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Reading Time: 3 minutes In this article, I will discuss the complexity of data migration when transitioning to a new system, based on the traditional ways of working. I will explain why data virtualization can play a role in taking away this complexity, for…
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: 2 minutes The concept of big data is funny to me. It is funny because there isn’t any small data when it comes to large corporations. 99% of the companies we work with have big data and it is getting bigger. Companies’…
Reading Time: 3 minutes 2018 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: 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: 3 minutes Having 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 minutes No one likes to wait for IT to deliver reports that are critical for analysis. And certainly, no analyst can afford to wait while emails are sent back and forth, just so they can get the data they need. Unfortunately,…
Reading Time: 2 minutes The concepts of logical data warehouse and logical data lake are getting traction. Organizations are starting to understand that these forms of data warehouses and data lakes are more practical and flexible than their more traditional physical counterparts. The technology…
Reading Time: 3 minutes We live in the world of data, which is “ahem” a few zettabytes of nuggets floating around us constantly with growth every second. This data flow has increased our appetite for accessing information whether it is connected or not connected…
Reading Time: 6 minutes The amount of data a company can manage these days is huge, but making use of these data for analytics and decision-making can be hard and expensive using traditional approaches.Traditional architectures like data warehouses and data lakes rely on storing…
