While numerous indexing and storage schemes have been developed to address the core
functionality of predicate evaluation in data systems, they all require specific workload …

Key-value data structures constitute the core of any datadriven system. They provide the
means to store, search, and modify data residing at various levels of the storage and …

Abstract The Resource Description Framework (RDF) data model enables the construction
of knowledge graphs over various domains, using ontologies in order to encode information …

In modern analytical database systems, the performance of the data scan operation is of key
importance to the performance of query execution. Existing approaches may be categorized …

The increasing interest in social networks, knowledge graphs, protein-interaction, and many
other types of networks has raised the question how users can explore such large and …

Many important query processing methods proactively use semijoins or semijoin-like filters
to delete dangling tuples, ie, tuples that do not appear in the final query result. Semijoin …

Data systems with adaptive storage can autonomously change their behavior by altering
how data is stored and accessed. Such systems have been studied primarily for the case of …

The increasing demand for the simultaneous transaction and review of the data for either
decision making or forecasting has created a need for faster and better Hybrid …

For data analysis, it's useful to explore the data set with a sequence of queries, frequently
using the results from the previous queries to shape the next queries. Thus, data used in the …

Anyone in need of a data system today is confronted with numerous complex options in
terms of system architectures, such as traditional relational databases, NoSQL and NewSQL …