The costs and benefits of turning data into information using big data systems

Name: The costs and benefits of turning data into information using big data systems
Author: Koca, Melih

İsim	The costs and benefits of turning data into information using big data systems
Yazar	Koca, Melih
Basım Tarihi:	2014-08
Konu	Computer Engineering and Computer Science and Control
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Kayıt Numarası	4cff6d84-3891-47d0-9710-fc2a071521c2
Lokasyon	Department of Computer Science
Tarih	2014-08
Örnek Metin	This thesis explains problems of and solutions for storing and processing big volumes and streaming types of data in a cost-e ective way for enterprise companies. There are several problems like operational, infrastructural and usability problems about these new concepts of Big Data. The basic data processing concepts are not new, but the data generation volumes and velocities are pushing the limits of centralized architectures. Distributed systems using distributed programming models such as the Hadoop framework are used today to handle big data problems. This thesis will try to combine the structural, architectural and nancial issues to address big data storage and processing problems and will give practical examples based on real-life experiences from several big data applications in di erent sectors including mobile telecommunications, nance and oil-gas elds., Bu tez kurumsal rmalardaki b uy uk miktarlardaki verinin, i slenmeside ve saklanmas ndaki zorluklar ve c oz umlerini a c klmaktad r. Yeni ortaya ckan b uy uk veri kavram nda i sletimsel, mimari ve kullan msal olarak bir cok problem bulunmaktad r. Temel veri i sleme y ontemleri yeni olmamas na kar s n, olu san veri miktar ve h z , merkezi mimarilerin s n rlar n zorlamaktad r. Hadoop gibi, da g t k i sleme modellerini kullanan, da g t k mimariler g un um uzde b uy uk verinin i slenmesi ve saklanmas nda anahtar rol oynamaktad rlar. Bu tez b uy uk veriyi i slemede, yap sal, mimari ve nansal olarak sorun te skil eden durumlar n ger cek hayat deneyimleri uzerinden, telekominikasyon, nans ve petrol ra nerileri gibi sekt or bazl c oz umlerini a c klamay ama clamaktad r.

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The costs and benefits of turning data into information using big data systems

Yazar Koca, Melih

Basım Tarihi 2014-08

Konu Computer Engineering and Computer Science and Control

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Kayıt Numarası 4cff6d84-3891-47d0-9710-fc2a071521c2

Lokasyon Department of Computer Science

Tarih 2014-08

Örnek Metin This thesis explains problems of and solutions for storing and processing big volumes and streaming types of data in a cost-e ective way for enterprise companies. There are several problems like operational, infrastructural and usability problems about these new concepts of Big Data. The basic data processing concepts are not new, but the data generation volumes and velocities are pushing the limits of centralized architectures. Distributed systems using distributed programming models such as the Hadoop framework are used today to handle big data problems. This thesis will try to combine the structural, architectural and nancial issues to address big data storage and processing problems and will give practical examples based on real-life experiences from several big data applications in di erent sectors including mobile telecommunications, nance and oil-gas elds., Bu tez kurumsal rmalardaki b uy uk miktarlardaki verinin, i slenmeside ve saklanmas ndaki zorluklar ve c oz umlerini a c klmaktad r. Yeni ortaya ckan b uy uk veri kavram nda i sletimsel, mimari ve kullan msal olarak bir cok problem bulunmaktad r. Temel veri i sleme y ontemleri yeni olmamas na kar s n, olu san veri miktar ve h z , merkezi mimarilerin s n rlar n zorlamaktad r. Hadoop gibi, da g t k i sleme modellerini kullanan, da g t k mimariler g un um uzde b uy uk verinin i slenmesi ve saklanmas nda anahtar rol oynamaktad rlar. Bu tez b uy uk veriyi i slemede, yap sal, mimari ve nansal olarak sorun te skil eden durumlar n ger cek hayat deneyimleri uzerinden, telekominikasyon, nans ve petrol ra nerileri gibi sekt or bazl c oz umlerini a c klamay ama clamaktad r.