{"id":476599,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:03","modified_gmt":"2023-09-05T11:13:03","slug":"data-asset","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-asset\/","title":{"rendered":"Veri varl\u0131\u011f\u0131"},"content":{"rendered":"<p>Veri varl\u0131klar\u0131, bir kurulu\u015f i\u00e7in de\u011ferli olan bir bilgi par\u00e7as\u0131n\u0131 ifade eder. Yap\u0131land\u0131r\u0131lm\u0131\u015f veya yap\u0131land\u0131r\u0131lmam\u0131\u015f olabilirler ve elektronik tablolar, veritabanlar\u0131, belgeler, ses dosyalar\u0131 ve daha fazlas\u0131 gibi \u00e7e\u015fitli formatlarda olabilirler. Kullan\u0131lma, payla\u015f\u0131lma veya sat\u0131lma potansiyelleri nedeniyle de\u011fer ta\u015f\u0131rlar. Temelde, bir veri varl\u0131\u011f\u0131n\u0131n kullan\u0131m yoluyla ger\u00e7ekle\u015ftirilebilecek bir de\u011feri vard\u0131r.<\/p>\n<h2>Veri Varl\u0131\u011f\u0131n\u0131n K\u00f6keni ve \u0130lk S\u00f6z\u00fc<\/h2>\n<p>\u201cBir varl\u0131k olarak veri\u201d kavram\u0131 onlarca y\u0131ld\u0131r varl\u0131\u011f\u0131n\u0131 s\u00fcrd\u00fcr\u00fcyor ancak dijital \u00e7a\u011f\u0131n geli\u015fiyle birlikte \u00f6nemi artt\u0131. 1960&#039;l\u0131 ve 70&#039;li y\u0131llarda konsept a\u011f\u0131rl\u0131kl\u0131 olarak geleneksel veritabanlar\u0131nda depolanan yap\u0131land\u0131r\u0131lm\u0131\u015f verilere odaklan\u0131yordu. 1980&#039;li ve 90&#039;l\u0131 y\u0131llarda internetin ortaya \u00e7\u0131k\u0131\u015f\u0131yla birlikte verilerin bir varl\u0131k olarak kullan\u0131lma potansiyeli katlanarak artt\u0131. Bu s\u0131ralarda i\u015fletmeler verilerinin ticari de\u011ferinin fark\u0131na varmaya ba\u015flad\u0131. \u201cVeri varl\u0131\u011f\u0131\u201d teriminin ilk s\u00f6zleri 1990&#039;lar\u0131n sonu ve 2000&#039;lerin ba\u015f\u0131nda i\u015f zekas\u0131 ve veri ambar\u0131 ba\u011flam\u0131nda ortaya \u00e7\u0131kmaya ba\u015flad\u0131.<\/p>\n<h2>Veri Varl\u0131klar\u0131n\u0131 Daha Derinlemesine \u0130ncelemek<\/h2>\n<p>Veri varl\u0131\u011f\u0131, bir varl\u0131\u011f\u0131n y\u00fcksek i\u015f de\u011feri olan veri koleksiyonudur. \u0130\u015flenerek daha kullan\u0131\u015fl\u0131 ve de\u011ferli hale d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015f ham verilerden olu\u015fur. Bu, m\u00fc\u015fteriler, \u00fcr\u00fcnler, \u00e7al\u0131\u015fanlar hakk\u0131ndaki bilgileri veya i\u00e7g\u00f6r\u00fc olu\u015fturmak, kararlar almak veya \u00fcr\u00fcn veya hizmet olu\u015fturmak i\u00e7in kullan\u0131labilecek di\u011fer veri t\u00fcrlerini i\u00e7erebilir.<\/p>\n<p>Bu varl\u0131klar genellikle veritabanlar\u0131nda, veri ambarlar\u0131nda veya veri g\u00f6llerinde depolan\u0131r ve veri y\u00f6netimi sistemleri ve i\u015f zekas\u0131 platformlar\u0131 gibi ara\u00e7larla y\u00f6netilir. Bir veri varl\u0131\u011f\u0131n\u0131n de\u011feri, gelir yaratma potansiyeli, karar vermedeki kullan\u0131\u015fl\u0131l\u0131\u011f\u0131 veya rekabet avantaj\u0131 yaratmadaki rol\u00fc gibi \u00e7e\u015fitli yollarla \u00f6l\u00e7\u00fclebilir.<\/p>\n<h2>Veri Varl\u0131klar\u0131n\u0131n Yap\u0131s\u0131 ve \u0130\u015fleyi\u015fi<\/h2>\n<p>Veri varl\u0131klar\u0131 genellikle yap\u0131land\u0131r\u0131lm\u0131\u015f bir formata sahiptir. Veritabanlar\u0131nda veya veri ambarlar\u0131nda depolan\u0131rlar ve genellikle tablolar, sat\u0131rlar ve s\u00fctunlar halinde d\u00fczenlenirler. Her veri varl\u0131\u011f\u0131n\u0131n, verilerin nas\u0131l organize edildi\u011fini ve eri\u015fildi\u011fini a\u00e7\u0131klayan bir plan olan kendine \u00f6zg\u00fc bir \u015femas\u0131 vard\u0131r.<\/p>\n<p>Ancak b\u00fcy\u00fck veri ve makine \u00f6\u011freniminin y\u00fckseli\u015fiyle birlikte yap\u0131land\u0131r\u0131lmam\u0131\u015f veri varl\u0131klar\u0131 (metin dosyalar\u0131, resimler, videolar vb.) giderek daha \u00f6nemli hale geliyor. Bunlar genellikle veri g\u00f6llerinde depolan\u0131r ve Hadoop veya Spark gibi geli\u015fmi\u015f ara\u00e7lar kullan\u0131larak i\u015flenir.<\/p>\n<p>Veri varl\u0131klar\u0131na sorgular arac\u0131l\u0131\u011f\u0131yla eri\u015filir ve i\u015flenir. Bunlar veritaban\u0131ndan gelen \u00f6zel bilgi talepleridir. \u00d6rne\u011fin bir i\u015fletme, belirli bir b\u00f6lgede ka\u00e7 m\u00fc\u015fteriye sahip oldu\u011funu \u00f6\u011frenmek i\u00e7in m\u00fc\u015fteri veri varl\u0131\u011f\u0131n\u0131 sorgulayabilir.<\/p>\n<h2>Veri Varl\u0131klar\u0131n\u0131n Temel \u00d6zellikleri<\/h2>\n<ul>\n<li><strong>De\u011ferli<\/strong>: Veri varl\u0131klar\u0131, i\u00e7g\u00f6r\u00fc elde etmek, kararlar almak veya hizmetleri iyile\u015ftirmek i\u00e7in kullan\u0131labildi\u011finden kurulu\u015f i\u00e7in ger\u00e7ek de\u011fer ta\u015f\u0131r.<\/li>\n<li><strong>Payla\u015f\u0131labilir<\/strong>: Kurulu\u015f genelinde payla\u015f\u0131labilirler, b\u00f6ylece genel i\u015f operasyonlar\u0131 geli\u015ftirilebilir.<\/li>\n<li><strong>Dayan\u0131kl\u0131<\/strong>: Fiziksel varl\u0131klardan farkl\u0131 olarak veri varl\u0131klar\u0131 zamanla bozulmaz. Asl\u0131nda ek veriler toplan\u0131p analiz edildik\u00e7e daha de\u011ferli hale gelebilirler.<\/li>\n<li><strong>E\u015fsiz<\/strong>: Her veri varl\u0131\u011f\u0131, ona sahip olan kurulu\u015fa \u00f6zeldir ve de\u011feri rakipler taraf\u0131ndan tam olarak taklit edilemez.<\/li>\n<\/ul>\n<h2>Veri Varl\u0131klar\u0131n\u0131n T\u00fcrleri<\/h2>\n<p>Farkl\u0131 veri varl\u0131k t\u00fcrlerini g\u00f6steren bir tablo a\u015fa\u011f\u0131da verilmi\u015ftir:<\/p>\n<table>\n<thead>\n<tr>\n<th>Tip<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>M\u00fc\u015fteri bilgisi<\/td>\n<td>Tercihleri, sat\u0131n alma davran\u0131\u015flar\u0131 vb. dahil olmak \u00fczere m\u00fc\u015fteriler hakk\u0131ndaki bilgiler.<\/td>\n<\/tr>\n<tr>\n<td>\u00dcr\u00fcn bilgileri<\/td>\n<td>Bir kurulu\u015f taraf\u0131ndan sunulan \u00fcr\u00fcn veya hizmetlerle ilgili ayr\u0131nt\u0131lar.<\/td>\n<\/tr>\n<tr>\n<td>\u00c7al\u0131\u015fan Verileri<\/td>\n<td>\u00c7al\u0131\u015fanlar hakk\u0131nda, becerileri, performanslar\u0131 vb. bilgiler.<\/td>\n<\/tr>\n<tr>\n<td>Operasyonel veriler<\/td>\n<td>\u00dcretim seviyeleri, sat\u0131\u015f rakamlar\u0131 vb. gibi bir kurulu\u015fun operasyonel y\u00f6nleriyle ilgili veriler.<\/td>\n<\/tr>\n<tr>\n<td>Finansal Veri<\/td>\n<td>Finansal i\u015flemler, b\u00fct\u00e7eler, tahminler vb. ile ilgili bilgiler.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Veri Varl\u0131klar\u0131n\u0131 Kullanma ve \u0130lgili Sorunlar<\/h2>\n<p>Veri varl\u0131klar\u0131, m\u00fc\u015fteri deneyimlerini geli\u015ftirmekten stratejik i\u015f kararlar\u0131 almaya kadar \u00e7e\u015fitli \u015fekillerde kullan\u0131labilir. Ancak bunlar\u0131n kullan\u0131m\u0131 baz\u0131 zorluklarla birlikte gelir. Bunlar, veri gizlili\u011fi endi\u015felerini, veri kalitesi sorunlar\u0131n\u0131 ve veri entegrasyonundaki zorluklar\u0131 i\u00e7erir.<\/p>\n<p>Bu zorluklar\u0131n \u00e7\u00f6z\u00fcm\u00fc, sa\u011flam veri y\u00f6netimi \u00e7er\u00e7evelerinin uygulanmas\u0131n\u0131, veri kalitesi ara\u00e7lar\u0131n\u0131n kullan\u0131lmas\u0131n\u0131 ve veri entegrasyon teknolojilerinin kullan\u0131lmas\u0131n\u0131 i\u00e7erir.<\/p>\n<h2>Benzer Kavramlarla Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n<p>Bir veri varl\u0131\u011f\u0131 ile di\u011fer ilgili kavramlar aras\u0131ndaki baz\u0131 kar\u015f\u0131la\u015ft\u0131rmalar a\u015fa\u011f\u0131da verilmi\u015ftir:<\/p>\n<table>\n<thead>\n<tr>\n<th>Konsept<\/th>\n<th>Veri Varl\u0131\u011f\u0131yla Kar\u015f\u0131la\u015ft\u0131rma<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Bilgi Varl\u0131\u011f\u0131<\/td>\n<td>T\u00fcm veri varl\u0131klar\u0131 bilgi varl\u0131klar\u0131 olsa da t\u00fcm bilgi varl\u0131klar\u0131 veri varl\u0131klar\u0131 de\u011fildir. Bilgi varl\u0131klar\u0131 ayr\u0131ca belgeler, s\u00f6zle\u015fmeler ve fikri m\u00fclkiyet gibi \u015feyleri de i\u00e7erir.<\/td>\n<\/tr>\n<tr>\n<td>Dijital Varl\u0131k<\/td>\n<td>Dijital varl\u0131klar veri varl\u0131klar\u0131n\u0131 i\u00e7erir ancak ayn\u0131 zamanda yaz\u0131l\u0131m, dijital medya ve daha fazlas\u0131 gibi di\u011fer dijital dosyalar\u0131 da kapsar.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Veri Varl\u0131klar\u0131na \u0130li\u015fkin Gelecek Perspektifleri ve Teknolojiler<\/h2>\n<p>Veri varl\u0131klar\u0131n\u0131n gelece\u011fi yapay zeka, makine \u00f6\u011frenimi ve blockchain gibi teknolojilerde yat\u0131yor. Yapay zeka ve makine \u00f6\u011frenimi, kurulu\u015flar\u0131n veri varl\u0131klar\u0131ndan derinlemesine i\u00e7g\u00f6r\u00fcler elde etmelerine yard\u0131mc\u0131 olurken, blockchain de veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fcn ve g\u00fcvenli\u011finin sa\u011flanmas\u0131na yard\u0131mc\u0131 olabilir. Gelecekte, end\u00fcstrilerin dijital d\u00f6n\u00fc\u015f\u00fcm\u00fc devam ettik\u00e7e veri varl\u0131klar\u0131n\u0131n daha da kritik hale gelmesi bekleniyor.<\/p>\n<h2>Veri Varl\u0131klar\u0131 ve Proxy Sunucular\u0131<\/h2>\n<p>Proxy sunucular, \u00f6zellikle g\u00fcvenlik ve gizlilik a\u00e7\u0131s\u0131ndan veri varl\u0131klar\u0131n\u0131n y\u00f6netilmesinde \u00f6nemli bir rol oynayabilir. Siber tehditlere kar\u015f\u0131 ekstra bir g\u00fcvenlik katman\u0131 sa\u011flayarak veri varl\u0131klar\u0131n\u0131n korunmas\u0131na yard\u0131mc\u0131 olabilirler. Proxy sunucular\u0131 ayr\u0131ca, hassas veri varl\u0131klar\u0131yla u\u011fra\u015fan i\u015fletmeler i\u00e7in \u00f6nemli olabilecek anonim web taramas\u0131 da sa\u011flayabilir.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<p>Veri varl\u0131klar\u0131 hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 kontrol edin:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.dataversity.net\/\" target=\"_new\" rel=\"noopener nofollow\">Veri Varl\u0131k Y\u00f6netimi: Kapsaml\u0131 Bir Genel Bak\u0131\u015f<\/a><\/li>\n<li><a href=\"https:\/\/www.opendataenterprise.org\/\" target=\"_new\" rel=\"noopener nofollow\">Verinin De\u011feri: ABD Ekonomisinde \u0130\u00e7g\u00f6r\u00fc, Yenilik ve Verimlilik A\u00e7\u0131s\u0131ndan Sonu\u00e7lar<\/a><\/li>\n<li><a href=\"https:\/\/www.gartner.com\/\" target=\"_new\" rel=\"noopener nofollow\">Modern \u0130\u015fletmelerde Verinin Rol\u00fc<\/a><\/li>\n<\/ul>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476599","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Understanding the Concept of Data Asset<\/mark>","faq_items":[{"question":"What is a Data Asset?","answer":"<p>A data asset refers to a piece of information that holds value to an organization. It can be structured or unstructured and in various formats such as spreadsheets, databases, documents, and more. The value of a data asset comes from its potential to be used, shared, or sold.<\/p>"},{"question":"What was the first mention of a Data Asset?","answer":"<p>The term \"data asset\" began to appear in the late 1990s and early 2000s in the context of business intelligence and data warehousing.<\/p>"},{"question":"How do Data Assets function?","answer":"<p>Data assets are usually stored in databases, data warehouses, or data lakes and are accessed and manipulated through queries, which are specific requests for information from the database.<\/p>"},{"question":"What are the key features of Data Assets?","answer":"<p>Key features of data assets include their value to the organization, their shareability, their durability (they don't degrade over time), and their uniqueness to the organization that owns them.<\/p>"},{"question":"What types of Data Assets exist?","answer":"<p>Types of data assets include customer data, product data, employee data, operational data, and financial data.<\/p>"},{"question":"What are some challenges in using Data Assets?","answer":"<p>Some challenges in using data assets include data privacy concerns, data quality issues, and difficulties in data integration. Solutions involve implementing robust data governance frameworks, employing data quality tools, and using data integration technologies.<\/p>"},{"question":"How are Data Assets related to Proxy Servers?","answer":"<p>Proxy servers can help in managing data assets, particularly in terms of security and privacy. They provide an extra layer of security against cyber threats and can offer anonymous web browsing, which can be important for businesses dealing with sensitive data assets.<\/p>"},{"question":"What is the future of Data Assets?","answer":"<p>The future of data assets lies in technologies like artificial intelligence, machine learning, and blockchain. These technologies can help organizations derive deeper insights from their data assets, while also ensuring data integrity and security.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476599","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\/476599\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476599"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}