Search Results
Reading Time: 3 minutes As any data leader will tell you, it is impossible to derive any value from data unless it is accessible and reliable, regardless of where the data resides. Unfortunately, organizations are far from achieving this goal, because their data is…
Reading Time: 2 minutes In today’s increasingly fractured data environment, data is dispersed across multiple on-premise and cloud environments. In such scenarios, it is unreasonable to believe that all of an organization’s data will be stored in a single repository. With this now being…
Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key…
Reading Time: 4 minutes An organization’s data consists of an extensive network of spreadsheets, databases, graphs, and charts. However, such resources are just the connecting dots in a vast data ecosystem. Before we look at how modern data ecosystems can drive business value, let’s…
Reading Time: 3 minutes We are naturally inclined to think that our relationship with data develops solely in the world > data > use direction, in which data captures what happens in the world, and we use data to understand events in the world…
Reading Time: 3 minutes One of the biggest challenges for organizations is to integrate data from various sources. Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from…
Reading Time: 3 minutes While 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 minutes My 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: 5 minutes Today, many applications call themselves “data catalogs.” The idea seems, on the face of it, easy to understand: a data catalog is simply a centralized inventory of the data assets within an organization. Data catalogs also seek to be the…
Reading Time: 3 minutes Many businesses are moving towards a cloud-based approach in terms of managing their data, but that doesn’t mean that incorporating the cloud into businesses is an easy process. Also, after moving to a cloud-based environment, many organizations realize that their…
