The traditional databases are not capable of handling unstructured data and high volumes
of real-time datasets. Diverse datasets are unstructured lead to big data, and it is laborious …

Hybrid Transactional and Analytical Processing (HTAP) databases require processing
transactional and analytical queries in isolation to remove the interference between them. To …

People, devices, infrastructures and sensors can constantly communicate exchanging data
and generating new data that trace many of these exchanges. This leads to vast volumes of …

This work aims at reducing the main-memory footprint in high performance hybrid OLTP &
OLAP databases, while retaining high query performance and transactional throughput. For …

The threshold theorem is a seminal result in the field of quantum computing asserting that
arbitrarily long quantum computations can be performed on a faulty quantum computer …

This paper evaluates the suitability of Apache Arrow, Parquet, and ORC as formats for
subsumption in an analytical DBMS. We systematically identify and explore the high-level …

Big Data is currently a hot topic of research and development across several business areas
mainly due to recent innovations in information and communication technologies. One of the …

Columnar storage is a core component of a modern data analytics system. Although many
database management systems (DBMSs) have proprietary storage formats, most provide …

Modern database clusters entail two levels of networks: connecting CPUs and NUMA
regions inside a single server in the small and multiple servers in the large. The huge …

With the growing amount of data being continuously produced, it is crucial to come up with
solutions to expose data from ever more heterogeneous databases (eg NoSQL systems) as …