{"id":476012,"date":"2023-08-09T07:25:33","date_gmt":"2023-08-09T07:25:33","guid":{"rendered":""},"modified":"2023-09-05T11:11:50","modified_gmt":"2023-09-05T11:11:50","slug":"big-data-analytics","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/big-data-analytics\/","title":{"rendered":"B\u00fcy\u00fck veri analiti\u011fi"},"content":{"rendered":"<p>B\u00fcy\u00fck veri analiti\u011fi, terabaytlardan zettabaytlara kadar farkl\u0131 boyutlarda ve farkl\u0131 kaynaklardan gelen, yap\u0131land\u0131r\u0131lm\u0131\u015f, yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f veriler gibi farkl\u0131 \u00e7e\u015fitlerden olu\u015fan \u00e7ok b\u00fcy\u00fck ve \u00e7e\u015fitli veri setleri \u00fczerinde ileri analitik tekniklerin kullan\u0131lmas\u0131n\u0131 i\u00e7eren bir s\u00fcre\u00e7tir.<\/p>\n<h2>B\u00fcy\u00fck Veri Analiti\u011finin Do\u011fu\u015fu ve Evrimi<\/h2>\n<p>\u201cB\u00fcy\u00fck Veri\u201d terimi ilk kez 1990&#039;lar\u0131n ba\u015f\u0131nda tan\u0131t\u0131ld\u0131. Ancak terimin yayg\u0131n olarak kullan\u0131lmaya ve anla\u015f\u0131lmaya ba\u015flamas\u0131 2000&#039;li y\u0131llar\u0131n ba\u015flar\u0131na kadar m\u00fcmk\u00fcn olmad\u0131. \u0130nternet geni\u015fledik\u00e7e ve kurulu\u015flar ka\u011f\u0131t yerine dijital olarak daha fazla veri depolamaya ba\u015flad\u0131k\u00e7a, bu verileri e\u011filimler, tahminler ve i\u00e7g\u00f6r\u00fcler i\u00e7in analiz etme kavram\u0131 ortaya \u00e7\u0131kt\u0131.<\/p>\n<p>B\u00fcy\u00fck veri analiti\u011fi kavram\u0131, 2000&#039;li y\u0131llar\u0131n ortalar\u0131nda kullan\u0131c\u0131 taraf\u0131ndan olu\u015fturulan i\u00e7eri\u011fin verilerde katlanarak artan bir b\u00fcy\u00fcmeye yol a\u00e7t\u0131\u011f\u0131 &quot;Web 2.0&quot;\u0131n ortaya \u00e7\u0131k\u0131\u015f\u0131yla ger\u00e7ekten odak noktas\u0131na geldi. Basit \u00e7evrimi\u00e7i varl\u0131ktan etkile\u015fimli platformlara ge\u00e7i\u015f, b\u00fcy\u00fck miktarda verinin \u00fcretilmesini tetikledi ve bu veri havuzundan de\u011ferli i\u00e7g\u00f6r\u00fclerin elde edilmesi ve i\u015flenmesi i\u00e7in yeni y\u00f6ntemler gerektirdi.<\/p>\n<h2>B\u00fcy\u00fck Veri Analiti\u011fini Derinlemesine \u0130ncelemek<\/h2>\n<p>B\u00fcy\u00fck veri analiti\u011fi, kurulu\u015flar\u0131n de\u011ferli i\u015f bilgileri ve i\u00e7g\u00f6r\u00fcleri bulmak i\u00e7in yap\u0131land\u0131r\u0131lm\u0131\u015f, yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f ve yap\u0131land\u0131r\u0131lmam\u0131\u015f verilerin bir kar\u0131\u015f\u0131m\u0131n\u0131 analiz etmesine olanak tan\u0131r. Teknikler aras\u0131nda veri madencili\u011fi, makine \u00f6\u011frenimi, metin madencili\u011fi, tahmine dayal\u0131 analiz ve istatistiksel analiz yer al\u0131r. B\u00fcy\u00fck veri analiti\u011fi, Apache Hadoop, Microsoft HDInsight ve Tableau gibi veri d\u00fczenleme, analiz ve g\u00f6rselle\u015ftirme i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015f yaz\u0131l\u0131m ara\u00e7lar\u0131 kullan\u0131larak ger\u00e7ekle\u015ftirilebilir.<\/p>\n<p>Bu ara\u00e7lar, karma\u015f\u0131k veri k\u00fcmelerini y\u00f6netilebilir par\u00e7alara ay\u0131rmay\u0131 kolayla\u015ft\u0131rarak kurulu\u015flar\u0131n veriye dayal\u0131 kararlar almas\u0131na yard\u0131mc\u0131 olabilecek e\u011filimleri, modelleri ve korelasyonlar\u0131 (pazar e\u011filimleri, m\u00fc\u015fteri tercihleri ve gizli modeller gibi) belirlemeyi kolayla\u015ft\u0131r\u0131r.<\/p>\n<h2>B\u00fcy\u00fck Veri Analiti\u011finin Temel Mekani\u011fi<\/h2>\n<p>B\u00fcy\u00fck veri analiti\u011fi s\u00fcreci birden fazla a\u015famay\u0131 i\u00e7erir:<\/p>\n<ol>\n<li>Veri Toplama: Bu, sosyal medya, web sunucusu g\u00fcnl\u00fckleri, bulut veri kaynaklar\u0131 ve \u015firket i\u00e7i uygulamalar gibi \u00e7e\u015fitli kaynaklardan veri toplanmas\u0131n\u0131 i\u00e7erir.<\/li>\n<li>Veri \u0130\u015fleme: Bu a\u015famada toplanan veriler daha ileri analiz i\u00e7in temizlenir, d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr ve kategorize edilir.<\/li>\n<li>Veri Depolama: \u0130\u015flenen veriler DWH (Veri Ambar\u0131) veya Hadoop benzeri ekosistemlerde depolan\u0131r.<\/li>\n<li>Veri Analizi: \u0130\u015flenen veriler, faydal\u0131 bilgiler elde etmek i\u00e7in farkl\u0131 analitik modeller ve algoritmalar kullan\u0131larak analiz edilir.<\/li>\n<li>Veri G\u00f6rselle\u015ftirme: Analizin sonu\u00e7lar\u0131, farkl\u0131 grafik ara\u00e7lar\u0131 kullan\u0131larak g\u00f6rselle\u015ftirilir ve karma\u015f\u0131k verilerin g\u00f6rsel olarak yorumlanmas\u0131 sa\u011flan\u0131r.<\/li>\n<\/ol>\n<h2>B\u00fcy\u00fck Veri Analiti\u011finin Ay\u0131rt Edici \u00d6zellikleri<\/h2>\n<p>B\u00fcy\u00fck veri analiti\u011fi \u00e7e\u015fitli ay\u0131rt edici \u00f6zelliklerle birlikte gelir:<\/p>\n<ul>\n<li>Hacim: Her saniye \u00fcretilen b\u00fcy\u00fck miktardaki veriyi ifade eder.<\/li>\n<li>H\u0131z: Yeni verinin \u00fcretilme h\u0131z\u0131n\u0131 ve verinin hareket etme h\u0131z\u0131n\u0131 ifade eder.<\/li>\n<li>\u00c7e\u015fitlilik: Art\u0131k kullanabilece\u011fimiz farkl\u0131 veri t\u00fcrlerini ifade eder.<\/li>\n<li>Veracity: Verilerin da\u011f\u0131n\u0131kl\u0131\u011f\u0131 veya g\u00fcvenilirli\u011fi.<\/li>\n<li>De\u011fer: Veriyi de\u011fere d\u00f6n\u00fc\u015ft\u00fcrme yetene\u011fi.<\/li>\n<\/ul>\n<h2>B\u00fcy\u00fck Veri Analiti\u011fi T\u00fcrleri<\/h2>\n<p>D\u00f6rt temel b\u00fcy\u00fck veri analiti\u011fi t\u00fcr\u00fc vard\u0131r:<\/p>\n<ol>\n<li>Tan\u0131mlay\u0131c\u0131 Analiz: Bu t\u00fcr, \u015firketin zaman i\u00e7inde nas\u0131l performans g\u00f6sterdi\u011fini anlamak i\u00e7in ge\u00e7mi\u015f performansa bakar.<\/li>\n<li>Te\u015fhis Analizi: Bu t\u00fcr, belirli \u015feylerin neden ger\u00e7ekle\u015fti\u011fine ili\u015fkin sorular\u0131 yan\u0131tlamak i\u00e7in verileri veya i\u00e7eri\u011fi inceler.<\/li>\n<li>Tahmine Dayal\u0131 Analitik: Bu t\u00fcr, trend verilerini analiz ederek gelecekteki sonu\u00e7lar\u0131n olas\u0131l\u0131\u011f\u0131n\u0131 de\u011ferlendirir.<\/li>\n<li>Kuralc\u0131 Analitik: Bu t\u00fcr, gelecekte benzer durumlar\u0131n nas\u0131l ele al\u0131naca\u011f\u0131na ili\u015fkin \u00f6neriler olu\u015fturmak i\u00e7in ge\u00e7mi\u015f performans\u0131 kullan\u0131r.<\/li>\n<\/ol>\n<h2>B\u00fcy\u00fck Veri Analiti\u011finde Kullan\u0131m, Sorunlar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<p>B\u00fcy\u00fck veri analiti\u011fi, perakendeden sa\u011fl\u0131k hizmetlerine, \u00fcretimden finansal hizmetlere kadar \u00e7e\u015fitli sekt\u00f6rlerde a\u015fa\u011f\u0131daki gibi \u00e7e\u015fitli ama\u00e7larla kullan\u0131l\u0131r:<\/p>\n<ul>\n<li>Tahmine dayal\u0131 ve kuralc\u0131 analitik<\/li>\n<li>Risk y\u00f6netimi ve doland\u0131r\u0131c\u0131l\u0131k tespiti<\/li>\n<li>M\u00fc\u015fteri Deneyimi Y\u00f6netimi<\/li>\n<li>Operasyonel analitik<\/li>\n<\/ul>\n<p>Bununla birlikte, b\u00fcy\u00fck veri analiti\u011fi, veri gizlili\u011fi ve g\u00fcvenli\u011fiyle ilgili kayg\u0131lar, veri kalitesi ve do\u011frulu\u011fu sorunlar\u0131 ve \u00f6l\u00e7eklenebilir depolama ve i\u015fleme g\u00fcc\u00fc ihtiyac\u0131 da dahil olmak \u00fczere zorluklardan muaf de\u011fildir. Bu zorluklar\u0131n \u00fcstesinden gelmek i\u00e7in kurulu\u015flar sa\u011flam g\u00fcvenlik protokolleri uygular, veri temizleme ara\u00e7lar\u0131na yat\u0131r\u0131m yapar ve depolama ve bilgi i\u015flem i\u00e7in bulut tabanl\u0131 \u00e7\u00f6z\u00fcmler kullan\u0131r.<\/p>\n<h2>B\u00fcy\u00fck Veri Analiti\u011finin Benzer Kavramlarla Kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131<\/h2>\n<p>B\u00fcy\u00fck veri analiti\u011fini geleneksel veri analiti\u011fiyle kar\u015f\u0131la\u015ft\u0131rd\u0131\u011f\u0131m\u0131zda veri hacmi, i\u015flem h\u0131z\u0131 ve toplanabilecek i\u00e7g\u00f6r\u00fc t\u00fcr\u00fc a\u00e7\u0131s\u0131ndan fark g\u00f6r\u00fclebilir.<\/p>\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th>Geleneksel Veri Analiti\u011fi<\/th>\n<th>B\u00fcy\u00fck Veri Analiti\u011fi<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Veri Hacmi<\/td>\n<td>Daha k\u00fc\u00e7\u00fck veri k\u00fcmelerini i\u015fler<\/td>\n<td>B\u00fcy\u00fck, karma\u015f\u0131k veri k\u00fcmelerini i\u015fler<\/td>\n<\/tr>\n<tr>\n<td>\u0130\u015fleme h\u0131z\u0131<\/td>\n<td>Daha yava\u015f, toplu i\u015fleme<\/td>\n<td>Ger\u00e7ek zamanl\u0131 veya ger\u00e7ek zamanl\u0131ya yak\u0131n i\u015fleme<\/td>\n<\/tr>\n<tr>\n<td>Analizler<\/td>\n<td>A\u00e7\u0131klay\u0131c\u0131 bilgiler<\/td>\n<td>Tahmine dayal\u0131 ve kuralc\u0131 i\u00e7g\u00f6r\u00fcler<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>B\u00fcy\u00fck Veri Analiti\u011finde Gelecek Perspektifleri ve Teknolojiler<\/h2>\n<p>B\u00fcy\u00fck veri analiti\u011findeki gelecekteki geli\u015fmeler yapay zeka (AI), makine \u00f6\u011frenimi ve ger\u00e7ek zamanl\u0131 analitikle yak\u0131ndan ba\u011flant\u0131l\u0131d\u0131r. Geni\u015f bir yelpazedeki i\u015f kullan\u0131c\u0131lar\u0131, operasyonel \u00e7al\u0131\u015fanlar ve vatanda\u015f veri bilimcileri i\u00e7in veri haz\u0131rlamay\u0131, i\u00e7g\u00f6r\u00fc ke\u015ffini ve i\u00e7g\u00f6r\u00fc payla\u015f\u0131m\u0131n\u0131 otomatikle\u015ftirmek i\u00e7in makine \u00f6\u011frenimini kullanan art\u0131r\u0131lm\u0131\u015f analitik gibi kavramlar gelece\u011fi temsil ediyor.<\/p>\n<p>Kuantum bili\u015fimin evrimi ayn\u0131 zamanda karma\u015f\u0131k veri k\u00fcmelerinin neredeyse ger\u00e7ek zamanl\u0131 olarak i\u015flenmesini sa\u011flayarak b\u00fcy\u00fck veri analiti\u011finin yeteneklerini yeniden tan\u0131mlayacak.<\/p>\n<h2>Proxy Sunucular ve B\u00fcy\u00fck Veri Analiti\u011fi<\/h2>\n<p>Proxy sunucular b\u00fcy\u00fck veri analiti\u011finde hayati bir rol oynayabilir. Veri kaynaklar\u0131na anonim eri\u015fim sa\u011flayarak, kullan\u0131c\u0131lar\u0131n gizlili\u011fini koruyarak ve co\u011frafi engelleme k\u0131s\u0131tlamalar\u0131n\u0131 a\u015farak farkl\u0131 co\u011frafi konumlardan veri toplamaya y\u00f6nelik bir ara\u00e7 sa\u011flayarak web kaz\u0131ma konusunda yard\u0131mc\u0131 olabilirler.<\/p>\n<p>Proxy&#039;ler arac\u0131l\u0131\u011f\u0131yla toplanan veriler daha sonra anlaml\u0131 i\u00e7g\u00f6r\u00fcler elde etmek i\u00e7in b\u00fcy\u00fck veri analiti\u011fi ara\u00e7lar\u0131na beslenebilir. \u00d6rne\u011fin bir perakendeci, rakip web sitelerinden k\u00fcresel fiyatland\u0131rma verilerini toplamak i\u00e7in proxy&#039;leri kullanabilir ve ard\u0131ndan farkl\u0131 pazarlar i\u00e7in en uygun fiyatland\u0131rma stratejilerini belirlemek amac\u0131yla b\u00fcy\u00fck veri analiti\u011fini kullanabilir.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<p>B\u00fcy\u00fck Veri Analiti\u011fi hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131dakilere ba\u015fvurabilirsiniz:<\/p>\n<ol>\n<li><a href=\"https:\/\/www.ibm.com\/analytics\/hadoop\/big-data-analytics\" target=\"_new\" rel=\"noopener nofollow\">IBM: B\u00fcy\u00fck veri analiti\u011fi nedir?<\/a><\/li>\n<li><a href=\"https:\/\/www.oracle.com\/big-data\/what-is-big-data\/\" target=\"_new\" rel=\"noopener nofollow\">Oracle: B\u00fcy\u00fck Veri Nedir?<\/a><\/li>\n<li><a href=\"https:\/\/www.sas.com\/en_us\/insights\/analytics\/big-data-analytics.html\" target=\"_new\" rel=\"noopener nofollow\">SAS: B\u00fcy\u00fck Veri Analiti\u011fi<\/a><\/li>\n<li><a href=\"https:\/\/www.informatica.com\/services-and-training\/glossary-of-terms\/big-data-analytics-definition.html\" target=\"_new\" rel=\"noopener nofollow\">Informatica: B\u00fcy\u00fck Veri Analiti\u011fi Nedir?<\/a><\/li>\n<li><a href=\"https:\/\/www.talend.com\/resources\/what-is-big-data-analytics\/\" target=\"_new\" rel=\"noopener nofollow\">Talend: B\u00fcy\u00fck Veri Analiti\u011fi Nedir?<\/a><\/li>\n<\/ol>","protected":false},"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476012","wiki","type-wiki","status-publish","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Big Data Analytics: Understanding the Power of Large Data Sets<\/mark>","faq_items":[{"question":"What is Big Data Analytics?","answer":"<p>Big Data Analytics is a process that involves the use of advanced analytic techniques on large, diverse data sets that include different varieties such as structured, semi-structured, and unstructured data, sourced from different origins and in sizes ranging from terabytes to zettabytes.<\/p>"},{"question":"What is the history of Big Data Analytics?","answer":"<p>The term \"Big Data\" was first introduced in the early 1990s. As the internet expanded and organizations began storing more data digitally, the concept of analyzing this data for trends, predictions, and insights took off. The advent of \"Web 2.0\" in the mid-2000s and the resulting user-generated content led to an exponential growth in data, leading to the need for big data analytics.<\/p>"},{"question":"How does Big Data Analytics work?","answer":"<p>Big Data Analytics involves multiple stages: data collection from various sources, processing of gathered data, storage in Data Warehousing or Hadoop-like ecosystems, analysis using different models and algorithms, and visualization using different graphical tools for easy interpretation of complex data.<\/p>"},{"question":"What are the key features of Big Data Analytics?","answer":"<p>Big Data Analytics is characterized by five key features: volume (amount of data), velocity (speed at which data is generated and processed), variety (different types of data), veracity (the reliability of data), and value (the ability to turn data into value).<\/p>"},{"question":"What types of Big Data Analytics exist?","answer":"<p>There are four main types of Big Data Analytics: Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics.<\/p>"},{"question":"How is Big Data Analytics used and what are its challenges?","answer":"<p>Big Data Analytics is used across various industries for predictive and prescriptive analytics, risk management, fraud detection, customer experience management, and operational analytics. However, challenges like data privacy and security, data quality and accuracy, and the need for scalable storage and processing power exist.<\/p>"},{"question":"How does Big Data Analytics compare with traditional data analytics?","answer":"<p>Unlike traditional data analytics, Big Data Analytics can handle large, complex data sets, perform real-time or near real-time processing, and provide predictive and prescriptive insights.<\/p>"},{"question":"What is the future of Big Data Analytics?","answer":"<p>The future of Big Data Analytics is closely linked with advancements in artificial intelligence (AI), machine learning, and real-time analytics. Emerging concepts like augmented analytics and quantum computing are set to redefine its capabilities.<\/p>"},{"question":"How are proxy servers associated with Big Data Analytics?","answer":"<p>Proxy servers can play a vital role in big data analytics by enabling anonymous access to data sources, maintaining user privacy, and allowing data collection from different geographical locations by bypassing geo-blocking restrictions. This data can then be fed into Big Data Analytics tools to extract valuable insights.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476012","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\/476012\/revisions"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}