Computational notebooks (e.g., Jupyter, Google Colab) are widely used fo...
The end-to-end lookup latency of a hierarchical index – such as a B-tree...
In machine learning (ML), Python serves as a convenient abstraction for
...
With data pipeline tools and the expressiveness of SQL, managing
interde...
For exploratory data analysis, it is often desirable to know what answer...
Existing learned indexes (e.g., RMI, ALEX, PGM) optimize the internal
re...
Modern data warehouses can scale compute nodes independently of storage....
Estimating the selectivity of a query is a key step in almost any cost-b...
The rising volume of datasets has made training machine learning (ML) mo...
Despite 25 years of research in academia, approximate query processing (...