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Reading Time: 3 minutesMost organizations are moving their IT systems to the cloud. In most cases, they are performing these migrations to increase the scalability of both processing and storage, and generally to free the organization from the limitations of on-premises systems. However,…
Reading Time: 3 minutesDuring 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: 4 minutesThe best technology acts without having to manage it, or worse, having to familiarize oneself with it more than it seems necessary. In some industrial sectors, this has already happened. We simply consume electricity, without being forced to know the…
Reading Time: 2 minutesThe world is becoming more and more digital, isn’t it? But do you wonder what the future of data strategy looks like? Data exploration and analysis can bring enormous value to a business. End consumers and institutions can both benefit…
Reading Time: 3 minutesThe pandemic has forever changed the way we live and do business. Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. To gain…
Reading Time: 3 minutesThe market for data lakes has recently seen an impressive wave of new-generation engines that provide highly efficient processing of very large data volumes stored in distributed file systems, like S3, ADLS and others. With low cost of storage in…
Reading Time: 5 minutesIn my previous post, I described the data fabric architectural pattern. Before turning to the data lakehouse, let’s first look at what I mean by an architectural pattern. The Power of a Pattern An architectural pattern, or logical architecture, describes…
Reading Time: 7 minutesIn the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data…
Reading Time: 5 minutesConsider a business scenario in which a user wants to determine the sales per month at a product level, and the filter conditions vary for different cases and across different users (So it would require multiple ad hoc queries). If…
Reading Time: 2 minutesAgile processes and automation are on the rise, causing companies to increasingly seek data virtualization solutions, which offer several important benefits: First, maintenance is cheaper compared to traditional tools, and data virtualization, which does not rely on data replication, eliminates…
