51 citations · 110 across the 6 of their papers we have counts for
6 papers
Apache VXQuery: A Scalable XQuery Implementation
E. Preston Carman, Till Westmann, Vinayak R. Borkar +2
The wide use of XML for document management and data exchange has created the need to query large repositories of XML data. To efficiently query such large data collections and tak…
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…
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…
Revisiting Aggregation for Data Intensive Applications: A Performance Study
Jian Wen, Vinayak R. Borkar, Michael J. Carey +1
Aggregation has been an important operation since the early days of relational databases. Today's Big Data applications bring further challenges when processing aggregation queries…
Iterative MapReduce for Large Scale Machine Learning
Joshua Rosen, Neoklis Polyzotis, Vinayak Borkar +5
Large datasets ("Big Data") are becoming ubiquitous because the potential value in deriving insights from data, across a wide range of business and scientific applications, is incr…
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…