16 citations · 35 across the 5 of their papers we have counts for
3 papers · 1 filter
Fine-Grained Lineage for Safer Notebook Interactions
Stephen Macke, Hongpu Gong, Doris Jung-Lin Lee +3
Computational notebooks have emerged as the platform of choice for data science and analytical workflows, enabling rapid iteration and exploration. By keeping intermediate program…
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees
Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas +2
Aggregating data is fundamental to data analytics, data exploration, and OLAP. Approximate query processing (AQP) techniques are often used to accelerate computation of aggregates…
Towards Scalable Dataframe Systems
Devin Petersohn, Stephen Macke, Doris Xin +7
Dataframes are a popular abstraction to represent, prepare, and analyze data. Despite the remarkable success of dataframe libraries in Rand Python, dataframes face performance issu…