Moving data analysis and processing to the cloud is no longer reserved for a few companies
with petabytes of data. Instead, the flexibility of on-demand resources is attracting an …

The new generation of information technology is exchanging a huge data and these data
should be process for analytical and visualization purposes. In most of our daily activities we …

The increasing popularity of NoSQL systems has lead to the model of polyglot persistence,
in which several data management systems with different data models are used. Data lakes …

Due to the increasing variety of the current database landscape, polyglot data management
has become a hot research topic in recent years. The underlying idea is to combine the …

Increasing data volumes have extensively increased application possibilities. However,
accessing this data in an ad hoc manner remains an unsolved problem due to the diversity …

Cloud providers are more and more confronted with very diverse and heterogeneous
requirements their customers impose on the management of data. First, these requirements …

Every database engine runs on top of an operating system in the host, strictly separated with
the storage. This more-than-half-century-old IHDE (In-Host-Database-Engine) architecture …

The last years have seen a vast diversification on the database market. In contrast to the
“one-size-fits-all” paradigm according to which systems have been designed in the past …

There has been a growing interest in cross-source searching to gain rich knowledge in
recent years. A data lake collects massive raw and heterogeneous data with different data …

The goal of this thesis is to introduce a new design for building federated query optimizers,
based on machine learning. We propose a modular and flexible architecture, allowing a …