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Reading Time: 3 minutesWith data becoming the brain food to the intelligence of every organization, regardless of size or sector, it has become crucial to harness this data to achieve the best results, make the most informed decisions and improve productivity. However, with…
Reading Time: 3 minutesAccording to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific…
Reading Time: 3 minutesBusinesses are drowning in data, making it difficult to maintain consistency, identify “good” data, or derive valuable insights from it. To stay innovative, businesses have been implementing multi-cloud infrastructures, many of which also incorporate on-premises systems. However, when data is…
Reading Time: 4 minutes2019 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: 3 minutesIn 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: 2 minutesMergers and acquisitions are a fact of life, and they often take a toll on everyday business; people, real estate, processes, and systems need to be properly integrated before the acquiring company and the acquired company can act as one….
Reading Time: 3 minutesSome still see data virtualization as an alternative technology to ETL. For them it’s nothing more than another style of data integration. However, data virtualization is much more. Data virtualization is about abstraction. It’s about data consumers being decoupled from…
Reading Time: 5 minutesIn 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 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 minutesPublic clouds and on-premises data centers can now be strategically connected via a strong hybrid architecture, simplifying data integration. If you are in the process of building a virtual data services layer across all of your disparate data sources in…
