{"id":579720,"date":"2023-12-28T03:11:06","date_gmt":"2023-12-28T03:11:06","guid":{"rendered":"https:\/\/proxyelite.info\/glossary\/hadoop\/"},"modified":"2023-12-28T03:11:06","modified_gmt":"2023-12-28T03:11:06","slug":"hadoop","status":"publish","type":"glossary","link":"https:\/\/proxyelite.info\/tr\/glossary\/hadoop\/","title":{"rendered":"Hadoop"},"content":{"rendered":"

Hadoop hakk\u0131nda k\u0131sa bilgi<\/h2>\n

Hadoop, b\u00fcy\u00fck miktarda veriyi i\u015flemek ve y\u00f6netmek i\u00e7in tasarlanm\u0131\u015f a\u00e7\u0131k kaynakl\u0131, da\u011f\u0131t\u0131lm\u0131\u015f bir bilgi i\u015flem \u00e7er\u00e7evesidir. 2005 y\u0131l\u0131nda Doug Cut ve Mike Cafarella taraf\u0131ndan olu\u015fturuldu ve \u015fu anda Apache Yaz\u0131l\u0131m Vakf\u0131 taraf\u0131ndan korunuyor. Hadoop, b\u00fcy\u00fck \u00f6l\u00e7ekli veri i\u015flemeyi verimli ve uygun maliyetli bir \u015fekilde ger\u00e7ekle\u015ftirme becerisiyle \u00fcnl\u00fcd\u00fcr. Bu makale Hadoop'un inceliklerini ele al\u0131yor, temel \u00f6zelliklerini, t\u00fcrlerini, uygulamalar\u0131n\u0131 ve proxy sunucular d\u00fcnyas\u0131yla ilgisini ara\u015ft\u0131r\u0131yor.<\/p>\n

Hadoop hakk\u0131nda detayl\u0131 bilgi<\/h2>\n

Hadoop, geni\u015f veri k\u00fcmelerinin i\u015flenmesindeki zorluklar\u0131 \u00e7\u00f6zen g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r. \u0130ki ana bile\u015fenin temeli \u00fczerine kurulmu\u015ftur: Hadoop Da\u011f\u0131t\u0131lm\u0131\u015f Dosya Sistemi (HDFS) ve MapReduce programlama modeli.<\/p>\n

Hadoop Da\u011f\u0131t\u0131lm\u0131\u015f Dosya Sistemi (HDFS)<\/h3>\n

HDFS, verileri bir ticari donan\u0131m k\u00fcmesinde depolamak ve y\u00f6netmek i\u00e7in tasarlanm\u0131\u015ft\u0131r. B\u00fcy\u00fck dosyalar\u0131 daha k\u00fc\u00e7\u00fck bloklara (genellikle 128MB veya 256MB) b\u00f6ler ve hata tolerans\u0131 i\u00e7in bunlar\u0131 k\u00fcmedeki birden fazla d\u00fc\u011f\u00fcme kopyalar. Bu da\u011f\u0131t\u0131lm\u0131\u015f depolama sistemi, verilerin y\u00fcksek d\u00fczeyde kullan\u0131labilirli\u011fini ve g\u00fcvenilirli\u011fini sa\u011flar.<\/p>\n

Harita indirgeme<\/h3>\n

MapReduce, paralelle\u015ftirilebilir b\u00fcy\u00fck veri k\u00fcmelerini i\u015flemek ve olu\u015fturmak i\u00e7in kullan\u0131lan bir programlama modelidir. Verileri daha k\u00fc\u00e7\u00fck par\u00e7alara b\u00f6ler ve bunlar\u0131 k\u00fcme genelinde paralel olarak i\u015fler. MapReduce i\u015fleri iki ana a\u015famadan olu\u015fur: verileri filtreleyen ve s\u0131ralayan \u201cHarita\u201d a\u015famas\u0131 ve \u00f6zetleme ve toplama i\u015flemlerini ger\u00e7ekle\u015ftiren \u201cAzaltma\u201d a\u015famas\u0131.<\/p>\n

Hadoop'un temel \u00f6zelliklerinin analizi<\/h2>\n

Hadoop, onu b\u00fcy\u00fck veri i\u015fleme i\u00e7in pop\u00fcler bir se\u00e7im haline getiren \u00e7e\u015fitli temel \u00f6zellikler sunar:<\/p>\n

    \n
  1. \n

    \u00d6l\u00e7eklenebilirlik<\/strong>: Hadoop, k\u00fcmeye daha fazla d\u00fc\u011f\u00fcm ekleyerek artan veri ihtiya\u00e7lar\u0131n\u0131 kar\u015f\u0131layarak yatay olarak \u00f6l\u00e7eklenebilir.<\/p>\n<\/li>\n

  2. \n

    Hata Tolerans\u0131<\/strong>: HDFS, verileri d\u00fc\u011f\u00fcmler aras\u0131nda \u00e7o\u011falt\u0131r ve bir d\u00fc\u011f\u00fcm ba\u015far\u0131s\u0131z olsa bile verilerin kullan\u0131labilir kalmas\u0131n\u0131 sa\u011flar.<\/p>\n<\/li>\n

  3. \n

    Uygun Maliyetli<\/strong>: Hadoop, ticari donan\u0131mdan yararlanarak altyap\u0131 maliyetlerini azalt\u0131r.<\/p>\n<\/li>\n

  4. \n

    Esneklik<\/strong>: Yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f verileri i\u015fleyebilir, bu da onu \u00e7e\u015fitli veri t\u00fcrleri i\u00e7in \u00e7ok y\u00f6nl\u00fc hale getirir.<\/p>\n<\/li>\n

  5. \n

    Paralel \u0130\u015fleme<\/strong>: MapReduce paralel veri i\u015flemeye olanak tan\u0131yarak hesaplamalar\u0131n daha h\u0131zl\u0131 yap\u0131lmas\u0131n\u0131 sa\u011flar.<\/p>\n<\/li>\n<\/ol>\n

    Hadoop T\u00fcrleri<\/h2>\n

    Hadoop'un her biri kendine \u00f6zg\u00fc \u00f6zellikler ve ara\u00e7lar sunan \u00e7e\u015fitli da\u011f\u0131t\u0131mlar\u0131 vard\u0131r. \u0130\u015fte pop\u00fcler olanlardan baz\u0131lar\u0131:<\/p>\n\n\n\n\n\n\n\n\n
    Da\u011f\u0131t\u0131m<\/th>\nTan\u0131m<\/th>\n<\/tr>\n<\/thead>\n
    Apache Hadoop<\/td>\nA\u00e7\u0131k kaynakl\u0131 \u00e7ekirdek Hadoop da\u011f\u0131t\u0131m\u0131.<\/td>\n<\/tr>\n
    Cloudera CDH<\/td>\nVeri y\u00f6netimi i\u00e7in ek ara\u00e7lar sunar.<\/td>\n<\/tr>\n
    Hortonworks HDP<\/td>\nKurumsal d\u00fczeyde \u00f6zelliklere ve g\u00fcvenli\u011fe odaklan\u0131r.<\/td>\n<\/tr>\n
    HaritaR<\/td>\nY\u00fcksek performansl\u0131 HDFS uygulamas\u0131yla tan\u0131n\u0131r.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Hadoop'u kullanma yollar\u0131, sorunlar ve \u00e7\u00f6z\u00fcmleri<\/h2>\n

    Hadoop; finans, sa\u011fl\u0131k hizmetleri, e-ticaret ve daha fazlas\u0131 dahil olmak \u00fczere \u00e7e\u015fitli sekt\u00f6rlerde uygulama alan\u0131 bulur. Ancak Hadoop'u etkili bir \u015fekilde kullanmak veri g\u00fcvenli\u011fi, kaynak y\u00f6netimi ve karma\u015f\u0131k yap\u0131land\u0131rma gibi zorluklara yol a\u00e7abilir. \u00c7\u00f6z\u00fcmler, SQL sorgular\u0131 i\u00e7in Apache Hive ve veri analizi i\u00e7in Apache Pig gibi Hadoop ekosistemlerinin kullan\u0131m\u0131n\u0131 i\u00e7erir.<\/p>\n

    Ana \u00f6zellikler ve di\u011fer kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n

    Hadoop'u benzer terimlerle kar\u015f\u0131la\u015ft\u0131ral\u0131m:<\/p>\n\n\n\n\n\n\n\n
    Terim<\/th>\nTan\u0131m<\/th>\n<\/tr>\n<\/thead>\n
    K\u0131v\u0131lc\u0131m<\/td>\nGer\u00e7ek zamanl\u0131 analizlere uygun, bellek i\u00e7i i\u015fleme olana\u011f\u0131 sunar.<\/td>\n<\/tr>\n
    NoSQL Veritabanlar\u0131<\/td>\nYap\u0131land\u0131r\u0131lmam\u0131\u015f ve yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f veriler i\u00e7in tasarlanm\u0131\u015ft\u0131r; Hadoop ise hem yap\u0131land\u0131r\u0131lm\u0131\u015f hem de yap\u0131land\u0131r\u0131lmam\u0131\u015f verileri i\u015fleyebilir.<\/td>\n<\/tr>\n
    Veri depolama<\/td>\nVeri depolama ve almaya odaklan\u0131rken Hadoop daha \u00e7ok i\u015fleme ve analizle ilgilidir.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Hadoop ile ilgili gelece\u011fin perspektifleri ve teknolojileri<\/h2>\n

    Hadoop, geli\u015fmi\u015f kaynak y\u00f6netimi ve kapsay\u0131c\u0131la\u015ft\u0131rma sunan Hadoop 3.0 gibi geli\u015fmelerle geli\u015fmeye devam ediyor. Ayr\u0131ca TensorFlow ve PyTorch gibi makine \u00f6\u011frenimi kitapl\u0131klar\u0131n\u0131n entegrasyonu geli\u015fmi\u015f analizlerin kap\u0131lar\u0131n\u0131 a\u00e7ar.<\/p>\n

    Proxy sunucular nas\u0131l kullan\u0131labilir veya Hadoop ile nas\u0131l ili\u015fkilendirilebilir?<\/h2>\n

    Proxy sunucular\u0131 Hadoop k\u00fcmelerinin optimize edilmesinde \u00e7ok \u00f6nemli bir rol oynar. Bir a\u011f ge\u00e7idi g\u00f6revi g\u00f6rerek g\u00fcvenli\u011fi art\u0131rabilir, eri\u015fimi kontrol edebilir ve s\u0131k istenen verileri \u00f6nbelle\u011fe alarak performans\u0131 art\u0131rabilirler. ProxyElite, bir proxy sunucu sa\u011flay\u0131c\u0131s\u0131 olarak, proxy sunucular\u0131n\u0131 Hadoop altyap\u0131n\u0131zla sorunsuz \u00e7al\u0131\u015facak \u015fekilde yap\u0131land\u0131rman\u0131za ve y\u00f6netmenize yard\u0131mc\u0131 olabilir.<\/p>\n

    \u0130lgili Ba\u011flant\u0131lar<\/h2>\n

    Hadoop hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 inceleyebilirsiniz:<\/p>\n

      \n
    1. Resmi Apache Hadoop Web Sitesi<\/a><\/li>\n
    2. Cloudera CDH Belgeleri<\/a><\/li>\n
    3. Hortonworks HDP'ye Genel Bak\u0131\u015f<\/a><\/li>\n
    4. MapR Hadoop Da\u011f\u0131t\u0131m\u0131<\/a><\/li>\n<\/ol>\n

      Sonu\u00e7 olarak Hadoop, b\u00fcy\u00fck veri d\u00fcnyas\u0131nda kurulu\u015flar\u0131n b\u00fcy\u00fck veri k\u00fcmelerini verimli bir \u015fekilde i\u015flemesine ve analiz etmesine olanak tan\u0131yan hayati bir ara\u00e7t\u0131r. Proxy sunucularla birlikte kullan\u0131ld\u0131\u011f\u0131nda g\u00fcvenli\u011fi ve performans\u0131 art\u0131rabilir, bu da onu b\u00fcy\u00fck \u00f6l\u00e7ekli veri i\u015flemeyle u\u011fra\u015fan i\u015fletmeler i\u00e7in daha da de\u011ferli bir varl\u0131k haline getirebilir.<\/p>","protected":false},"featured_media":579721,"menu_order":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-579720","glossary","type-glossary","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/proxyelite.info\/tr\/wp-json\/wp\/v2\/glossary\/579720","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/proxyelite.info\/tr\/wp-json\/wp\/v2\/glossary"}],"about":[{"href":"https:\/\/proxyelite.info\/tr\/wp-json\/wp\/v2\/types\/glossary"}],"version-history":[{"count":0,"href":"https:\/\/proxyelite.info\/tr\/wp-json\/wp\/v2\/glossary\/579720\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/proxyelite.info\/tr\/wp-json\/wp\/v2\/media\/579721"}],"wp:attachment":[{"href":"https:\/\/proxyelite.info\/tr\/wp-json\/wp\/v2\/media?parent=579720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}