Recent efforts applying machine learning techniques to query optimization have shown few
practical gains due to substantive training overhead, inability to adapt to changes, and poor …

NoSQL systems have gained their popularity for many reasons, including the flexibility they
provide in organizing data, as they relax the rigidity provided by the relational model and by …

Database management systems (or DBMSs) have been around for decades, and yet are still
difficult to use, particularly when trying to identify and fix errors in user programs (or queries) …

Industrial as well as academic analytics systems are usually evaluated based on well-known
standard benchmarks, such as TPC-H or TPC-DS. These benchmarks test various …

An encrypted search algorithm (ESA) allows a user to encrypt its data while preserving the
ability to search over it. As all practical solutions leak some information, cryptanalysis plays …

Abstract Multi-model DBMSs (MMDBMSs) have been recently introduced to store and
seamlessly query heterogeneous data (structured, semi-structured, graph-based, etc.) in …

Multi-model DBMSs, which support different data models with a fully integrated backend,
have been shown to be beneficial to data warehouses and OLAP systems. Indeed, they can …

During exploratory statistical analysis, data scientists repeatedly compute statistics on data
sets to infer knowledge. Moreover, statistics form the building blocks of core machine …

Strings are prevalent in real-world data sets. They often occupy a large fraction of the data
and are slow to process. In this work, we present Fast Static Symbol Table (FSST), a …

Data too sensitive to be" open" for analysis and re-purposing typically remains" closed" as
proprietary information. This dichotomy undermines efforts to make algorithmic systems …