Data visualization is the presentation of data in a pictorial or graphical format, and a data
visualization tool is the software that generates this presentation. Data visualization provides …

In this survey, we discuss the challenges of executing scientific workflows as well as existing
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …

To leverage modern hardware platforms to their fullest, more and more database systems
embrace compilation of query plans to native code. In the research community, there is an …

Exploratory big data applications often run on raw unstructured or semi-structured data
formats, such as JSON files or text logs. These applications can spend 80--90% of their …

Industry and academia are continuously becoming more data-driven and data-intensive,
relying on the analysis of a wide variety of heterogeneous datasets to gain insights. The …

Modern database engines balance the demanding requirements of mixed, hybrid
transactional and analytical processing (HTAP) workloads by relying on i) global shared …

As the volume of data has grown exponentially, what this means for organisations are
significant opportunities and challenges. Three significant challenges face traditional data …

Scan and lookup are two core operations in main memory column stores. A scan operation
scans a column and returns a result bit vector that indicates which records satisfy a filter …

As the size of data and its heterogeneity increase, traditional database system architecture
becomes an obstacle to data analysis. Integrating and ingesting (loading) data into …

The constant flux of data and queries alike has been pushing the boundaries of data
analysis systems. The increasing size of raw data files has made data loading an expensive …