Before the era of big data, there was the era of business intelligence (BI). It was based on many of the same tenets, but focused more on formal data models and analysis of data at a summarized level.

In the fog of the Big Data era, OLAP (On-line Analytical Processing) gets little mention from the press or the industry analysts. The reality is, OLAP is quite vital today for a simple reason: most ...

Using data driven insights to improve the decision-making process has been one of the biggest trends in the mining industry over the past few years and it will continue to be a strategic priority for ...

Multidimensional analysis, or the use of pre-computed OLAP cubes, used to be a primary method for quickly obtaining useful information from reams of data, but has largely fallen out of favor in the ...

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 ...

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

Companies that need to analyze large amounts of data have many options available to them these days. One option they may want to be aware of is Kyligence, which develops a distributed OLAP query ...

Business intelligence software has been around for years. Many big-data analytics tools have the goal of providing actionable business insight. But data silos, vast data lakes, and the tricky ...