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Reading Time: 2 minutesToday, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations. Unfortunately, with data spread…
Reading Time: 4 minutesAn 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 minutesWe 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 minutesOne 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: 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 minutesThe amount of expanding volume and variety of data originating from various sources are a massive challenge for businesses. In attempts to overcome their big data challenges, organizations are exploring data lakes as repositories where huge volumes and varieties of…
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 minutesAt the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals. Here, as…
Reading Time: 2 minutesA recent post, on the cost and impact of persisted data, got me thinking: If data is the new oil, as some believe, then data virtualization is akin to the electrification of gas/petrol-powered cars. An Inconvenient Truth Cloud migration strategies,…
Reading Time: 3 minutesOver the years, there has been a significant increase in regulations, specifically in the financial services industry, to curb the illicit activities that aid corruption, money laundering, and sanctions-busting. These regulations have particularly increased in the aftermath of the 2008…
