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Big Data Analysis using BigQuery on Cloud Computing Platform


Md. Husen Ali1*, Md. Sarwar Hosain1, and Md. Anwar Hossain1


1Department of Information and Communication Engineering, Pabna University of Science and Technology (PUST), Pabna, Bangladesh. 

*Correspondence: husenali.ice@gmail.com (Md. Husen Ali, Research Student, Department of Information and Communication Engineering, PUST, Pabna, Bangladesh).

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ABSTRACT

End the age of digitalization, data generated from numerous online and offline sources in every second. The Data are having a considerable amount of size and several properties termed as Bigdata. It is challenging to store, manage processes, analyze, visualize, and extract useful information from Bigdata using traditional approaches in local machines. To resolve this cloud computing platform is the solution. Cloud computing has high-level processing units, storage, and applications that do not depend on user devices' performance. Many users can access resources and demanded services remotely from the cloud on a pay-as-use basis. That is why users are not needed to buy and install costly resources locally. Some cloud services providers are Google, AWS, IBM, and Microsoft, and they have their Bigdata analyzing robust systems and products in a cost-efficient manner. There are many Cloud Service Providers (CSP's) having different services of Bigdata analyzing filed. However, we discuss in the paper about an excellent service BigQuery in the Data warehouse product of Google to analyze and represent numerous samples of datasets in real-time for making the right decisions within a short time. 


Keywords: Bigdata, Cloud computing, Services provider of cloud, Google cloud computing, and BigQuery.


Citation: Ali MH, Hosain MS, and Hossain MA. (2021). Big data analysis using bigquery on cloud computing platform, Aust. J. Eng. Innov. Technol., 3(1), 1-9. https://doi.org/10.34104/ajeit.021.0109


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