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Data mesh is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. Following you will find some blogs about this the data mesh architecture:
Reading Time: 3 minutes Digitization has been a boon for financial services, bringing the industry into a new age. However, it has also brought massive and growing data volumes that can be either a goldmine or an indecipherable pool, depending on each organization’s ability…
Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology. Innovative new technologies are redefining the sector, shaping the services that financial organizations offer, the ways in which they interact with consumers, and the ways in which they apply…
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: 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 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: 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 minutes At 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: 6 minutes Data Governance as a concept and practice has been around for as long as data management has been around. It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be…
Reading Time: 3 minutes Insurers are constantly challenged with compliance requirements changes, most of which heavily rely on excellent data management. It is crucial for insurers to examine their current data management practices with a critical eye and assess if they are setup to…
