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Tappert, Charles
- Big Data in Cloud Computing Review and Opportunities
Abstract Views :339 |
PDF Views:153
Authors
Affiliations
1 Seidenberg School of CSIS, Pace University, White Plains, New York, US
1 Seidenberg School of CSIS, Pace University, White Plains, New York, US
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 11, No 4 (2019), Pagination: 43-57Abstract
Big Data is used in decision making process to gain useful insights hidden in the data for business and engineering. At the same time it presents challenges in processing, cloud computing has helped in advancement of big data by providing computational, networking and storage capacity. This paper presents the review, opportunities and challenges of transforming big data using cloud computing resources.Keywords
Big Data, Cloud Computing, Analytics, Database, Data Warehouse.Full Text
References
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- Muniswamaiah, Manoj & Agerwala, Tilak & Tappert, Charles. (2019). Challenges of Big Data Applications in Cloud Computing. 221-232. 10.5121/csit.2019.90918.
- Query Optimization for Big Data Analytics
Abstract Views :244 |
PDF Views:117
Authors
Affiliations
1 Seidenberg School of CSIS, Pace University, White Plains, New York, US
1 Seidenberg School of CSIS, Pace University, White Plains, New York, US
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 11, No 5 (2019), Pagination: 77-82Abstract
Organizations adopt different databases for big data which is huge in volume and have different data models. Querying big data is challenging yet crucial for any business. The data warehouses traditionally built with On-line Transaction Processing (OLTP) centric technologies must be modernized to scale to the ever-growing demand of data. With rapid change in requirements it is important to have near real time response from the big data gathered so that business decisions needed to address new challenges can be made in a timely manner. The main focus of our research is to improve the performance of query execution for big data.Keywords
Databases, Big data, Optimization, Analytical Query, Data Analysts and Data Scientists.Full Text
References
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- Muniswamaiah, Manoj & Agerwala, Tilak & Tappert, Charles. (2019). Query Performance Optimization in Databases for Big Data. 85-90. 10.5121/csit.2019.90908.
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