GELECEĞİN KURULUŞLARI İÇİN BÜYÜK VERİ MEVCUT DURUM VE EĞİLİMLER

Date

2016-10-06

Author

Kayabay, Kerem
Gökalp, Mert Onuralp
Eren, Pekin Erhan
Koçyiğit, Altan

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Exponential growth in data volume originating from Internet of Thingssources and information services drives the industry to develop new models and distributed tools to handle big data. In order to achieve strategic advantages, effective use of these tools and integrating results to their business processes are critical for enterprises. While there is an abundance of tools available in the market, they are underutilized by organizations due to their complexities. Deployment and usage of big data analysis tools require technical expertise which most of the organizations don’t yet possess. Recently, the trend in the IT industry is towards developing prebuilt libraries and dataflow based programming models to abstract users from low-level complexities of these tools. The goal of this paper is to present state-of-the-art big data analysis techniques existing in the literature, and also to identify trends in the sector to foresee how big data will be utilized by future enterprises.

Subject Keywords

Industry 4.0, Stream processing, Machine learning

URI

https://hdl.handle.net/11511/86134

Conference Name

3rd International Management Information Systems Conference, 6 - 08 Ekim 2016

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

K. Kayabay, M. O. Gökalp, P. E. Eren, and A. Koçyiğit, “GELECEĞİN KURULUŞLARI İÇİN BÜYÜK VERİ MEVCUT DURUM VE EĞİLİMLER,” presented at the 3rd International Management Information Systems Conference, 6 - 08 Ekim 2016, İzmir, Türkiye, 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/86134.