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Reading Time: 2 minutes We live in a world of accelerating change, disruption, and technological breakthroughs. Since 2020, we have endured a pandemic, economic and supply chain shocks, and increasing social and geopolitical tensions. And simultaneously, we have witnessed the rise of incredible technologies…
Reading Time: 6 minutes The emergence of Large Language Models (LLMs) and Generative AI marks a significant leap in technology, promising to deliver transformational automation and innovation across diverse industries and use cases. Having said that, as everyone races to develop next generation AI…
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: < 1 minute In this post, I’m going to cover logical data management and its impact on data mesh architectures. But there’s a lot of confusion in the marketplace today between different types of architectures, specifically data mesh and data fabric, so I’ll…
Reading Time: 3 minutes The Denodo Platform, which simplifies data management with real-time data access across myriad different data sources, can be flexibly installed on-premises or in the cloud, as a cloud-native implementation, to enable a wide range of use cases. Denodo has been…
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 During a recent house move I discovered an old notebook with metrics from when I was in the role of a Data Warehouse Project Manager and used to estimate data delivery projects. For the delivery a single data mart with…
Reading Time: 3 minutes The pandemic caused considerable disruption, but as a result, it also accelerated cloud adoption. As we moved towards remote working and switched to online customer interactions, it became clear that the cloud was more than just a “nice to have,”…
Reading Time: 3 minutes One of the most common trends in data strategy is moving to the cloud. More recently, we have been hearing companies say that they’re moving “everything” to the cloud. Unfortunately, this is easier said than done, because some data, or…
Reading Time: 4 minutes What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…
