Abstract
We present BrackitMR, a framework that executes XQuery programs over distributed data using MapReduce. The main goal is to provide flexible MapReduce-based data processing with minimal performance penalties. Based on the Brackit query engine, a generic query compilation and optimization infrastructure, our system allows for a transparent integration of multiple data sources, such as XML, JSON, and CSV files, as well as relational databases, NoSQL stores, and lower-level record APIs such as BerkeleyDB. © 2013 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Sauer, C., Bächle, S., & Härder, T. (2013). BrackitMR: Flexible XQuery processing in MapReduce. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7923 LNCS, pp. 806–808). Springer Verlag. https://doi.org/10.1007/978-3-642-38562-9_85
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
