Preventing cloud data warehouse failure is possible through proper integration. Utilizing your data is key to success. That message is echoed by every business and technology pundit working today, every C-level executive, every Board member – and even every article like this one. The importance of using data to make

Data professionals have long debated the merits of the data lake versus the data warehouse. But this debate has become increasingly intense in recent times with the prevalence of data and analytics workloads in the cloud, the growing frustration with the brittleness of Hadoop, and hype around a new architectural

When you mention “data warehouse” to someone not acquainted with the term, the first image that springs to their minds is usually something like the one above. When in fact, it actually looks a little more like this: A data warehouse is, on the highest level, a central repository of data.

In part one of our History of BI series, we looked at the origins of BI, the way it developed over the 1960’s and 70’s, and the key technologies that emerged within these era’s. The article began by mapping the way data storage changed from hierarchical database management systems (DBMS), like