{"id":5686,"date":"2021-06-08T14:13:23","date_gmt":"2021-06-08T11:13:23","guid":{"rendered":"https:\/\/www.niobehosting.com\/blog\/?p=5686"},"modified":"2021-06-08T14:21:59","modified_gmt":"2021-06-08T11:21:59","slug":"big-data-buyuk-veri-nedir","status":"publish","type":"post","link":"https:\/\/www.niobehosting.com\/blog\/big-data-buyuk-veri-nedir\/","title":{"rendered":"Big Data (B\u00fcy\u00fck Veri) Nedir?"},"content":{"rendered":"\n

Big data yani b\u00fcy\u00fck veri<\/strong>, verinin analiz edilip s\u0131n\u0131fland\u0131r\u0131lm\u0131\u015f, anlaml\u0131 ve i\u015flenebilir hale d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015f halidir. Hem yap\u0131land\u0131r\u0131lm\u0131\u015f hem de yap\u0131land\u0131r\u0131lmam\u0131\u015f veri t\u00fcrlerini i\u00e7eren b\u00fcy\u00fck veri, genellikle i\u015fletmelerin analiz yapmalar\u0131 ve daha iyi i\u015f stratejileri olu\u015fturmalar\u0131na yard\u0131mc\u0131 olabilecek i\u00e7g\u00f6r\u00fcler elde etmelerine olanak tan\u0131r. B\u00fcy\u00fck veri (big data), i\u015fletmeler i\u00e7in g\u00fcn\u00fcm\u00fcz\u00fcn en \u00f6nemli varl\u0131klar\u0131ndan biridir.<\/p>\n\n\n\n

T\u00fcm i\u015f alanlar\u0131 ve g\u00fcnl\u00fck ya\u015fam, b\u00fcy\u00fcyen b\u00fcy\u00fck veri y\u0131\u011f\u0131n\u0131na katk\u0131da bulunur. Perakende, gayrimenkul, seyahat, turizm, finans, sosyal medya, teknoloji vb. \u00f6rneklerden tutun da att\u0131\u011f\u0131m\u0131z ad\u0131mdan finansal ge\u00e7mi\u015fimize kadar hayat\u0131n\u0131z\u0131n her y\u00f6n\u00fc veridir.<\/p>\n\n\n\n

2017’de d\u00fcnya n\u00fcfusunun yakla\u015f\u0131k %47’sinin yani yakla\u015f\u0131k 3,8 milyar insan\u0131n, internet kulland\u0131\u011f\u0131 ve g\u00fcnl\u00fck \u00e7\u0131kt\u0131 verisinin 2,5 kentilyon bayt oldu\u011fu tahmin ediliyor. \u0130nterneti kullananlar\u0131n say\u0131s\u0131n\u0131n katlanarak artmas\u0131yla, veriler de katlanarak b\u00fcy\u00fcyor.<\/p>\n\n\n\n

Peki b\u00fcy\u00fck verideki, veriler nereden geliyor?<\/strong><\/p>\n\n\n\n

Ak\u0131ll\u0131 (Nesnelerin \u0130nterneti) cihazlar\u0131:<\/strong> \u0130nternet ba\u011flant\u0131s\u0131, \u015firketlerin ak\u0131ll\u0131 ev sistemleri, robotik elektrikli s\u00fcp\u00fcrgeler, ak\u0131ll\u0131 TV’ler ve giyilebilir fitness izleyicileri gibi cihazlar arac\u0131l\u0131\u011f\u0131yla veri toplamas\u0131na olanak tan\u0131r.<\/p>\n\n\n\n

Sosyal medya: <\/strong>Be\u011feniler, payla\u015f\u0131mlar, g\u00f6nderiler, yorumlar, bir g\u00f6nderiye bakmak i\u00e7in ne kadar zaman harcad\u0131\u011f\u0131n\u0131z vb. t\u00fcm bu bilgiler, insanlar\u0131n davran\u0131\u015flar\u0131, duygular\u0131 ve tercihleri \u200b\u200bhakk\u0131nda kapsaml\u0131 veriler olarak kabul edilir.<\/p>\n\n\n\n

Web siteleri:<\/strong> \u015eirketler veya di\u011fer web sitesi sahipleri, sayfa ziyaretlerini, ziyaret\u00e7ilerin genel konumlar\u0131n\u0131 izleyebilir, kitlelerin bir sayfada ne kadar zaman ge\u00e7irdi\u011fini, hangi ba\u011flant\u0131lar\u0131n en \u00e7ok t\u0131kland\u0131\u011f\u0131n\u0131 ve imle\u00e7 hareketini g\u00f6rebilir.<\/p>\n\n\n\n

Ticari i\u015flemler:<\/strong> Veriler, \u00e7evrimi\u00e7i olarak ve \u015fahsen \u00fcr\u00fcn sat\u0131n alan m\u00fc\u015fterilerden gelebilir. Fiyat, sat\u0131n alma zaman\u0131, \u00f6deme y\u00f6ntemleri ve di\u011fer ayr\u0131nt\u0131lar, bir i\u015fletmeye, \u00fcr\u00fcnleri i\u00e7in m\u00fc\u015fteri talebi hakk\u0131nda bilgi verebilir.<\/p>\n\n\n\n

Makine:<\/strong> \u0130nternet ba\u011flant\u0131s\u0131 olmasa bile yol kameralar\u0131, sens\u00f6rler ve t\u0131bbi ekipman gibi makineler bilgileri kaydedebilir.<\/p>\n\n\n\n

Sa\u011fl\u0131k:<\/strong> Sa\u011fl\u0131k hizmetleri sistemi verilerle doludur. Veri analistleri, yeni i\u00e7g\u00f6r\u00fcler elde etmek ve hasta bak\u0131m\u0131n\u0131 geli\u015ftirmek i\u00e7in sa\u011fl\u0131k hizmetleri kay\u0131tlar\u0131, sigorta ve hasta \u00f6zetleri hakk\u0131ndaki toplu bilgileri kullanabilir.<\/p>\n\n\n\n

H\u00fck\u00fcmet:<\/strong> H\u00fck\u00fcmetler politik kararlar\u0131 vermek i\u00e7in bir\u00e7ok kaynaktan gelen verileri (otomobil trafik bilgileri, tar\u0131msal verimler, hava durumu izleme sistemleri, say\u0131mlardan gelen demografik bilgiler) kullanabilir.<\/p>\n\n\n\n

B\u00fcy\u00fck Verinin \u00d6zellikleri Nelerdir?<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

B\u00fcy\u00fck Veri 5 V’si evrensel olarak kabul edilmektedir:<\/p>\n\n\n\n

  • Volume (Veri Hacmi)<\/li>
  • Velocity (Veri H\u0131z\u0131)<\/li>
  • Variety (Veri \u00c7e\u015fitlili\u011fi)<\/li>
  • Veracity (Veri Do\u011frulu\u011fu)<\/li>
  • Value (Veri De\u011feri)<\/li><\/ul>\n\n\n\n

    1. Volume (Veri Hacmi)<\/h3>\n\n\n\n

    B\u00fcy\u00fck veriyi bir piramit olarak d\u00fc\u015f\u00fcn\u00fcrsek, volume (veri hacmi) bu piramitin en geni\u015f taban\u0131n\u0131 olu\u015fturur. <\/p>\n\n\n\n

    D\u00fcnyan\u0131n d\u00f6rt bir yan\u0131ndaki \u015firketlerin y\u00f6netti\u011fi veri hacmi, kurulu\u015flar\u0131n her g\u00fcn \u00fc\u00e7 milyondan fazla veri toplamaya ba\u015flamas\u0131yla birlikte 2012 y\u0131l\u0131nda h\u0131zla artmaya ba\u015flam\u0131\u015ft\u0131r. Antonio de Nebrija \u00dcniversitesi’nden bir MBA Profes\u00f6r\u00fc’ne g\u00f6re, o zamandan beri bu hacmin her 40 ayda bir ikiye katlad\u0131\u011f\u0131 tahmin ediliyor.<\/p>\n\n\n\n

    2. Velocity (Veri H\u0131z\u0131)<\/h3>\n\n\n\n

    ‘Velocity (Veri H\u0131z\u0131) terimi, verilerin \u00fcretildi\u011fi h\u0131z\u0131 ifade eder.<\/p>\n\n\n\n

    B\u00fcy\u00fck veri sadece veri hacmi ile ilgili de\u011fildir, ayn\u0131 zamanda verinin ne kadar h\u0131zl\u0131 akt\u0131\u011f\u0131, yani h\u0131z\u0131 da \u00f6nemlidir. Ger\u00e7ek zamana yak\u0131n olan verilerden eyleme ge\u00e7irilebilir ve de\u011ferli i\u00e7g\u00f6r\u00fcler elde etmek, rekabet avantaj\u0131 a\u00e7\u0131s\u0131ndan \u00e7ok \u00f6nemlidir.<\/p>\n\n\n\n

    Bir yemek da\u011f\u0131t\u0131m \u015firketinin, b\u00fcy\u00fck bir spor etkinli\u011finin ba\u015flamas\u0131ndan 45 dakika \u00f6nce sat\u0131\u015f verilerine dayanarak bir Google Ads kampanyas\u0131 haz\u0131rlamas\u0131, buna bir \u00f6rnektir. Ayn\u0131 veriler birka\u00e7 saat i\u00e7inde alaka d\u00fczeyini kaybedecektir.<\/p>\n\n\n\n

    Bu h\u0131zl\u0131 veri ihtiyac\u0131n\u0131 y\u00f6nlendiren teknolojiler aras\u0131nda RFID etiketleri, ak\u0131ll\u0131 \u00f6l\u00e7\u00fcm ve \u00e7e\u015fitli sens\u00f6r t\u00fcrleri bulunur.<\/p>\n\n\n\n

    3. Variety (Veri \u00c7e\u015fitlili\u011fi)<\/h3>\n\n\n\n

    Variety (Veri \u00c7e\u015fitlili\u011fi), bir \u015firketin veri elde edebilece\u011fi kaynak yelpazesini ve bunlar\u0131n i\u00e7indeki anlamland\u0131r\u0131labilir verileri ifade eder. Ak\u0131ll\u0131 telefonlar, \u015firket i\u00e7i cihazlar, sosyal medya sohbetleri, hisse senedi verileri ve finansal i\u015flemlerden elde edilen veriler gibi verileri i\u00e7erir. Fakat kayna\u011f\u0131n, \u00f6zellikle verilerin topland\u0131\u011f\u0131 i\u015fin do\u011fas\u0131yla ilgili olmas\u0131 gerekir. \u00d6rne\u011fin, bir tekstil \u015firketi, yak\u0131n zamanda piyasaya s\u00fcrd\u00fc\u011f\u00fc koleksiyonlar\u0131 hakk\u0131nda, kullan\u0131c\u0131lar\u0131n sosyal medyada s\u00f6ylediklerini dinlemelidir. Bir \u00fcretim \u015firketinin ise, sosyal medyay\u0131 takip etmesi onlara daha az de\u011fer katacakt\u0131r.<\/p>\n\n\n\n

    4. Do\u011fruluk (Veri Do\u011frulu\u011fu)<\/h3>\n\n\n\n

    Veracity (Veri Do\u011frulu\u011fu), verilerin kalite ve do\u011frulu\u011funu sorgular. Kurulu\u015flar, temiz veri elde etmek i\u00e7in verilerini sistemlere ba\u011flamal\u0131, temizlemeli ve d\u00f6n\u00fc\u015ft\u00fcrmelidir. Verilerini kontrol alt\u0131nda tutmak i\u00e7in hiyerar\u015filere ve \u00e7oklu veri ba\u011flant\u0131lar\u0131na ihtiya\u00e7lar\u0131 vard\u0131r.<\/p>\n\n\n\n

    5. Value (Veri De\u011feri)<\/h3>\n\n\n\n

    Piramidin zirvesinde, de\u011fer yani veri y\u0131\u011f\u0131n\u0131n i\u00e7inden uygulanabilir i\u015f i\u00e7g\u00f6r\u00fcleri elde etme yetene\u011fi bulunur.<\/p>\n\n\n\n

    De\u011fer, web sitesine ka\u00e7 yeni \u00fcyenin kat\u0131laca\u011f\u0131n\u0131, ka\u00e7 m\u00fc\u015fterinin sigorta poli\u00e7elerini yenileyece\u011fini, \u00fcr\u00fcnlerle ilgili ka\u00e7 sipari\u015f olaca\u011f\u0131n\u0131n vb. tahmin edilmesi; i\u015fletmelerin en iyi m\u00fc\u015fterilerinin kim oldu\u011funu ve kimin birka\u00e7 hafta veya ay i\u00e7inde m\u00fc\u015fterisi olmaktan vazge\u00e7ece\u011fini bilmesidir.<\/p>\n\n\n\n

    \u015eirketler, b\u00fcy\u00fck verinin sa\u011flad\u0131\u011f\u0131 i\u00e7g\u00f6r\u00fclerden para kazanma becerileriyle de\u011fer kazan\u0131r. M\u00fc\u015fterilerini daha iyi tan\u0131rlar ve daha alakal\u0131 teklifler sunmaya \u00e7al\u0131\u015f\u0131rlar.<\/p>\n\n\n\n

    B\u00fcy\u00fck Veri Nas\u0131l Kullan\u0131l\u0131r?<\/h2>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    Sa\u011fl\u0131k sistemlerinde b\u00fcy\u00fck veri, hastal\u0131klar\u0131n yayg\u0131n semptomlar\u0131n\u0131 bulmak veya herhangi bir zamanda bir hastane kat\u0131na ne kadar personel yerle\u015ftirilece\u011fine karar vermek i\u00e7in kullan\u0131labilir. H\u00fck\u00fcmetler, yeni yollar planlamak i\u00e7in trafik verilerini kullanabilir ya da bir i\u015fletme, m\u00fc\u015fteri tercihlerini daha iyi anlamak i\u00e7in toplad\u0131klar\u0131 verileri analiz edebilir. <\/p>\n\n\n\n

    T\u00fcm bu analizleri yapabilmek i\u00e7in b\u00fcy\u00fck veriyle \u00e7al\u0131\u015fan veri analistleri ve di\u011fer profesyoneller a\u015fa\u011f\u0131daki ara\u00e7lar\u0131 ve y\u00f6ntemleri kullan\u0131r:<\/p>\n\n\n\n

    1. Tahmine dayal\u0131 analitik<\/h3>\n\n\n\n

    Analistler, tahmine dayal\u0131 modeller ve makine \u00f6\u011frenimi teknolojisini kullanarak gelecekteki olaylar\u0131n veya e\u011filimlerin olas\u0131l\u0131\u011f\u0131n\u0131 tahmin etmek i\u00e7in verileri kullanabilir.<\/p>\n\n\n\n

    2. Veri madencili\u011fi<\/h3>\n\n\n\n

    Veri madencili\u011fi, kal\u0131plar\u0131, e\u011filimleri ve korelasyonlar\u0131 bulmak i\u00e7in b\u00fcy\u00fck miktarda veriyi tarayan bir s\u00fcreci ifade eder. Veri noktalar\u0131 aras\u0131ndaki ili\u015fkileri bulmak, kurulu\u015flar\u0131n karar vermesine yard\u0131mc\u0131 olmak i\u00e7in anahtard\u0131r.<\/p>\n\n\n\n

    3. Makine \u00f6\u011frenimi<\/h3>\n\n\n\n

    S\u00fcrekli \u00f6\u011frenen ve kendini geli\u015ftiren bir yapay zeka bi\u00e7imi olan makine \u00f6\u011frenimi, b\u00fcy\u00fck veri k\u00fcmelerinde e\u011filimleri tahmin etmeye ve kal\u0131plar\u0131 bulmaya yard\u0131mc\u0131 olur. Makine \u00f6\u011frenimi, yeni veri ak\u0131\u015flar\u0131na uyum sa\u011flamada yararl\u0131 olabilir.<\/p>\n\n\n\n

    4. Derin \u00f6\u011frenme<\/h3>\n\n\n\n

    Derin \u00f6\u011frenme, yapay sinir a\u011flar\u0131na dayanan ve insan beyninin \u00f6\u011frenme s\u00fcrecini taklit eden bir makine \u00f6\u011frenimi alt k\u00fcmesidir. Derin \u00f6\u011frenme genellikle konu\u015fma, metin tan\u0131ma ve bilgisayarla g\u00f6rme teknolojisinde kullan\u0131l\u0131r.<\/p>\n\n\n\n

    5. Veri ambarlar\u0131<\/h3>\n\n\n\n

    Veri ambarlar\u0131 b\u00fcy\u00fck miktarda ge\u00e7mi\u015f veriyi depolar. Veriler tipik olarak temizlenir, d\u00fczenlenir ve daha sonraki bir tarihte analiz edilmek \u00fczere eri\u015filebilir olur.<\/p>\n\n\n\n

    6. Hadoop<\/h3>\n\n\n\n

    Hadoop, \u00e7e\u015fitli bilgisayar k\u00fcmelerinde \u00e7al\u0131\u015fabilen b\u00fcy\u00fck miktarda veriyi depolamak ve i\u015flemek i\u00e7in kullan\u0131lan bir yaz\u0131l\u0131m  framework\u2019\u00fcd\u00fcr. Hadoop\u2019un kolayca \u00f6l\u00e7eklenebilme kapasitesi ve \u00e7e\u015fitli veri t\u00fcrlerini ayn\u0131 anda depolayabilme yetene\u011fi, onu b\u00fcy\u00fck verileri i\u015flemek i\u00e7in ba\u015fvurulan bir platform haline getirm\u00fc\u015ftir.<\/p>\n\n\n\n

    7. Apache Spark<\/h3>\n\n\n\n

    Apache Spark, veri analizini yapay zeka ile birle\u015ftiren bir yaz\u0131l\u0131m framework\u2019\u00fcd\u00fcr. Bir\u00e7ok durumda Hadoop’tan daha b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerinde analizleri daha h\u0131zl\u0131 ger\u00e7ekle\u015ftirebilir.<\/p>\n\n\n\n

    B\u00fcy\u00fck Veriden En \u00c7ok Veriyi \u00c7\u0131karmak \u0130\u00e7in Ara\u00e7lar<\/h2>\n\n\n\n

    B\u00fcy\u00fck veri, yapay zeka gibi \u00e7a\u011f\u0131m\u0131z\u0131n geli\u015fmi\u015f analitik \u00e7abalar\u0131n\u0131 besleyen \u015feydir. Bir \u015firket toplad\u0131\u011f\u0131 verileri ne kadar verimli kullan\u0131rsa, ondan daha fazla potansiyel \u00e7\u0131karabilir. B\u00fcy\u00fck hacimli verileri, \u00f6zellikle ger\u00e7ek zamanl\u0131 olarak y\u00f6netebilen ve analiz edebilen yaz\u0131l\u0131ma yat\u0131r\u0131m yapmak, b\u00fcy\u00fck veri y\u00f6netimi i\u00e7in hayati bir ad\u0131md\u0131r.<\/p>\n\n\n\n

    MapReduce, BigTable ve Hadoop: B\u00fcy\u00fck miktarda veri depolanacaksa ve i\u015f faaliyetlerini y\u00fcr\u00fctmenin daha iyi veya daha verimli yollar\u0131 belirlenecekse, Hadoop ve bulut tabanl\u0131 analitik gibi ara\u00e7lar kullan\u0131l\u0131r. Bunlar, maliyet avantajlar\u0131 sa\u011flamak i\u00e7in s\u00fcre\u00e7leri optimize etmeye yard\u0131mc\u0131 olur.<\/p>\n\n\n\n

    Ayr\u0131ca, bellek i\u00e7i analitik ile birle\u015ftirilmi\u015f Hadoop gibi ara\u00e7lar\u0131n y\u00fcksek h\u0131z\u0131, kullan\u0131lmayan kaynaklar\u0131n, yani analiz i\u00e7in daha yeni veri kaynaklar\u0131n\u0131n belirlenmesine yard\u0131mc\u0131 olur. Verileri yakalama ve analiz etme h\u0131z\u0131, \u015firketlerin h\u0131zl\u0131 kararlar almas\u0131 i\u00e7in b\u00fcy\u00fck bir varl\u0131kt\u0131r.<\/p>\n\n\n\n

    Karma\u015f\u0131k zorluklar ak\u0131ll\u0131 \u00e7\u00f6z\u00fcmlere ihtiya\u00e7 duyar. Platformlar\u0131n, kurumlar\u0131 en az BT bilgisine sahip olanlar\u0131n bile kullanabilmesini sa\u011flayan sezgisel, basit aray\u00fczlerle g\u00fc\u00e7lendirmesi gerekir. Platform ayn\u0131 zamanda b\u00fcy\u00fck verinin t\u00fcm yelpazesinden yararlanabilmeli ve bu da do\u011fru, ger\u00e7ek zamanl\u0131 analitik ile sonu\u00e7lanmal\u0131d\u0131r. \u00c7e\u015fitli kaynaklardan gelen \u00e7ok terabaytl\u0131k veri k\u00fcmelerini i\u015fleyebilmek ve bunu ba\u015far\u0131l\u0131 bir \u015fekilde yararl\u0131 i\u00e7g\u00f6r\u00fcler ve i\u015f ak\u0131\u015f\u0131 analiti\u011fi sa\u011flayan g\u00f6sterge tablolar\u0131na d\u00f6n\u00fc\u015ft\u00fcrmek, bir sistemi ba\u015far\u0131l\u0131 k\u0131lar.<\/p>\n\n\n\n

    B\u00fcy\u00fck Veri Analizi Ne \u0130\u015fe Yarar?<\/h2>\n\n\n\n
    \"\"<\/figure>\n\n\n\n

    B\u00fcy\u00fck veri analizi,<\/strong> \u00fcretimi veya tedarik planlamas\u0131n\u0131 optimize etmek i\u00e7in mevcut pazar ko\u015fullar\u0131, m\u00fc\u015fterilerin sat\u0131n alma davran\u0131\u015f\u0131, \u00fcr\u00fcn pop\u00fclerli\u011fi vb. hakk\u0131nda daha derin bir anlay\u0131\u015f sa\u011flar.<\/p>\n\n\n\n

    Benzer \u015fekilde, bir i\u015fletmenin m\u00fc\u015fterilerinin neleri sevdi\u011fini bilmesine, \u00f6deme yapan m\u00fc\u015fterilerinin hangi demografiye girdi\u011fine odaklanmas\u0131na ve ard\u0131ndan m\u00fc\u015fterileri uzun vadede elde tutmak i\u00e7in sadakatlerini \u00f6d\u00fcllendirmenin ve g\u00fc\u00e7lendirmenin yollar\u0131n\u0131 bulmas\u0131na yard\u0131mc\u0131 olur.<\/p>\n\n\n\n

    M\u00fc\u015fterileri mutlu etmek, i\u015fletmenin uzun \u00f6m\u00fcrl\u00fcl\u00fc\u011f\u00fc i\u00e7in \u00e7ok \u00f6nemlidir. B\u00fcy\u00fck verinin sa\u011flad\u0131\u011f\u0131 i\u00e7g\u00f6r\u00fcler, beklentileri y\u00f6netmeye ve \u00e7e\u015fitli m\u00fc\u015fteri ki\u015filikleri i\u00e7in ak\u0131lda kal\u0131c\u0131 ve etkili pazarlama kampanyalar\u0131 tasarlamaya yard\u0131mc\u0131 olabilir.<\/p>\n\n\n\n

    B\u00fcy\u00fck veri analiti\u011fi<\/strong>, ayr\u0131ca t\u00fcketicilerin markan\u0131z, hizmetiniz veya \u00fcr\u00fcn\u00fcn\u00fcz hakk\u0131nda ne hissetti\u011fini \u00f6l\u00e7en bir duyarl\u0131l\u0131k \u00f6l\u00e7er de olabilir. Bu, marka imaj\u0131n\u0131z\u0131 y\u00f6netmede size yard\u0131mc\u0131 olur. B\u00fcy\u00fck veri i\u00e7g\u00f6r\u00fcleri, \u00e7evrimi\u00e7i g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc ve pop\u00fclerli\u011fi art\u0131rmaya da yard\u0131mc\u0131 olabilir.<\/p>\n\n\n\n

    B\u00fcy\u00fck veri analiti\u011fi taraf\u0131ndan sa\u011flanan i\u00e7g\u00f6r\u00fcler, \u015firketlerin rekabette bir ad\u0131m \u00f6nde olmas\u0131 i\u00e7in \u00fcr\u00fcnlerini s\u00fcrekli olarak yenilemelerine ve yeniden geli\u015ftirmelerine yard\u0131mc\u0131 olur.<\/p>\n\n\n\n

    B\u00fcy\u00fck veri, kal\u0131plar\u0131 belirlemeye, risk portf\u00f6ylerini hesaplamaya ve ciddi hasar olu\u015fmadan \u00f6nce sahtekarl\u0131\u011f\u0131 \u00f6nlemeye de yard\u0131mc\u0131 olur.<\/p>\n\n\n\n

    B\u00fcy\u00fck Verilerin \u0130\u015flenmesinden Elde Edilen Uzun Vadeli Faydalar<\/h2>\n\n\n\n

    Kurulu\u015flar, b\u00fcy\u00fck verileri i\u015flemek<\/strong> i\u00e7in gereken altyap\u0131ya zaman ve kaynak yat\u0131rd\u0131ktan sonra, a\u015fa\u011f\u0131daki avantajlardan yararlanmay\u0131 bekleyebilir:<\/p>\n\n\n\n

    • Kaynak ve envanter planlamas\u0131n\u0131 optimize etme<\/li>
    • Daha iyi varl\u0131k y\u00f6netimi<\/li>
    • M\u00fc\u015fteri profillerinin daha sezgisel anla\u015f\u0131lmas\u0131<\/li>
    • \u0130yile\u015ftirilmi\u015f m\u00fc\u015fteri, sat\u0131c\u0131 ve tedarik\u00e7i ili\u015fkileri<\/li>
    • Daha k\u0131sa sipari\u015f-teslimat s\u00fcreleri<\/li>
    • T\u00fcm tedarik zincirlerinde daha iyi entegrasyon<\/li>
    • Daha etkili stratejik planlama<\/li>
    • Tedarik zinciri sorunlar\u0131n\u0131 \u00e7\u00f6zmek i\u00e7in daha k\u0131sa reaksiyon s\u00fcresi<\/li>
    • \u0130yile\u015ftirilmi\u015f m\u00fc\u015fteri hizmetleri ve daha h\u0131zl\u0131 geri d\u00f6n\u00fc\u015f<\/li><\/ul>\n\n\n\n

      B\u00fcy\u00fck Veri Sekt\u00f6rleri Nas\u0131l Etkiliyor?<\/h2>\n\n\n\n

      1. E\u011fitim Sekt\u00f6r\u00fcnde B\u00fcy\u00fck Veri<\/h3>\n\n\n\n

      B\u00fcy\u00fck veri, e\u011fitim sekt\u00f6r\u00fcnde, \u00f6zellikle a\u015fa\u011f\u0131daki alanlarda b\u00fcy\u00fck de\u011fi\u015fikliklere neden oldu:<\/p>\n\n\n\n

      • Daha \u00f6zelle\u015ftirilmi\u015f, dinamik ve etkile\u015fimli \u00f6\u011frenme ve geli\u015ftirme programlar\u0131 olu\u015fturma.<\/li>
      • Ders materyallerinin kapsam\u0131n\u0131n yeniden tan\u0131mlanmas\u0131.<\/li>
      • Not verme sistemlerini de\u011fi\u015ftirme.<\/li>
      • Kariyer tahmini ve dan\u0131\u015fmanl\u0131\u011f\u0131.<\/li><\/ul>\n\n\n\n

        2. Sigortac\u0131l\u0131k Sekt\u00f6r\u00fcnde B\u00fcy\u00fck Veri<\/h3>\n\n\n\n

        Bir m\u00fc\u015fteri belirli bir \u00fclkede seyahat ederken araba sigortas\u0131 sat\u0131n almakla ilgileniyorsa, sigorta \u015firketi o \u00fclkedeki s\u00fcr\u00fc\u015f ko\u015fullar\u0131 ve yol g\u00fcvenli\u011fi verilerini toplay\u0131p \u00e7al\u0131\u015ft\u0131rarak primi buna g\u00f6re ayarlayabilir. Ayr\u0131ca, ki\u015finin s\u00fcr\u00fc\u015f g\u00fcvenli\u011fi kayd\u0131n\u0131 toplayabilir ve ona bir sat\u0131n alma politikas\u0131 sunmadan \u00f6nce bunu hesaba katabilir.<\/p>\n\n\n\n

        Bu t\u00fcr bir risk de\u011ferlendirmesine ek olarak, sigorta \u015firketleri, tehdit haritalamas\u0131 i\u00e7in b\u00fcy\u00fck verileri kullanabilir. Bu, belirli bir m\u00fc\u015fteri veya \u015firkette i\u015flerin ters gidebilece\u011fi ve bir hak talebinde bulunmalar\u0131na yol a\u00e7abilecek farkl\u0131 olas\u0131l\u0131klar\u0131 hesaba katabilecekleri anlam\u0131na gelir.<\/p>\n\n\n\n

        3. Devlette B\u00fcy\u00fck Veri<\/h3>\n\n\n\n

        B\u00fcy\u00fck verilerin \u00f6zellikle d\u00fcnya \u00e7ap\u0131nda h\u00fck\u00fcmetler i\u00e7in etkili oldu\u011fu kan\u0131tlanm\u0131\u015ft\u0131r. Karma\u015f\u0131k sorunlar\u0131 ele alma, y\u00f6netimi sa\u011flama ve b\u00fcy\u00fck olaylar\u0131 sadece yerel de\u011fil, ayn\u0131 zamanda ulusal ve k\u00fcresel \u00f6l\u00e7ekte ele almakta etkilidir.<\/p>\n","protected":false},"excerpt":{"rendered":"

        Big data yani b\u00fcy\u00fck veri, verinin analiz edilip s\u0131n\u0131fland\u0131r\u0131lm\u0131\u015f, anlaml\u0131 ve i\u015flenebilir hale d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015f halidir. Hem yap\u0131land\u0131r\u0131lm\u0131\u015f hem de yap\u0131land\u0131r\u0131lmam\u0131\u015f veri t\u00fcrlerini i\u00e7eren b\u00fcy\u00fck veri,…<\/p>\n","protected":false},"author":11,"featured_media":5687,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45,44],"tags":[],"class_list":["post-5686","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-internet","category-nedir-nasil-yapilir"],"yoast_head":"\nBig Data (B\u00fcy\u00fck Veri) Nedir? - Niobe Hosting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.niobehosting.com\/blog\/big-data-buyuk-veri-nedir\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big Data (B\u00fcy\u00fck Veri) Nedir? - Niobe Hosting\" \/>\n<meta property=\"og:description\" content=\"Big data yani b\u00fcy\u00fck veri, verinin analiz edilip s\u0131n\u0131fland\u0131r\u0131lm\u0131\u015f, anlaml\u0131 ve i\u015flenebilir hale d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015f halidir. 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