Category
Reading Time: 3 minutesNew York is one of the greatest tourist destinations in the world, but navigating your way through this vibrant city can be challenging. If you go there, one thing you cannot miss is the prevalence of Citi Bikes, which offer…
Reading Time: 3 minutes2018 is exactly thirty years since I published the first data warehouse architecture. The core concepts of the architecture remain strong and viable. However, the evolution of both business needs and technology solutions over the intervening decades has led to…
Reading Time: 6 minutesIn the previous article we reviewed the architectural elements of the virtual data lake, dug deeper into its technical implications. In this post, we will review the architectural elements of the virtual data lake, and will discuss why a virtual…
Reading Time: 3 minutesToday’s data economy depends on the data generated by people, and increasingly by the devices, appliances, and machines that make up the IoT. Data is enabling the granular targeting of people’s affinities, so people are expecting more personalized products. Although…
Reading Time: 3 minutesHaving advanced caching mechanisms is a key capability of an enterprise-class Data Virtualization platform. Cache in a data virtualization environment is used in different situations: Protect the data source from excessive loads or spikes of queries Avoid performing complex and/or…
Reading Time: 2 minutesCompanies cannot make fast, effective business decisions if each department has a slightly different view of customers, products, and other core entities. But gaining a single, unified view is especially challenging when companies engage in rapid evolution, and they introduce…
Reading Time: 3 minutesIn today’s world, the most important aspect of enhancing your consumer experience is understanding your customer—and the best way to understanding them is from their data. Master Data Management As consumers interact with your business, you capture data central to…
Reading Time: < 1 minuteBig data infrastructures, supported by effective new data science tools and the IoT, are making it possible to understand the actions and proclivities of customers at a highly granular level. This is inspiring organizations to modernize their data architectures, with…
Reading Time: 3 minutesThis blog was penned by guest blogger, Thibault Perier, Data Scientist from Astrakhan Innovation Management. A typical company manages many disparate data sources, representing volumes that are only growing larger over time (all whilst big data repositories expand in capacity…
Reading Time: 2 minutesWe make decisions every day: What am I going to wear? What am I going to have for dinner? Do I want dessert? Most of the time, we base our final decisions by weighing external factors: Is it cold outside?…
