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Reading Time: 4 minutes In my first post in the Energy Utilities Series, I covered the industry’s major challenges, and in this post, I’ll focus on the first challenge, decarbonization, while also exploring a few significant opportunities. Decarbonization is the process of transitioning from…
Reading Time: 6 minutes Organizations today have an opportunity that’s too good not to seize. If they could access the full wealth of their data that is distributed across cloud and on-premises systems, they could leverage enterprise data to achieve several compelling benefits. These…
Reading Time: < 1 minute Banks are subject to numerous regulations that are designed to protect customers and ensure the stability of the financial system. Compliance with these regulations is essential, not only to avoid fines and legal penalties, but also to maintain the trust…
Reading Time: 2 minutes In today’s rapidly evolving financial landscape, it is more important than ever for financial institutions to stay ahead of the curve and offer tailored products and services that meet the unique needs of their customers. A significant inhibitor is the…
Reading Time: 4 minutes Some say that data is the new “black gold,” but I believe that just like crude oil, data has little value until you extract it, refine it, and put it to use. In this post, I will share some of…
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 Today, 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: 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: 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”….
