In this paper, we reflect on the state of the art of Approximate Query Processing. Although
much technical progress has been made in this area of research, we are yet to see its impact …

Analysts need interactive speed for exploratory analysis, but big data systems are often
slow. With sampling, data systems can produce approximate answers fast enough for …

Visual data exploration tools allow users to quickly gather insights from new datasets. As
dataset sizes continue to increase, though, new techniques will be necessary to maintain the …

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 …

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 …

Joins are expensive, and online aggregation is an effective approach to explore the tradeoff
between query efficiency and accuracy in a continuous, online fashion. However, the stateof …

In this paper, we study how to progressively answer a time-consuming query on a large data
set by generating a sequence of mini-queries. We formulate an optimization problem to …

When using data-mining tools to analyze big data, users often need tools to support the
understanding of individual data attributes and control the analysis progress. This requires …

Visual exploratory analysis of large-scale databases often relies on precomputed query
results in order to guarantee interactivity with the visualization system. This is especially true …

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 …