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International Journal of Scientific Development and Research - IJSDR
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Authors Name: R.Suganya , M. Pavithra , A.Rathika , R.Ashwini
Unique Id: IJSDR1909009
Published In: Volume 4 Issue 9, September-2019
Abstract: The advent of the digital age has led to a rise in different types of data with every passing day. In fact, it is expected that half of the total data will be on the cloud by 2016 [1]. This data is complex and needs to be stored, processed and analyzed for information that can be used by organizations [2]. Cloud computing provides an apt platform for big data analytics in view of the storage and computing requirements of the latter. This makes cloud-based analytics a viable research field. However, several issues need to be addressed and risks need to be mitigated before practical applications of this synergistic model can be popularly used [3]. It explores the existing research, challenges, open issues and future research direction for this field of study. It discusses approaches and environments for carrying out analytics on Clouds for Big Data applications [4]. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures; (ii) model development and scoring; (iii) visualization and user interaction; and (iv) business models. Through a detailed survey, we identify possible gaps in technology and provide recommendations for the research community on future directions on Cloud-supported Big Data computing and analytics solutions [5]. A cloud framework refers to the aggregation of components like development tools, middleware and database services, needed for cloud computing, which aids in developing, deploying and managing cloud based applications strenuously, consequently making it an efficacious paradigm for massive scaling of dynamically allocated resources and their complex computing. Big Data Analytics (BDA) delivers data management solutions in the cloud architecture for storing, analyzing and processing a huge volume of data [6]. It presents a survey for performance based comparative analysis of cloud-based big data frameworks from leading enterprises like Amazon, Google, IBM, and Microsoft, which will assist researcher, IT analysts, reader and business user in picking the framework best suited for their work ensuring success in terms of favorable outcomes [7].
Keywords: Cloud-based Big Data Analytics, Big Data, Big Data Analytics, Big Data Cloud Computing, Big Data, Cloud based Big Data Enterprise Solutions, Big Data Storage, Big Data Warehouse, Streaming Data, Amazon Web Services (AWS), Google Cloud Platform (GCP), IBM Cloud, Microsoft Azure
Cite Article: "CLOUD BASED BIG DATA ANALYTICS: A SURVEY OF CURRENT RESEARCH AND FUTURE DIRECTIONS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 9, page no.55 - 63, September-2019, Available :http://www.ijsdr.org/papers/IJSDR1909009.pdf
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Publication Details: Published Paper ID: IJSDR1909009
Registration ID:190926
Published In: Volume 4 Issue 9, September-2019
DOI (Digital Object Identifier):
Page No: 55 - 63
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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