Data visualization is by far the most commonly used mechanism to explore data, especially
by novice data analysts and data scientists. And yet, current visual analytics tools are rather …

Hosting database services on cloud systems has become a common practice. This has led
to the increasing volume of database workloads, which provides the opportunity for pattern …

Key-value data structures constitute the core of any datadriven system. They provide the
means to store, search, and modify data residing at various levels of the storage and …

Data exploration and analysis, especially for non-programmers, remains a tedious and
frustrating process of trial-and-error—data scientists spend many hours poring through …

The processing model of state-of-the-art stream processing engines is designed to execute
long-running queries one at a time. However, with the advance of cloud technologies and …

Techniques based on sharing data and computation among queries have been an active
research topic in database systems. While work in this area developed algorithms and …

Sharing data and computation among concurrent queries has been an active research topic
in database systems. While work in this area developed algorithms and systems that are …

Query execution techniques constantly adapt to novel hardware features to achieve high
query performance, in particular for analytical queries. In recent years, vectorization based …

While work in Techniques based on sharing data and computation among queries
developed algorithms and systems that are shown to be effective, there is a lack of logical …

An elastic and highly available data store is a key component of many cloud applications.
Existing data stores with strong consistency guarantees are designed and optimized for …