While estimating the result size of a group-by operation on a base table is hard on its own,
the presence of selections makes this problem increasingly difficult to solve. We show that …

Index tuning plays a crucial role in facilitating the efficiency of data retrieval within database
systems, which adjusts index settings to optimize the database performance. Recently, with …

Index selection is a crucial and essential aspect of database management systems (DBMS)
aiming to optimize performance, and it is also one of the most time-consuming and laborious …

The autonomous database of the next generation aims to apply the reinforcement learning
(RL) on tasks like query optimization and performance tuning with little or no human DBAs' …

Answering queries accurately at interactive speeds has become more challenging in
modern data systems due to the massive growth of data. Such challenges lead to an …

Semi-structured data is a common data format in many domains. It is characterized by a
hierarchical structure and a schema that is not fixed. Efficient and scalable processing of this …

Index tuning plays a crucial role in facilitating the efficiency of data retrieval within database
systems, which adjusts index settings to optimize the database performance. Recently, with …

This thesis contributes to the state of the art in analytical database systems. First, we identify
and explore extensions to better support analytics on event streams. Second, we propose a …

A database is used to store and retrieve data, which is a critical component for any software
application. Databases require configuration for efficiency, however, there are tens of …

Many scientific disciplines that make extensive use of spatial data, like weather, urban
planning and smart cities, deal with Big Spatial Data because, among other things, they …