Abstract :
Data-intensive applications are calling for (1) significant performance improvement in data processing, and (2) lowered entries for domain expertise to create higher value. Pursuing a database approach to the challenges, the paper presents an automated database extension mechanism, which allows one to seamlessly program application level workflows, and computations to be pushed down to (heterogeneous) database systems, in one programming language. We thus greatly ease the job of implementing scalable data intensive computations, with multiple databases as the computation platform.
Keywords :
distributed databases; distributed programming; programming languages; automated database extension mechanism; data processing; heterogeneous database system; program application level workflows; programming language; scalable data intensive computation; unified database programming; Computer languages; Database systems; Distributed computing; Functional programming; Java; Logic programming; Object oriented databases; Object oriented programming; Relational databases; Spatial databases;
