Technical Papers Session I: Performance analysis of ECG big data using Apache Hive and Apache Pig
Abstract/Description
Big Data has been observed as a revolution due to technological advancement since last few years. The process of examining the massive, gigantic, heterogeneous and multiplex datasets that are changing very often is called Big Data Analytics. Decision making by extracting information from complex and multi-structured data is not possible by using traditional means. Two keys elements of Hadoop, Apache Hive and Apache Pig are the most systematic and cost-effective for implementation of ECG Big Data. Apache Pig and Apache Hive are open source initiatives for examining huge sets of data in a high-level language. In this research, performance analysis of various datasets of ECG Big Data is performed by Apache Hive and Apache Pig. Different parameters of ECG Big Data have been observed and it is showed from results that Apache Pig has been considered more efficient and systematic in providing quick results in less time as compared to Apache Hive.
Location
Lecture Hall A (Aman Tower, 12th floor)
Session Theme
Technical Papers Session I - Data Science
Session Type
Parallel Technical Session
Session Chair
Dr Shahid Shaikh
Start Date
16-11-2019 2:30 PM
End Date
16-11-2019 2:50 PM
Recommended Citation
Ahmad, M., Kanwal, S., Cheema, M., & Habib, M. A. (2019). Technical Papers Session I: Performance analysis of ECG big data using Apache Hive and Apache Pig. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2019/2019/6
COinS
Technical Papers Session I: Performance analysis of ECG big data using Apache Hive and Apache Pig
Lecture Hall A (Aman Tower, 12th floor)
Big Data has been observed as a revolution due to technological advancement since last few years. The process of examining the massive, gigantic, heterogeneous and multiplex datasets that are changing very often is called Big Data Analytics. Decision making by extracting information from complex and multi-structured data is not possible by using traditional means. Two keys elements of Hadoop, Apache Hive and Apache Pig are the most systematic and cost-effective for implementation of ECG Big Data. Apache Pig and Apache Hive are open source initiatives for examining huge sets of data in a high-level language. In this research, performance analysis of various datasets of ECG Big Data is performed by Apache Hive and Apache Pig. Different parameters of ECG Big Data have been observed and it is showed from results that Apache Pig has been considered more efficient and systematic in providing quick results in less time as compared to Apache Hive.
