activity
20122021
most citedScaling Datalog for Machine Learning on Big Data

51 citations · 75 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2021

Design Trade-offs for a Robust Dynamic Hybrid Hash Join (Extended Version)

Shiva Jahangiri, Michael J. Carey, Johann-Christoph Freytag

The Join operator, as one of the most expensive and commonly used operators in database systems, plays a substantial role in Database Management System (DBMS) performance. Among th…

cs.DB20149 cited

Pregelix: Big(ger) Graph Analytics on A Dataflow Engine

Yingyi Bu, Vinayak Borkar, Jianfeng Jia +2

There is a growing need for distributed graph processing systems that are capable of gracefully scaling to very large graph datasets. Unfortunately, this challenge has not been eas…

cs.DB201414 cited

AsterixDB: A Scalable, Open Source BDMS

Sattam Alsubaiee, Yasser Altowim, Hotham Altwaijry +20

AsterixDB is a new, full-function BDMS (Big Data Management System) with a feature set that distinguishes it from other platforms in today's open source Big Data ecosystem. Its fea…

cs.DB20141 cited

Scalable Fault-Tolerant Data Feeds in AsterixDB

Raman Grover, Michael J. Carey

In this paper we describe the support for data feed ingestion in AsterixDB, an open-source Big Data Management System (BDMS) that provides a platform for storage and analysis of la…

cs.DB201251 cited

Scaling Datalog for Machine Learning on Big Data

Yingyi Bu, Vinayak Borkar, Michael J. Carey +5

In this paper, we present the case for a declarative foundation for data-intensive machine learning systems. Instead of creating a new system for each specific flavor of machine le…