At Berkeley, we are develo** TelegraphCQ [1, 2], a dataflow system for processing
continuous queries over data streams. TelegraphCQ is based on a novel, highly-adaptive …

• Bases de datos relacionales (Capítulos 4 al 7). El Capítulo 4 se centra en el lenguaje
relacional orientado al usuario de mayor influencia: SQL. El Capítulo 5 cubre otros dos …

Business Intelligence (BI) refers to technologies, tools, and practices for collecting,
integrating, analyzing, and presenting large volumes of information to enable better decision …

Traditional database systems are built around the query-at-a-time model. This approach
tries to optimize performance in a best-effort way. Unfortunately, best effort is not good …

Relational DBMS typically execute concurrent queries independently by invoking a set of
operator instances for each query. To exploit common data retrievals and computation in …

This paper revisits the classical problem of multi-query optimization in the context of
RDF/SPARQL. We show that the techniques developed for relational and semi-structured …

We study the problem of optimizing one-time and continuous subgraph queries using the
new worst-case optimal join plans. Worst-case optimal plans evaluate queries by matching …

Inductive Logic Programming (ILP) is a classic machine learning technique that learns first-
order rules from relational-structured data. However, to-date most ILP systems can only be …

This paper analyzes the performance of concurrent (index) scan operations in both record
(NSM/PAX) and column (DSM) disk storage models and shows that existing scheduling …

The D-Wave adiabatic quantum annealer solves hard combinatorial optimization problems
leveraging quantum physics. The newest version features over 1000 qubits and was …