fcme i\u00e7indeki \u00e7e\u015fitli d\u00fc\u011f\u00fcmlere \u00e7e\u015fitli i\u015fler atar. Paralel s\u00fcre\u00e7, y\u00fcksek verim sa\u011flar; bu da siz ve i\u015fletmeniz i\u00e7in daha fazla verimlilik ve \u00fcretkenlik anlam\u0131na gelir.<\/p>\n<h2 id=\"hadoopun-dezavantajlari\"><strong>Hadoop&#8217;un Dezavantajlar\u0131<\/strong><\/h2>\n<p>Bir\u00e7ok avantaj\u0131na ra\u011fmen, Hadoop ayn\u0131 zamanda baz\u0131 benzersiz zorluklar\u0131 da beraberinde getirir. Hadoop ile ilgili ak\u0131lda tutulmas\u0131 gereken en \u00f6nemli dezavantajlar\u0131ndan baz\u0131lar\u0131 a\u015fa\u011f\u0131dakileri i\u00e7erir:<\/p>\n<h3 id=\"1-kucuk-dosya-zorluklari\"><strong>1. K\u00fc\u00e7\u00fck Dosya Zorluklar\u0131<\/strong><\/h3>\n<p>Bu arac\u0131n en b\u00fcy\u00fck engellerinden biri bazen k\u00fc\u00e7\u00fck dosya boyutlar\u0131yla u\u011fra\u015fmas\u0131d\u0131r.<\/p>\n<p>Az say\u0131da b\u00fcy\u00fck boyutlu dosya i\u00e7in iyi \u00e7al\u0131\u015f\u0131r. Ancak tam tersi durumda, bir\u00e7ok k\u00fc\u00e7\u00fck dosya Namenode&#8217;a (HDFS Mimarisindeki ana d\u00fc\u011f\u00fcm) fazladan y\u00fck bindirebilir ve onun d\u00fczg\u00fcn \u00e7al\u0131\u015fmas\u0131na m\u00fcdahale edebilir.<\/p>\n<h3 id=\"2-potansiyel-guvenlik-sorunlari\"><strong>2. Potansiyel G\u00fcvenlik Sorunlar\u0131<\/strong><\/h3>\n<p>Hadoop \u00f6ncelikle d\u00fcnyan\u0131n en tan\u0131nm\u0131\u015f programlama dillerinden biri olan Java ile yaz\u0131lm\u0131\u015ft\u0131r. Temel olarak Java kullan\u0131yor olmas\u0131 onu daha az g\u00fcvenli hale getirir, \u00e7\u00fcnk\u00fc siber su\u00e7lular onu daha kolay anlay\u0131p istismar edebilir.<\/p>\n<h3 id=\"3-dik-ogrenme-egrisi\"><strong>3. Dik \u00d6\u011frenme E\u011frisi<\/strong><\/h3>\n<p>Hadoop \u00e7er\u00e7evesi, son kullan\u0131c\u0131lar\u0131n anlamas\u0131 ve \u00fczerinde \u00e7al\u0131\u015fmas\u0131 a\u00e7\u0131s\u0131ndan karma\u015f\u0131k olabilir. Mimari ayr\u0131ca kurulum, bak\u0131m ve g\u00fcncelleme i\u00e7in derinlemesine bilgi ve \u00f6nemli kaynaklar gerektirir.<\/p>\n<h2 id=\"hadoop-ne-icin-kullanilir\"><strong>Hadoop Ne \u0130\u00e7in Kullan\u0131l\u0131r?<\/strong><\/h2>\n<p>Hadoop&#8217;un baz\u0131 temel uygulamalar\u0131ndan baz\u0131lar\u0131 a\u015fa\u011f\u0131daki \u015fekildedir:<\/p>\n<h3 id=\"1-buyuk-veri-analitigi\"><strong>1. B\u00fcy\u00fck veri analiti\u011fi<\/strong><\/h3>\n<p>Hadoop&#8217;un pop\u00fclerli\u011finin ba\u015fl\u0131ca nedenlerinden biri, devasa veri k\u00fcmelerini i\u015fleme konusundaki yeterlili\u011fidir. B\u00fcy\u00fck yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f veri k\u00fcmelerini analiz etmek i\u00e7in bir platform sa\u011flar.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0Perakendeciler, \u00fcr\u00fcn tekliflerini uyarlamak, fiyatland\u0131rma stratejilerini optimize etmek ve m\u00fc\u015fteri hizmetlerini iyile\u015ftirmek i\u00e7in m\u00fc\u015fterilerin sat\u0131n alma al\u0131\u015fkanl\u0131klar\u0131n\u0131, tercihlerini ve geri bildirimlerini analiz eder.<\/p>\n<h3 id=\"2-gunluk-ve-tiklama-akisi-analizi\"><strong>2. G\u00fcnl\u00fck ve t\u0131klama ak\u0131\u015f\u0131 analizi<\/strong><\/h3>\n<p>G\u00fcnl\u00fck dosyalar\u0131 ve t\u0131klama ak\u0131\u015flar\u0131, kullan\u0131c\u0131 davran\u0131\u015f\u0131 verilerinden olu\u015fan bir hazine sa\u011flar. \u0130\u00e7g\u00f6r\u00fcler elde etmek i\u00e7in bu b\u00fcy\u00fck g\u00fcnl\u00fck setlerini i\u015fleyebilir.<\/p>\n<p><strong>\u00d6rnek:\u00a0<\/strong>Bir e-ticaret web sitesi, kullan\u0131c\u0131lar\u0131n sitede nas\u0131l gezindi\u011fini anlamak i\u00e7in g\u00fcnl\u00fckleri analiz edebilir, bu da kullan\u0131c\u0131 aray\u00fcz\u00fcn\u00fc iyile\u015ftirmek veya promosyonlar\u0131 uyarlamak i\u00e7in etkili olabilir.<\/p>\n<h3 id=\"3-veri-ambari-ve-is-zekasi-bi\"><strong>3. Veri ambar\u0131 ve i\u015f zekas\u0131 (BI)<\/strong><\/h3>\n<p>Farkl\u0131 kaynaklardan gelen b\u00fcy\u00fck miktarda veriyi da\u011f\u0131t\u0131lm\u0131\u015f bir \u015fekilde depolayabilir ve derinlemesine i\u015f i\u00e7g\u00f6r\u00fcleri sa\u011flamak i\u00e7in BI ara\u00e7lar\u0131yla entegre olabilir.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0Bir finans kurumu, \u00e7e\u015fitli sistemlerden gelen verileri Hadoop&#8217;ta birle\u015ftirebilir ve ard\u0131ndan pazar e\u011filimleri, m\u00fc\u015fteri segmentasyonu ve risk analizi hakk\u0131nda \u00f6ng\u00f6r\u00fcler elde etmek i\u00e7in BI ara\u00e7lar\u0131n\u0131 kullanabilir.<\/p>\n<h3 id=\"4-icerik-onerisi\"><strong>4. \u0130\u00e7erik \u00f6nerisi<\/strong><\/h3>\n<p>Ki\u015fiselle\u015ftirme g\u00fcn\u00fcm\u00fcz\u00fcn dijital \u00e7a\u011f\u0131nda hayati \u00f6neme sahiptir. \u00d6zel i\u00e7erik veya \u00fcr\u00fcn \u00f6nerileri sa\u011flamak i\u00e7in kullan\u0131c\u0131 verilerini i\u015fleyebilir ve analiz edebilir.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0Netflix veya Spotify gibi yay\u0131n hizmetleri, \u015fov, film veya m\u00fczik \u00f6nermek i\u00e7in s\u0131ras\u0131yla kullan\u0131c\u0131n\u0131n izleme veya dinleme al\u0131\u015fkanl\u0131klar\u0131n\u0131 analiz eder.<\/p>\n<h3 id=\"5-goruntu-ve-video-analizi\"><strong>5. G\u00f6r\u00fcnt\u00fc ve video analizi<\/strong><\/h3>\n<p>G\u00f6r\u00fcnt\u00fc ve video verilerinin i\u015flenmesi b\u00fcy\u00fck dosyalar\u0131n analizini gerektirir. Hadoop, da\u011f\u0131t\u0131lm\u0131\u015f veri i\u015fleme kapasitesiyle bunu verimli bir \u015fekilde halledebilir.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0Sa\u011fl\u0131k hizmetlerinde t\u0131bbi g\u00f6r\u00fcnt\u00fcleme dosyalar\u0131, kal\u0131plar\u0131 veya anormallikleri tespit etmek ve te\u015fhislere yard\u0131mc\u0131 olmak i\u00e7in i\u015flenebilir.<\/p>\n<h3 id=\"6-bilimsel-simulasyon-ve-veri-isleme\"><strong>6. Bilimsel sim\u00fclasyon ve veri i\u015fleme<\/strong><\/h3>\n<p>Ayn\u0131 zamanda bilim toplulu\u011fu taraf\u0131ndan sim\u00fclasyonlar\u0131 y\u00fcr\u00fctmek ve sonu\u00e7ta ortaya \u00e7\u0131kan geni\u015f veri k\u00fcmelerini i\u015flemek i\u00e7in de kullan\u0131l\u0131r.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0\u0130klim bilimcileri, \u00e7e\u015fitli parametrelere ve ge\u00e7mi\u015f verilere dayal\u0131 olarak k\u00fcresel iklim de\u011fi\u015fikliklerini sim\u00fcle etmek ve analiz etmek i\u00e7in Hadoop&#8217;u kullanabilir.<\/p>\n<h3 id=\"7-arama-kalitesinin-iyilestirilmesi\"><strong>7. Arama kalitesinin iyile\u015ftirilmesi<\/strong><\/h3>\n<p>Arama motorlar\u0131, arama sonu\u00e7lar\u0131n\u0131 iyile\u015ftirmek i\u00e7in b\u00fcy\u00fck miktarda veriyi i\u015fler. Bu verilerin saklanmas\u0131na ve analiz edilmesine yard\u0131mc\u0131 olur.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0Bir arama motoru \u015firketi, arama sonu\u00e7lar\u0131n\u0131n alaka d\u00fczeyini s\u00fcrekli olarak iyile\u015ftirmek i\u00e7in kullan\u0131c\u0131 arama sorgular\u0131n\u0131, t\u0131klama oranlar\u0131n\u0131 ve web sitesi geri bildirimlerini analiz edebilir.<\/p>\n<h3 id=\"8-dolandiricilik-tespiti-ve-onlenmesi\"><strong>8. Doland\u0131r\u0131c\u0131l\u0131k tespiti ve \u00f6nlenmesi<\/strong><\/h3>\n<p>\u0130\u015flem verileri ve kullan\u0131c\u0131 davran\u0131\u015f\u0131 analiz edilerek, doland\u0131r\u0131c\u0131l\u0131k faaliyetini g\u00f6steren modeller tespit edilebilir.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0Kredi kart\u0131 \u015firketleri, yerle\u015fik kal\u0131plara dayal\u0131 olarak potansiyel sahtekarl\u0131k i\u015flemlerini belirlemek i\u00e7in Hadoop&#8217;u kullanarak milyonlarca i\u015flemi ger\u00e7ekle\u015ftirebilir.<\/p>\n<h3 id=\"9-sosyal-medya-analizi\"><strong>9. Sosyal medya analizi<\/strong><\/h3>\n<p>Sosyal platformlar her saniye b\u00fcy\u00fck miktarda kullan\u0131c\u0131 verisi \u00fcretir. Kullan\u0131c\u0131 davran\u0131\u015flar\u0131, tercihleri ve trendleri hakk\u0131nda \u00f6ng\u00f6r\u00fcler elde etmek i\u00e7in bu verileri i\u015fleyebilir.<\/p>\n<p><strong>\u00d6rnek:<\/strong>\u00a0Bir \u015firket, kamuoyunun duyarl\u0131l\u0131\u011f\u0131n\u0131 \u00f6l\u00e7mek veya ortaya \u00e7\u0131kan e\u011filimleri belirlemek i\u00e7in \u00fcr\u00fcn\u00fcyle ilgili tweet&#8217;leri veya g\u00f6nderileri analiz edebilir.<\/p>\n<p><span style=\"font-weight: 400;\">Bulutistan hizmetlerinin detaylar\u0131na ula\u015fmak i\u00e7in<\/span><a href=\"https:\/\/bulutistan.com\/cloud\/\"> <span style=\"font-weight: 400;\">t\u0131klay\u0131n\u0131z<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2 id=\"hadoop-alternatifleri\"><strong>Hadoop Alternatifleri<\/strong><\/h2>\n<h3 id=\"1-apache-spark\"><strong>1. Apache Spark\u00a0<\/strong><\/h3>\n<p>Spark \u00e7er\u00e7evesi Hadoop&#8217;un en pop\u00fcler alternatifidir. Apache bunu Hadoop i\u00e7in eklenebilir bir toplu i\u015fleme sistemi olarak olu\u015fturdu, ancak art\u0131k ba\u011f\u0131ms\u0131z olarak \u00e7al\u0131\u015f\u0131r. Hadoop&#8217;a g\u00f6re ana avantaj\u0131, yapay zeka ve derin \u00f6\u011frenmenin y\u00fckseli\u015fi g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, yaz\u0131l\u0131m \u015firketlerinin giderek artan bir odak noktas\u0131 olan ak\u0131\u015f (ger\u00e7ek zamanl\u0131) i\u015fleme deste\u011fidir.<\/p>\n<p>Spark, disk tabanl\u0131 i\u015flemeye de\u011fil, bellek i\u00e7i i\u015flemeye g\u00fcvenerek ak\u0131\u015f i\u015flemeyi destekler. Bu yakla\u015f\u0131m Hadoop&#8217;tan \u00e7ok daha b\u00fcy\u00fck bir verim sa\u011flar.<\/p>\n<h3 id=\"2-apache-storm\"><strong>2. Apache Storm<\/strong><\/h3>\n<p>Storm, ger\u00e7ek zamanl\u0131 i\u015fleme i\u00e7in tasarlanm\u0131\u015f ba\u015fka bir Apache arac\u0131d\u0131r. Sistem kapat\u0131lana veya kesintiye u\u011frayana kadar s\u00fcrekli \u00e7al\u0131\u015fan i\u015f ak\u0131\u015f\u0131 topolojilerini kullan\u0131r. Storm, dosyalar\u0131 HDFS&#8217;ye okur ve yazar, ancak Hadoop k\u00fcmesinde \u00e7al\u0131\u015famaz (bunun yerine Zookeeper&#8217;a g\u00fcvenir).<\/p>\n<p>Storm ve Hadoop aras\u0131ndaki en b\u00fcy\u00fck fark, verileri nas\u0131l i\u015fledikleridir. Hadoop, verileri al\u0131r ve daha sonra kullan\u0131lmak \u00fczere HDFS&#8217;ye geri \u00e7ekmeden \u00f6nce i\u015flenmek \u00fczere d\u00fc\u011f\u00fcmler aras\u0131nda da\u011f\u0131t\u0131r. Storm, verileri i\u015flemek i\u00e7in bu ayr\u0131 ba\u015flang\u0131\u00e7 ve biti\u015ften yoksundur; kendisine beslenen verileri s\u00fcrekli bir ak\u0131\u015fta d\u00f6n\u00fc\u015ft\u00fcr\u00fcp analiz ederek karma\u015f\u0131k olay i\u015flemeyi (CEP) m\u00fcmk\u00fcn k\u0131lar.<\/p>\n<h3 id=\"3-ceph\"><strong>3. Ceph<\/strong><\/h3>\n<p>Bu platform, nesneleri a\u011f boyunca da\u011f\u0131t\u0131lm\u0131\u015f tek bir d\u00fc\u011f\u00fcmde depolayarak nesne, dosya ve blok d\u00fczeyinde depolamay\u0131 kolayla\u015ft\u0131r\u0131r. Hadoop&#8217;tan ana ay\u0131rt edici \u00f6zelli\u011fi, tek bir hata noktas\u0131 olmayan, tamamen da\u011f\u0131t\u0131lm\u0131\u015f mimaridir.<\/p>\n<p>Ceph verileri kopyalar ve hataya dayan\u0131kl\u0131d\u0131r, bu da \u00f6zel donan\u0131m ihtiyac\u0131n\u0131 ortadan kald\u0131r\u0131r. Sunucu k\u00fcmesi hatalar\u0131n\u0131n h\u0131zl\u0131 tan\u0131mlanmas\u0131n\u0131 ve d\u00fczeltilmesini sa\u011flayarak y\u00f6netim maliyetlerinin azalt\u0131lmas\u0131na yard\u0131mc\u0131 olur. HDFS olmadan Hadoop&#8217;tan Ceph depolama alan\u0131na eri\u015febilirsiniz.<\/p>\n<p>Ceph, b\u00fcy\u00fck dosya sistemlerini y\u00f6netme konusunda Hadoop&#8217;tan daha iyi performans g\u00f6sterir. HDFS&#8217;nin merkezi tasar\u0131m\u0131, tek bir hata noktas\u0131 olu\u015fturarak verilerin dosya ve klas\u00f6rler halinde d\u00fczenlenmesini daha az uygun hale getirir.<\/p>\n<h3 id=\"4-hydra\"><strong>4. Hydra<\/strong><\/h3>\n<p>Bu da\u011f\u0131t\u0131lm\u0131\u015f i\u015fleme sistemi, bir\u00e7ok b\u00fcy\u00fck veri g\u00f6revini Hadoop&#8217;tan daha iyi ger\u00e7ekle\u015ftirebilir. Toplu i\u015flemleri ve ak\u0131\u015f\u0131 destekler. Hydra, verileri bir\u00e7ok k\u00fcmedeki a\u011fa\u00e7larda depolar ve i\u015fler ve y\u00fczlerce d\u00fc\u011f\u00fcm i\u00e7eren k\u00fcmeleri i\u015fleyebilir.<\/p>\n<p>Hydra&#8217;n\u0131n i\u015fleri otomatik olarak yeniden dengelemek ve k\u00fcmelere tahsis etmek i\u00e7in bir k\u00fcme y\u00f6neticisi vard\u0131r. Hata tolerans\u0131n\u0131 sa\u011flamak i\u00e7in veri \u00e7o\u011faltmay\u0131 ve otomatik d\u00fc\u011f\u00fcm hatas\u0131 i\u015flemeyi kullan\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"Hadoop, kullan\u0131c\u0131lar\u0131n b\u00fcy\u00fck miktarlarda yap\u0131land\u0131r\u0131lm\u0131\u015f veriyi ve yap\u0131land\u0131r\u0131lmam\u0131\u015f veriyi depolamas\u0131na, i\u015flemesine ve analiz etmesine olanak tan\u0131yan a\u00e7\u0131k kaynakl\u0131&hellip;\n","protected":false},"author":1,"featured_media":4332,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_singular_sidebar":"","csco_page_header_type":"","csco_appearance_grid":"","csco_page_load_nextpost":"","csco_post_video_location":[],"csco_post_video_location_hash":"","csco_post_video_url":"","csco_post_video_bg_start_time":0,"csco_post_video_bg_end_time":0},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Hadoop Nedir? 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