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 ...

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

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 ...

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.

Oracle has introduced Oracle Business Intelligence 11g. 'The new release allows customers to integrate relational and OLAP analysis across a multitude of different federated data sources and presents ...

I have a .NET application (in C#) that does some stuff and in particular loads data into a SQL Server 2005 database (into tables).I'd like to automate the building of an OLAP cube based on that ...