HPCC Systems

Organization profile

Organization Profile

The HPCC Systems platform is a set of easy-to-use software features, enabling developers and data scientists to process and analyze data at any scale. With a strong commitment to the open source community, the HPCC Systems platform is available free of licensing and service costs.

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Miners Engineering & Materials Science
Cloud computing Engineering & Materials Science
Websites Engineering & Materials Science
Sampling Engineering & Materials Science
Testing Engineering & Materials Science
Students Engineering & Materials Science
Web services Engineering & Materials Science
HTML Engineering & Materials Science

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Projects 2018 2019

Automated Data Skew Profiler

Mishra, H. & Jayant, S.

01/1/1812/31/18

Project: Research

Research Output 2016 2019

Data Skew Profiling using HPCC Systems

Mishra, H., Jayant, S., Chala, A., Camper, D., Shobha, G. & Shetty, J., Mar 30 2019, ICBDE 2019 - 2019 International Conference on Big Data and Education. p. 66-69 4 p. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingChapter

Processing
Cluster computing
Distributed computer systems
Information management
Big data

Design and Development of IoT Plugin for HPCC Systems

Kashi, A. V., Jakaraddi, M., Shetty, J., Chala, A. & Camper, D., May 10 2019, 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019. p. 158-162 5 p. 8713225. (2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019).

Research output: Chapter in Book/Report/Conference proceedingChapter

Sensors
Internet of things
Big data

Predicting Breakdowns in Cloud Services (with SPIKE

Chen, J., Chakraborty, J., Clark, P., Haverlock, K., Cherian, S. & Menzies, T., Aug 12 2019, ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Apel, S., Dumas, M., Russo, A. & Pfahl, D. (eds.). p. 916-924 9 p. (ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Web services
Sampling
Data mining
Logistics
Topology