activity
20092023
most citedSprintz: Time Series Compression for the Internet of Things

130 citations · 606 across the 44 of their papers we have counts for

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Showing cs.DBShow all

29 papers · 1 filter

cs.DB2023★ 15 cited

Extract-Transform-Load for Video Streams

Ferdinand Kossmann, Ziniu Wu, Eugenie Lai +4

Social media, self-driving cars, and traffic cameras produce video streams at large scales and cheap cost. However, storing and querying video at such scales is prohibitively expen…

cs.DB2023

Lingua Manga: A Generic Large Language Model Centric System for Data Curation

Zui Chen, Lei Cao, Sam Madden

Data curation is a wide-ranging area which contains many critical but time-consuming data processing tasks. However, the diversity of such tasks makes it challenging to develop a g…

cs.DB2020

A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics (Extended Version)

Anil Shanbhag, Samuel Madden, Xiangyao Yu

There has been significant amount of excitement and recent work on GPU-based database systems. Previous work has claimed that these systems can perform orders of magnitude better t…

cs.DB2019★ 4 cited

Dataset-On-Demand: Automatic View Search and Presentation for Data Discovery

Raul Castro Fernandez, Nan Tang, Mourad Ouzzani +2

Many data problems are solved when the right view of a combination of datasets is identified. Finding such a view is challenging because of the many tables spread across many datab…

cs.DB2019★ 6 cited

Starling: A Scalable Query Engine on Cloud Function Services

Matthew Perron, Raul Castro Fernandez, David DeWitt +1

Much like on-premises systems, the natural choice for running database analytics workloads in the cloud is to provision a cluster of nodes to run a database instance. However, anal…

cs.DB2019★ 1 cited

Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation

Ji Sun, Dong Deng, Ihab Ilyas +5

An end-to-end data integration system requires human feedback in several phases, including collecting training data for entity matching, debugging the resulting clusters, confirmin…