Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Over the last couple of decades, large multi-dimensional databases have become ubiquitous in a vast array of application areas, such as corporate data warehouses as well as projects in scientific ...

When we try to extract information from a stack of data, we need tools to help us find what’s relevant and what’s important and to explore different scenarios. A report, whether printed on paper or ...

Silicon Valley startup Kyvos Insights today emerged from stealth mode, trumpeting a new way for ordinary business users to conduct Big Data analytics. Adding a slight twist to the dozens of similar ...

Rasdaman datacube engine supporting efficient storage, querying, and analysis of large multi-dimensional Earth observation datasets across spatial, temporal, and parametric axes, providing a practical ...

Recent advances in OLAP query recommendations and user interaction are transforming the way data is explored and analysed. Traditional OLAP systems, long reliant on standard roll-up and drill-down ...