Tag
Reading Time: 6 minutes Organizations today have an opportunity that’s too good not to seize. If they could access the full wealth of their data that is distributed across cloud and on-premises systems, they could leverage enterprise data to achieve several compelling benefits. These…
Reading Time: 2 minutes In the software world, we constantly represent real phenomena in abstract terms, and this is no exception in the world of data storage. We say that data storage, like matter, adheres to the Law of Increments, which states that, according…
Reading Time: 6 minutes Organizations today need a data architecture that can overcome a double challenge: satisfy new business needs that require more agility and self-service capabilities, while at the same time dealing with a growing, diverse, and fast-moving data ecosystem (new data sources,…
Reading Time: 5 minutes In the previous article we reviewed the architectural elements of the virtual data lake, and will discuss why a virtual data lake can play a key role for the data scientist. In this post, we will review why it plays…
Reading Time: 4 minutes Believe it or not we are now over 25 years into building data warehouses and many companies around the world have very well-established systems supporting query, reporting and analysis of historical master and transaction data that has been captured from…
Reading Time: 7 minutes When using Data Virtualization as your Enterprise data layer there are certain security aspects that need to be taken into account so the access to the virtual views and the connected data sources is secured. This post will describe the…
Reading Time: 6 minutes When creating an enterprise data layer using data virtualization some of the questions that usually came up are, what are the options for metadata management and how to provide data governance now that everything is accessed from a new unified…
