Data platforms and analytics
Publication
STEAM: Observability-Preserving Trace Sampling
Video
Large Scale Intelligent Microservices – IEEE Big Data 2020 Paper Presentation
Deploying Machine Learning (ML) algorithms within databases is a challenge due to the varied computational footprints of modern ML algorithms and the myriad of database technologies each with their own restrictive syntax. We introduce an…
Video
Demonstration of CORNET: Learning Spreadsheet Formatting Rules by Example
Abstract: Data management and analysis tasks are often carried out using spreadsheet software. A popular feature in most spreadsheet platforms is the ability to define data-dependent formatting rules. These rules can express actions such as…
Project
Query Acceleration for Data Lakes
Accelerating query processing on open data formats As businesses become more data-driven, there is an increasing interest in adopting data lakes (e.g., Microsoft Fabric) in large enterprises. A data lake is a large storage repository…
Project
Self-service Data Preparation
It is often cited that data scientists spend a significant portion of their time (up to 80%), cleaning and preparing data. For less-technical users, who may be less proficient in writing code (e.g., in Excel,…
Project
FRA: Flexible Resource Allocation in Multi-Tenant Relational Database-as-a-Service
Oversubscription is an essential cost management strategy in multi-tenant, cloud Database-as-a-Service (DBaaS), and its importance is magnified by the emergence of serverless databases. In the FRA project, we have developed novel resource management techniques that…
Video
VLDB 2023 Presentation for CORNET: Learning Table Formatting Rules By Example
Cornet: Learning Table Formatting Rules By Example. Mukul Singh, José Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, and Gust Verbruggen. Proc. VLDB Endow. 16, 10 (June 2023), 2632–2644. Link to PDF of…
Publication