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Reading Time: 3 minutesWhile cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). It was written by L. Delport. Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”….
Reading Time: 4 minutesMy previous post explained that, in my mind, the data lakehouse differs hardly at all from the traditional data warehouse architectural design pattern (ADP). It consists largely of the application of new cloud-based technology to the same requirements and constraints…
Reading Time: 4 minutes“Le roi est mort, vive le roi.” This phrase—the king is dead, long live the king—marks the transfer of power from one monarch to the next. In times of potentially troublesome change, the apparent paradox and inner poetry of these…
Reading Time: 3 minutesFirst we had data warehouses, then came data lakes, and now the new kid on the block is the data lakehouse. But what is a data lakehouse and why should we develop one? In a way, the name describes what…
Reading Time: 3 minutesThis is an age-old question, and one that has been asked many times over the years. As far back as 2011 Gartner proposed the concept of a logical data warehouse as a way to overcome some of the challenges organizations…
Reading Time: 5 minutesIn my previous post, I described the data fabric architectural pattern. Before turning to the data lakehouse, let’s first look at what I mean by an architectural pattern. The Power of a Pattern An architectural pattern, or logical architecture, describes…
