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Reading Time: 4 minutesThe awareness of what we know is not just a nice-to-have, but the very essence of knowledge itself. Knowledge does not exist by acts of faith; it requires transparency, trust, and communicability. “Knowing something” means knowing the entire path that…
Reading Time: 4 minutesThese days, artificial intelligence (AI) and machine learning (ML) seem to be everywhere around us, answering questions, designing components, and even driving cars. Can they also help with data virtualization? For sure. But first, let’s make sure that when we…
Reading Time: 3 minutesPlastics Between Challenge and Opportunity K 2019, which took place end of October this year in Dusseldorf, is a gigantic trade fair for the plastics industry. If you were a data anthropologist, you would not merely visit to smell the…
Reading Time: 3 minutesEverything changes so fast, knowing how to adapt is no longer an option but a necessity. Companies now operate in a market that not only moves at an impressive speed, but also changes shape with the same speed. These changes…
Reading Time: 3 minutesIn all of my conversations about data, the same words and phrases keep coming up – agility, performance, security, governance, the heterogeneity of data sources (data silos), and ease of access, just to name a few. I use them so…
Reading Time: 2 minutesIf telecommunications subscribers are not happy with their providers, they can easily switch. This is why keeping customers happy is more than a top priority for providers; it is the difference between success and failure. Get is a Norwegian telecommunications…
Reading Time: 2 minutesPeople looking to purchase licensed music, and music authors looking to sell their music, both require a trusted intermediary to bring them together. We provide that critical function in Germany. GEMA (In English, the acronym stands for the Society for…
Reading Time: 2 minutesThe current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. are found coexisting with relational databases to fuel the…
Reading Time: 3 minutesSome still think it makes sense to compare ETL tools with data virtualization servers. Let me be clear, it really doesn’t. Unquestionably, both tool categories belong to the class of data integration tools, like data replication tools, data wrangling tools,…
Reading Time: 4 minutesA deliberately rhetorical question, given that my position in this regard is that of a firm and convinced yes, recognizing in data virtualization the ideal place to realize the syntactic transformation, semantically invariant, which allows sharing and disseminating the company’s…
