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Reading Time: 3 minutes IT excels in copying data. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a…
Reading Time: 2 minutes Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data architectures is the…
Reading Time: 3 minutes Organizations are rethinking their current data architectures. Unfortunately, the majority considers it a challenge. Obviously, one of the reasons is that they don’t do this every day. Also, insights about how to design them has changed over time. This article…
Reading Time: 2 minutes Too often the design of new data architectures is based on old principles: they are still very data-store-centric. They consist of many physical data stores in which data is stored repeatedly and redundantly. Over time, new types of data stores,…
Reading Time: 2 minutes The concepts of logical data warehouse and logical data lake are getting traction. Organizations are starting to understand that these forms of data warehouses and data lakes are more practical and flexible than their more traditional physical counterparts. The technology…
Reading Time: 2 minutes In the realm of logical architectures and data virtualization, one question consistently arises: Can these architectures deliver the performance required for complex analytics scenarios? Today, we’ll explore the answer to this pressing question and dive into the game-changing integration of…
Reading Time: 5 minutes If you check the reference logical architectures for big data analytics proposed by Forrester and Gartner, or ask your colleagues building big data analytics platforms for their companies (typically under the ‘enterprise data lake’ tag), they will all tell you…
Reading Time: 3 minutes Recently, I was fortunate enough to get some time with the CIO of a mid-sized financial services company. When I asked him what his most pressing priority was for 2024, he answered, “taming the data storm.” CIOs are no longer viewed…
Reading Time: 2 minutes Data mesh is a modern, distributed data architecture in which different domain based data products are owned by different groups within an organization. And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve…
Reading Time: 3 minutes More and more companies are managing messages and events in real time using tools like Apache Kafka. Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential. It can benefit the management of microservices,…
