Open-source distributed OLAP database and powerful SaaS counterpart shine with plug-in indexes, signature tunable star-tree ...

High-speed analysis can be accomplished by extracting the relational data into a multidimensional format called an OLAP cube; by loading the data to be analyzed into memory; by storing the data in ...

New applications, such as agricultural reports, are emerging. Cubes used for OLAP allow fast data analysis by defining dimensions that define the problem being analysed. It might, for example, consist ...

Business intelligence is essentially a set of best practices for building models to answer business questions. However, today’s BI best practices may be suboptimal for many enterprises ...

Data from OLTP systems is aggregated and analyzed by online analytical processing (OLAP). OLAP cubes are multidimensional databases that are ideal for applications like data warehouses and online ...

Multi-dimensional OLAP, actually persistent data structures and access protocols, mostly on disk, but a few hybrid arrangements where the “cubes” were both physical and virtual or transient in memory.

"Kyvos is a solution which brings a new model of online analytical processing (OLAP) to Big Data that allows users to visually create and analyze 'cubes on Hadoop,' " the company said in a news ...

And unlike "old school" OLAP, which requires such aggregations ... one customer has already migrated over 100TB of data to a single Kyligence cube and that another ported some 1200 IBM Cognos ...

The ‘traditional’ OLAP engine follows a simple paradigm: connect to the data source(s), extract the appropriate data, run through a builder process to create a cube, provide access to the cube.

Octopai, a provider of metadata management automation for BI and analytics, is expanding support of OLAP cubes to enable organizations to understand their complete data flow. This move enriches and ...