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SAS is a versatile tool for handling and computing large amount of data in limited computational resources, for analytics, artificial intelligence and data management. However, given that SAS is not available for FREE, most data scientists are used to working on Python and R. In pursuit of conducting a Biomedical research work while I was in Virginia, USA, in parallel I also developed a toolkit which can help a R/Python proficient worker to switch to SAS and vice-versa. The work was made available through GitHub for FREE
and was published in a reputed journal:
Abhishek Narain Singh, ‘SasCsvToolkit’ - A versatile parallel `bag-of-tasks` job submission application on heterogeneous and homogeneous platforms for Big Data Analytics such as for Biomedical Informatics , . J Proteomics Bioinform.14:547
Don't forget to cite.