{"id":476672,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:12","modified_gmt":"2023-09-05T11:13:12","slug":"data-mesh","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-mesh\/","title":{"rendered":"Veri a\u011f\u0131"},"content":{"rendered":"

Veri a\u011f\u0131, veri alanlar\u0131n\u0131n merkezile\u015ftirilmesine daha fazla vurgu yapan, verileri y\u00f6netmeye ve tasarlamaya y\u00f6nelik yeni bir yakla\u015f\u0131md\u0131r. Kurulu\u015flar ve sistemler b\u00fcy\u00fcd\u00fck\u00e7e ve daha karma\u015f\u0131k hale geldik\u00e7e, monolitik veri g\u00f6lleri veya depolar gibi geleneksel veri i\u015fleme y\u00f6ntemlerinin daha az uygulanabilir ve etkili hale geldi\u011finin kabul edilmesinden kaynaklanmaktad\u0131r.<\/p>\n

Veri Meshinin Ortaya \u00c7\u0131k\u0131\u015f\u0131<\/h2>\n

Veri a\u011f\u0131 ilk kez 2019 civar\u0131nda ortaya \u00e7\u0131kt\u0131 ve ThinkWorks dan\u0131\u015fman\u0131 Zhamak Dehghani taraf\u0131ndan ortaya at\u0131ld\u0131. \u0130lk fikir, geleneksel veri mimarisinin \u00f6l\u00e7eklendirilmesiyle ilgili artan karma\u015f\u0131kl\u0131klara ve zorluklara yan\u0131t olarak geli\u015ftirildi. \u015eirketler ve kurulu\u015flar daha kapsaml\u0131 ve \u00e7e\u015fitli veri k\u00fcmeleriyle u\u011fra\u015fmaya ba\u015flad\u0131k\u00e7a, veri y\u00f6netimine y\u00f6nelik daha merkezi olmayan bir yakla\u015f\u0131ma duyulan ihtiya\u00e7 giderek daha a\u00e7\u0131k hale geldi. B\u00f6ylece veri a\u011f\u0131 kavram\u0131 do\u011fdu ve o zamandan beri geli\u015fiyor.<\/p>\n

Veri A\u011f\u0131n\u0131n Derinle\u015ftirilmesi<\/h2>\n

Veri a\u011f\u0131 \u00f6z\u00fcnde merkezi veri sahipli\u011finden da\u011f\u0131t\u0131lm\u0131\u015f veri sahipli\u011fine do\u011fru bir paradigma de\u011fi\u015fimidir. B\u00fcy\u00fck \u00f6l\u00e7ekli veri mimarisini daha k\u00fc\u00e7\u00fck, daha y\u00f6netilebilir, etki alan\u0131 odakl\u0131 merkezi olmayan d\u00fc\u011f\u00fcmlere ay\u0131r\u0131r. Bu d\u00fc\u011f\u00fcmlerin veya "veri \u00fcr\u00fcnlerinin" her biri ba\u011f\u0131ms\u0131z olarak ayr\u0131 ekiplere aittir.<\/p>\n

Veri a\u011f\u0131 yakla\u015f\u0131m\u0131n\u0131n temel amac\u0131, b\u00fcy\u00fck verilerin getirdi\u011fi karma\u015f\u0131kl\u0131klar\u0131n \u00fcstesinden gelmektir. Modern i\u015fletmeler ba\u011flam\u0131nda verilerin hem geni\u015f hem de \u00e7e\u015fitli oldu\u011funu ve kurulu\u015f i\u00e7indeki \u00e7e\u015fitli alanlara yay\u0131ld\u0131\u011f\u0131n\u0131 kabul eder.<\/p>\n

Veri A\u011f\u0131n\u0131n Anatomisi<\/h2>\n

Bir veri a\u011f\u0131 mimarisi, verilerin kontrol\u00fcn\u00fc ve y\u00f6netimini merkezile\u015ftirerek \u00e7al\u0131\u015f\u0131r ve bir \u015firket i\u00e7indeki farkl\u0131 ekiplerin kendi verilerini ayr\u0131 "veri \u00fcr\u00fcnleri" olarak y\u00f6netmesine olanak tan\u0131r. Her veri \u00fcr\u00fcn\u00fc, toplamadan depolamaya ve kullan\u0131ma kadar kendi ya\u015fam d\u00f6ng\u00fcs\u00fcyle ba\u011f\u0131ms\u0131z olarak korunur.<\/p>\n

Bu yakla\u015f\u0131m, geleneksel, monolitik ve merkezi veri mimarilerini etkili bir \u015fekilde daha y\u00f6netilebilir b\u00f6l\u00fcmlere ay\u0131rarak daha sa\u011flam, \u00f6l\u00e7eklenebilir ve uyarlanabilir veri altyap\u0131s\u0131 sa\u011flar. Etki alan\u0131 ekiplerine, verilerinin kalitesinden, y\u00f6netiminden ve operasyonlar\u0131ndan sorumlu olan \u00fcr\u00fcn sahipleri olarak hareket etme yetkisi verir.<\/p>\n

Veri Meshinin Temel \u00d6zellikleri<\/h2>\n

Veri a\u011f\u0131 mimarisinin temel \u00f6zellikleri \u015fu \u015fekilde \u00f6zetlenebilir:<\/p>\n

    \n
  1. Merkezi olmayan y\u00f6netim<\/strong>: Veriler, tek bir merkezi veri g\u00f6l\u00fcne veya ambar\u0131na sahip olmak yerine birka\u00e7 \u00f6zerk ekip taraf\u0131ndan y\u00f6netilir.<\/li>\n
  2. Etki alan\u0131 odakl\u0131<\/strong>: Her veri \u00fcr\u00fcn\u00fc belirli bir i\u015f alan\u0131na \u00f6zeldir ve uzmanla\u015fm\u0131\u015f, odaklanm\u0131\u015f veri y\u00f6netimine olanak tan\u0131r.<\/li>\n
  3. \u00dcr\u00fcn odakl\u0131<\/strong>: Veriler bir \u00fcr\u00fcn olarak ele al\u0131n\u0131r ve ekipler t\u00fcm ya\u015fam d\u00f6ng\u00fcs\u00fc boyunca veri \u00fcr\u00fcnlerinin tam sahipli\u011fini al\u0131r.<\/li>\n
  4. Self servis altyap\u0131s\u0131<\/strong>: Veri altyap\u0131s\u0131 her ekibin verilerini otonom olarak y\u00f6netebilece\u011fi \u015fekilde kurgulanarak ba\u011f\u0131ml\u0131l\u0131klar azalt\u0131l\u0131r.<\/li>\n<\/ol>\n

    Veri A\u011f\u0131 T\u00fcrleri<\/h2>\n

    Veri a\u011f\u0131 fikri spesifik olsa da uygulanmas\u0131 organizasyonun b\u00fcy\u00fckl\u00fc\u011f\u00fcne, yap\u0131s\u0131na ve ihtiya\u00e7lar\u0131na g\u00f6re de\u011fi\u015fiklik g\u00f6sterebilir. Her "t\u00fcr" \u00f6ncelikle kurulu\u015f i\u00e7indeki veri etki alanlar\u0131 taraf\u0131ndan tan\u0131mlan\u0131r. Bunlar i\u015fin farkl\u0131 y\u00f6nlerine g\u00f6re s\u0131n\u0131fland\u0131r\u0131labilir, \u00f6rne\u011fin:<\/p>\n

      \n
    1. Operasyonel Alanlar<\/strong>: Bu t\u00fcr, sat\u0131\u015f, pazarlama, lojistik vb. dahil olmak \u00fczere i\u015fletmenin g\u00fcnl\u00fck operasyonlar\u0131n\u0131 ifade eder.<\/li>\n
    2. Analitik Alanlar<\/strong>: Bunlar, i\u015f zekas\u0131 veya analitik ekipleri gibi verilerin \u00f6ncelikli olarak analiz ve karar verme i\u00e7in kullan\u0131ld\u0131\u011f\u0131 alanlar\u0131 ifade eder.<\/li>\n
    3. Deneyim Alanlar\u0131<\/strong>: Bunlar m\u00fc\u015fteri deste\u011fi veya kullan\u0131c\u0131 aray\u00fcz\u00fc tasar\u0131m ekipleri gibi m\u00fc\u015fteri deneyimiyle ilgili alanlard\u0131r.<\/li>\n<\/ol>\n

      Bu alanlar\u0131n her biri, veri a\u011f\u0131 mimarisi alt\u0131nda kendi ba\u011f\u0131ms\u0131z veri \u00fcr\u00fcn\u00fcne sahip olacakt\u0131r.<\/p>\n

      Veri A\u011f\u0131 Uygulamalar\u0131 ve Zorluklar\u0131<\/h2>\n

      Veri a\u011f\u0131, verilerin \u00e7ok geni\u015f ve \u00e7e\u015fitli oldu\u011fu b\u00fcy\u00fck \u00f6l\u00e7ekli organizasyonlarda \u00f6zellikle etkilidir. Daha hassas kontrole, daha iyi veri y\u00f6netimine ve geli\u015fmi\u015f \u00f6l\u00e7eklenebilirli\u011fe olanak tan\u0131r. Ancak veri a\u011f\u0131n\u0131n uygulanmas\u0131nda zorluklar da var. Kurulu\u015fta, verileri bir \u00fcr\u00fcn olarak ele alma ve da\u011f\u0131t\u0131lm\u0131\u015f sorumlulu\u011fu benimseme y\u00f6n\u00fcnde k\u00fclt\u00fcrel bir de\u011fi\u015fim gerektirir.<\/p>\n

      Bu zorluklar\u0131n \u00e7\u00f6z\u00fcm\u00fc \u00f6ncelikle yeterli e\u011fitim ve geli\u015ftirmeyi, veri sahipli\u011fi k\u00fclt\u00fcr\u00fcn\u00fcn te\u015fvik edilmesini ve veri a\u011f\u0131 mimarisine ge\u00e7i\u015fi kolayla\u015ft\u0131rmak i\u00e7in sa\u011flam teknoloji ve ara\u00e7lar\u0131n mevcut olmas\u0131n\u0131 sa\u011flamay\u0131 i\u00e7erir.<\/p>\n

      Benzer Terimlerle Kar\u015f\u0131la\u015ft\u0131rma<\/h2>\n

      Veri a\u011f\u0131 nispeten yeni bir kavram olsa da benzerleri de vard\u0131r. \u00d6rne\u011fin, veri g\u00f6lleri, veri ambarlar\u0131 ve veri merkezleri gibi kavramlar\u0131n t\u00fcm\u00fc, b\u00fcy\u00fck hacimli verilerin y\u00f6netimi ve depolanmas\u0131yla ilgilidir. Ancak a\u015fa\u011f\u0131daki tablo aralar\u0131ndaki temel farkl\u0131l\u0131klar\u0131 g\u00f6stermektedir:<\/p>\n\n\n\n\n\n\n\n\n
      Konsept<\/th>\nMerkezi\/Merkezi Olmayan<\/th>\nVeri Sahipli\u011fi<\/th>\n\u00d6l\u00e7eklenebilirlik<\/th>\n<\/tr>\n<\/thead>\n
      Veri A\u011f\u0131<\/td>\nMerkezi olmayan<\/td>\nEkiplere da\u011f\u0131t\u0131ld\u0131<\/td>\nY\u00fcksek d\u00fczeyde \u00f6l\u00e7eklenebilir<\/td>\n<\/tr>\n
      Veri G\u00f6l\u00fc<\/td>\nMerkezile\u015ftirilmi\u015f<\/td>\nTek tak\u0131m sahipli\u011fi<\/td>\n\u00d6l\u00e7eklenebilirlik zorlay\u0131c\u0131 olabilir<\/td>\n<\/tr>\n
      Veri deposu<\/td>\nMerkezile\u015ftirilmi\u015f<\/td>\nTek tak\u0131m sahipli\u011fi<\/td>\n\u00d6l\u00e7eklenebilirlik zorlay\u0131c\u0131 olabilir<\/td>\n<\/tr>\n
      Veri Merkezi<\/td>\nMerkezile\u015ftirilmi\u015f<\/td>\nTek tak\u0131m sahipli\u011fi<\/td>\nOrta d\u00fczeyde \u00f6l\u00e7eklenebilirlik<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Veri A\u011f\u0131n\u0131n Gelecekteki Beklentileri<\/h2>\n

      Veri a\u011f\u0131n\u0131n gelece\u011fi, daha fazla kurulu\u015fun geleneksel veri mimarisinin s\u0131n\u0131rlamalar\u0131n\u0131 fark etmesiyle umut verici g\u00f6r\u00fcn\u00fcyor. B\u00fcy\u00fck verinin ve karma\u015f\u0131k veri ekosistemlerinin y\u00fckseli\u015fiyle birlikte veri a\u011f\u0131n\u0131n merkezi olmayan yakla\u015f\u0131m\u0131, geli\u015fen i\u015f ortamlar\u0131yla uyumlu bir \u00e7\u00f6z\u00fcm sunuyor.<\/p>\n

      \u00dcstelik teknolojideki ilerlemelerle birlikte veri a\u011f\u0131 mimarisini destekleyen ara\u00e7lar daha yayg\u0131n hale geliyor ve benimsenmesi daha da art\u0131yor. Bu ara\u00e7lar, \u00e7e\u015fitli ekipler aras\u0131nda veri \u00fcr\u00fcnleri olu\u015fturma ve y\u00f6netme s\u00fcrecini kolayla\u015ft\u0131rmaya yard\u0131mc\u0131 olur.<\/p>\n

      Proxy Sunucular\u0131 ve Veri A\u011f\u0131<\/h2>\n

      Veri a\u011f\u0131 ba\u011flam\u0131nda, proxy sunucular, farkl\u0131 veri \u00fcr\u00fcnleri veya etki alanlar\u0131 aras\u0131nda veri eri\u015fimini ve ileti\u015fimi kolayla\u015ft\u0131rmada \u00f6nemli bir rol oynayabilir. Bir veri a\u011f\u0131, \u00e7e\u015fitli ekipler aras\u0131nda da\u011f\u0131t\u0131lm\u0131\u015f veri \u00fcr\u00fcnlerini i\u00e7erdi\u011finden, bir proxy sunucusu, g\u00fcvenli ve verimli veri al\u0131\u015fveri\u015fini sa\u011flayarak arac\u0131 olarak g\u00f6rev yapabilir.<\/p>\n

      \u00d6rne\u011fin, bir ekip ba\u015fka bir alandan verilere eri\u015fmek isterse, bunu veri \u00fcr\u00fcn\u00fcyle do\u011frudan etkile\u015fime girmeden bir proxy sunucusu arac\u0131l\u0131\u011f\u0131yla yapabilir. Proxy sunucusu veri eri\u015fimini kontrol edip g\u00fcnl\u00fc\u011fe kaydedebildi\u011fi i\u00e7in bu, veri g\u00fcvenli\u011fini ve y\u00f6netimini geli\u015ftirebilir.<\/p>\n

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

      Veri a\u011f\u0131n\u0131n daha iyi anla\u015f\u0131lmas\u0131 i\u00e7in a\u015fa\u011f\u0131daki kaynaklar \u00f6nerilir:<\/p>\n

        \n
      1. Veri A\u011f\u0131: Yeni Bir Veri Paradigmas\u0131na Do\u011fru<\/a><\/li>\n
      2. Veri Meshine Giri\u015f<\/a><\/li>\n
      3. Veri A\u011f\u0131 A\u00e7\u0131klamas\u0131<\/a><\/li>\n
      4. Veri A\u011f\u0131 \u00d6\u011frenimi<\/a><\/li>\n<\/ol>\n

        Bu, veri a\u011f\u0131 kavram\u0131na ili\u015fkin kapsaml\u0131 genel bak\u0131\u015f\u0131m\u0131z\u0131 tamaml\u0131yor. Veri ortam\u0131 geli\u015fmeye ve b\u00fcy\u00fcmeye devam ettik\u00e7e veri a\u011f\u0131 gibi \u00f6l\u00e7eklenebilir, esnek ve verimli veri mimarisinin \u00f6nemi giderek art\u0131yor. Bu nedenle, herhangi bir modern i\u015fletme i\u00e7in anla\u015f\u0131lmaya ve dikkate al\u0131nmaya de\u011fer bir konudur.<\/p>","protected":false},"featured_media":468121,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476672","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Data Mesh: A Comprehensive Insight<\/mark>","faq_items":[{"question":"What is a Data Mesh?","answer":"

        A data mesh is a new approach to data architecture that decentralizes data management across various teams within an organization. Instead of using a centralized data lake or warehouse, the data mesh approach treats each data domain as an independent \"data product\" managed by a specific team.<\/p>"},{"question":"Who first mentioned the concept of Data Mesh?","answer":"

        The concept of Data Mesh was first mentioned by Zhamak Dehghani, a consultant at ThoughtWorks, in 2019. It was developed in response to the growing complexities and challenges associated with scaling traditional data architecture.<\/p>"},{"question":"How does a Data Mesh work?","answer":"

        A data mesh works by breaking down monolithic, centralized data architectures into smaller, more manageable, domain-oriented decentralized nodes or \"data products.\" Each of these data products is autonomously owned and maintained by separate teams within an organization. These teams are responsible for the lifecycle of their data, from collection and storage to its use.<\/p>"},{"question":"What are the key features of a Data Mesh?","answer":"

        The key features of a data mesh include decentralization, where data is managed by several autonomous teams rather than in a centralized location; domain-orientation, where each data product is specific to a particular business domain; a product-focused approach, where data is treated as a product with teams taking full ownership; and self-serve infrastructure, which reduces dependencies by allowing teams to manage their data autonomously.<\/p>"},{"question":"Are there different types of Data Mesh?","answer":"

        Data mesh implementation can vary based on an organization's size, structure, and needs. The \"types\" are primarily defined by the data domains within the organization. These can be operational domains (related to daily business operations), analytical domains (areas where data is primarily used for analysis and decision-making), and experience domains (related to customer experience).<\/p>"},{"question":"What are the challenges and solutions associated with Data Mesh?","answer":"

        The main challenges associated with implementing a data mesh include the need for a cultural shift within an organization, the requirement for adequate training and development, and the necessity of robust technology and tools. Resolving these challenges involves fostering a culture of data ownership and ensuring teams have the resources they need to manage their data autonomously.<\/p>"},{"question":"How does a Data Mesh compare to similar concepts like Data Lakes and Data Warehouses?","answer":"

        While data mesh, data lakes, and data warehouses all deal with managing and storing large volumes of data, their approaches are different. Data mesh is decentralized and highly scalable, with distributed data ownership. On the other hand, data lakes and data warehouses are centralized with single team ownership, and they can face challenges with scalability.<\/p>"},{"question":"How do Proxy Servers relate to Data Mesh?","answer":"

        Proxy servers can play a significant role in a data mesh framework. They can facilitate data access and communication between different data products or domains. A proxy server serves as a mediator, ensuring secure and efficient data exchange, thereby enhancing data security and governance within a data mesh.<\/p>"},{"question":"What are the future prospects of Data Mesh?","answer":"

        The future of data mesh looks promising with more organizations recognizing the limitations of traditional data architecture. With advancements in technology, tools that support data mesh architecture are becoming more prevalent, driving its adoption. These tools help streamline the creation and management of data products across various teams.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476672","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\/476672\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/468121"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476672"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}