Abstract:Dataframes have become a popular means to represent, transform and analyze data. This approach has gained traction and a large user base for data science practitioners -resulting in a new wave of systems that implement a dataframe API but allow for performance, efficiency, and distributed/parallel extensions to systems such as R and pandas. However, unlike relational databases and NoSQL systems with a variety of benchmarking, testing, and workload generation suites, there is an acute lack of similar tools for … Show more
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