In April 2016, a community of researchers working in the area of Principles of Data
Management (PDM) joined in a workshop at the Dagstuhl Castle in Germany. The workshop …

There is an increasing demand to visualize large datasets as human observable reports in
order to quickly draw insights and gain timely awareness from the data. An interactive user …

In-situ processing has been proposed as a novel data exploration solution in many domains
generating massive amounts of raw data, eg, astronomy, since it provides immediate SQL …

Hash Ripple join is an online aggregation algorithm that can rapidly give good approximate
join results increases with the progress of the join operation and converges to the real result …

With the advent of emerging technologies and the Internet of Things, the importance of
online data analytics has become more pronounced. Businesses and companies are …

Today, most modern online services make use of big data analytics systems to extract useful
information from the raw digital data. The data normally arrives as a continuous data stream …

Approximate similarity queries are a practical way to obtain good, yet suboptimal, results
from large data sets without having to pay high execution costs. In this paper we analyze the …

There is a rich history in the DBMS research literature involving sampling to estimate the
results of queries faster than they can be computed exactly. A particularly interesting …

Online aggregation is a commonly used technology to return approximate query results over
random samples, which provides a fast way for users to obtain a trade-off between time and …

One of the primary challenges in graphical models is inference, or re-constructing a
marginal probability from the graphical model's factorized representation. While tractable for …