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Reading Time: 6 minutes Across all vertical markets, organizations adopt data virtualization as a core part of their IT infrastructure because data is becoming more distributed, more heterogeneous, and larger in volume. The pressures on business to be more competitive are continually growing, so…
Reading Time: 4 minutes In many businesses today, data complexity is already a challenge with more and more data stores both on-premises and in the cloud as well as thousands of possible data sources. The days of just having a data warehouse and some…
Reading Time: 4 minutes Alice Well’s early successes as CIO at Advanced Banking Corporation (ABC) in solving the old problem of getting real-time data (Gaining Real Time Insight) to the call center and the newer opportunity presented by the data lake (A Warehouse in…
Reading Time: 4 minutes 2019 is the year of the data-driven organization. The more data an organization collects, the more insights they will have, right? Well no actually, it’s more about how you glean the insights from the data rather than how much data…
Reading Time: 2 minutes Change is sometimes difficult to embrace, especially when it involves downtime. Autodesk, makers of world-renowned 3D design, engineering, and entertainment software, wanted to change from perpetual licensing to subscription-based licensing, but knew that this change would likely impact the entire…
Reading Time: 3 minutes New 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: 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: 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: 6 minutes In 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: 4 minutes In the previous article we reviewed some of the pros and cons behind the data lake ideas, as well as the reasons why a logical architecture like the virtual data lake addresses some of those issues. In this section, we…
