A Theoretical Study on Advances in Streaming Analytics
2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService)
Streaming analytics is an ever-growing field in today's world of continuous data generation. Terabytes of data is generated every day, every second from modern digital technologies such as cloud computing and the Internet of Things. Analyzing this massive data require good knowledge of available tools and technologies, and their advantages and limitations. In order to address this issue, in this paper we analyze the advances in the field of streaming analytics. This study can act as a guide for researchers and organizations that plan on implementing real-time streaming analytics tools and frameworks. This study also points out the scope of future work for researchers, based on the limitations of currently available frameworks.
Big data, Data ingestion tools, Real-time data, Stream data processing tools, Streaming analytics
Sai Chaitanya Tolem, Chaithanya Reddy Bogadi, Naga Sindhu Korlapati, Sindu Ravichandran, Rajasree Rajendran, and Chandrasekar Vuppalapati. "A Theoretical Study on Advances in Streaming Analytics" 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService) (2020): 41-45. https://doi.org/10.1109/BigDataService49289.2020.00014