The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to ...

OLAP servers organize data into multidimensional hierarchies, called cubes, for high-speed data analysis. Data mining algorithms scan databases to uncover relationships or patterns.

Twenty years ago, online analytical processing (OLAP) was the center of many enterprise data warehouse (EDW) initiatives. The technology, which is largely synonymous with the term “multi-dimensional ...

With virtual cubes, the changes are instantaneous and are ready for analysis in real-time. My take One final thought about the need for OLAP: all of the data science in the world can’t match the ...

New version 4 of the BI + big data platform is based on Spark and Parquet, leverages machine learning and is optimized for cloud storage. It's available on the Azure Marketplace now and coming to ...

But data cubes aren’t restricted to just three dimensions. Most online analytical processing (OLAP) systems can build data cubes with many more dimensions—Microsoft SQL Server 2000 Analysis ...

Pitram's OLAP Analysis module provides users with the necessary tools to perform multidimensional analysis of operational mining data.

OLAP: Online Analytical Processing systems designed for real-time, multidimensional data analysis. Enhanced Cube: A multidimensional data structure augmented with analytical model insights to ...

Conversely, OLAP solutions suffer from having to constantly rebuild or add on to the existing cube (s) to remain current. Most cubes contain far more data than the users ever look at.