25 citations · 77 across the 17 of their papers we have counts for
6 papers · 1 filter
RUBICON: Agentic AI for Messy Enterprise Data
Fabian Wenz, Felix Treutwein, Çagatay Demiralp +1
Enterprise data exists in many forms, such as tables, text, maps, e-mail, and CAD models, that are access-controlled and hidden behind bespoke interfaces. Current agentic AI system…
Humboldt: Metadata-Driven Extensible Data Discovery
Alex Bäuerle, Çağatay Demiralp, Michael Stonebraker
Data discovery is crucial for data management and analysis and can benefit from better utilization of metadata. For example, users may want to search data using queries like ``find…
Transactions Make Debugging Easy
Qian Li, Peter Kraft, Michael Cafarella +6
We propose TROD, a novel transaction-oriented framework for debugging modern distributed web applications and online services. Our critical insight is that if applications store al…
Sigma Workbook: A Spreadsheet for Cloud Data Warehouses
James Gale, Max Seiden, Deepanshu Utkarsh +3
Cloud data warehouses (CDWs) bring large-scale data and compute power closer to users in enterprises. However, existing tools for analyzing data in CDWs are either limited in ad-ho…
Augmenting Decision Making via Interactive What-If Analysis
Sneha Gathani, Madelon Hulsebos, James Gale +2
The fundamental goal of business data analysis is to improve business decisions using data. Business users often make decisions to achieve key performance indicators (KPIs) such as…
Foresight: Recommending Visual Insights
Çağatay Demiralp, Peter J. Haas, Srinivasan Parthasarathy +1
Current tools for exploratory data analysis (EDA) require users to manually select data attributes, statistical computations and visual encodings. This can be daunting for large-sc…