BÜYÜK VERİ’NİN V’leri ve VERİ ANALİTİĞİ

Abstract

Bilgisayar teknolojisindeki gelişmelerle birlikte büyük veri günümüzün en dikkat çekici konularından biri olmaya devam etmektedir. 2000’li yıllarında Büyüklük (Volume), Hız (Velocity) ve Çeşitlilik (Variety) özellikleri ile tanımlanmaya çalışılan bu kavram 20 yıllık bir dönem içinde her geçen zamanda kendisine yeni bir V ekleyerek 50’ye V’li özelliğe sahip olarak karşımıza çıkmış durumdadır. Belli ki bu bu V’lerde artış devam edecektir. Çalışmada literatürde en çok karşılaşılan 30’un üzerindeki V’li kavramlar tanıtılmış ve diğer kavramlar için kaynak önerilerinde bulunulmuştur. Ancak büyük veriyi bu kadar önemli kılan hiç şüphesiz onun bu ham hali değil, veri analitiği denilen tekniklerle işlenerek bilgiye dönüştürülmesi ve karar verme sürecinde kullanılan en önemli girdilerinden birini oluşturmasıdır. Bu çalışmada veri analitiği kavramına ilişkin bilgiler sunulmuş, veri kaynakları ile kullanılma amaçları bakımından veri analitiği bir sınıflandırmaya tabi tutulmuştur. Son olarak da işletmeler başta olmak üzere kuruluşların bu büyük veriden ve veri analitiğinden sağlayabilecekleri faydalar sıralanmıştır. Çalışma bu kadar büyük bir konunun belirli boyutlarını ele almıştır, ancak bu konu gelişime açıktır. İleriki çalışmalarda veri analitiğinde kullanılan araçlar ve tekniklere, veri analitiğinde karşılaşılan sorunlara ve ileride gözlemlenebilecek trendlere ilişkin bilgiler sunularak çalışma geliştirilebilir.

Keywords

• Büyük veri
• Veri analitiği
• Veri analitiği türleri

V’s of BIG DATA and DATA ANALYTICS

Abstract

With the developments in computer technology, big data continues to be one of the most remarkable issues today. This concept, which was tried to be defined with the features of Volume, Velocity and Variety in the 2000s, has emerged as a 50-V feature by adding a new V to itself over a 20-year period. Obviously these Vs will continue to increase. In the study, more than 30 most common V concepts in the literature were introduced and resource suggestions were made for other concepts. However, what makes big data so important is undoubtedly not its raw form, but the fact that it is transformed into information by processing with techniques called data analytics and constitutes one of the most important inputs used in the decision-making process. In this study, information on the concept of data analytics has been presented, and data analytics has been classified in terms of data sources and purposes of use. Finally, the benefits that organizations, especially businesses, can derive from this big data and data analytics are listed. The study has addressed certain aspects of such a large topic, but it is open to improvement. The study can be improved by presenting information about the tools and techniques used in data analytics, the problems encountered in data analytics, and the trends that can be observed in the future in future studies.

Keywords

• Big Data
• Data analytics
• Types of data analytics

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