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.

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 ...

Overall, Kyvos helps enterprises remove the complexities of Hadoop and deal with data at any scale and granularity with instantaneous response times and an interactive experience. Its “cubes on Hadoop ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...