In simple terms, you can describe a data warehouse as a water tank set up to meet the specific clean water (data and analysis) needs of one particular household.

Lack of consistency: Companies may often find it difficult to keep their data lake and data warehouse architecture consistent. It is not just a costly affair, but teams also need to employ ...

A leader who is making progress on these issues is Ujjawal Nayak, whose achievements in cloud and data lake projects led to ...

To shed light on the adoption and maturity of trending data architectures and where the industry is headed, Unisphere Research, a division of Information Today, partnered with Radiant Advisors to ...