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.

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 ...

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 ...

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’ ...

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 ...

Pablo will ship with A La Carte, a solution that will add a host of new rich features to Microsoft Excel and allow users to adopt the widespread product as their standard business intelligence (BI) ...

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 ...

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 ...