The Obstacles in Big Data Process

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Rasim M. Alguliyev 1,* Rena T. Gasimova 2 Rahim N. Abbasli 2

1. Institute of Information Technology of Azerbaijan National Academy of Sciences 9, B. Vahabzade str., Baku, AZ1141, Azerbaijan

2. Institute of Information Technology of Azerbaijan National Academy of Sciences 9, B. Vahabzade str., Baku, AZ1141, Azerbaijan, GoEasy LTD, Canada, Mississauga L5B2N5

* Corresponding author.


Received: 10 Sep. 2016 / Revised: 18 Oct. 2016 / Accepted: 16 Jan. 2017 / Published: 8 Mar. 2017

Index Terms

Big data, big data analytics, database, management, NoSQL, MapReduce, Hadoop, cloud, data scientists


The increasing amount of data and a need to analyze the given data in a timely manner for multiple purposes has created a serious barrier in the big data analysis process. This article describes the challenges that big data creates at each step of the big data analysis process. These problems include typical analytical problems as well as the most uncommon challenges that are futuristic for the big data only. The article breaks down problems for each step of the big data analysis process and discusses these problems separately at each stage. It also offers some simplistic ways to solve these problems.

Cite This Paper

Rasim M. Alguliyev, Rena T. Gasimova, Rahim N. Abbaslı, "The Obstacles in Big Data Process", International Journal of Modern Education and Computer Science(IJMECS), Vol.9, No.3, pp.28-35, 2017. DOI:10.5815/ijmecs.2017.03.04


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