Queries over large scale (petabyte) data bases often mean waiting overnight for a result to
come back. Scale costs time. Such time also means that potential avenues of exploration are …

Proceedings of the 31st ACM SIGMOD-SIGACT-SIGAI symposium on Principles of Database
Systems: What next?: a half-dozen data manag Page 1 What Next? A Half-Dozen Data …

Abstract Linked Stream Data has emerged as an effort to represent dynamic, time-
dependent data streams following the principles of Linked Data. Given the increasing …

Cloud-based data management systems are emerging as scalable, fault-tolerant, and
efficient solutions to manage large volumes of data with cost effective infrastructures, and …

Abstract Many Geographic Information Systems (GIS) handle a large volume of geospatial
data. Spatial joins over two or more geospatial datasets are very common operations in GIS …

Online aggregation is a commonly-used technique to response aggregation queries with the
refined approximate answers (within an estimated confidence interval) quickly. However, we …

Data integration used to be offline, but real-time data integration has become more and
more important. Research into stream databases can be naturally applied to near-realtime …

Online aggregation in the cloud makes it possible to save cost by taking acceptable
approximate early answers. There are critical requirements to support online aggregation in …

Zusammenfassung Die Strukturierung und Nutzung von unternehmensinternen IT-
Infrastrukturen auf Grundlage dienstorientierter Architekturen (engl. service-oriented …

A wide class of data analytics operations can be modeled as classical database join
operations. In the current era of data deluge, the explosion in data sizes has led to the …