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Reading Time: 3 minutes With 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 minutes According 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 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: 7 minutes Data are the eyes with which we look at reality. They are the means – not the only one – with which every company can aspire to have full awareness of itself and of the context in which it operates…
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: 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: 3 minutes Organizations are challenged by a complex mix of data sources, so they struggle to harness trusted, actionable insights in a timely manner. To more effectively keep up with business expectations, they need a nimble technology like data virtualization, which enables…
Reading Time: 3 minutes The recently published The Forrester Wave™: Big Data Fabric, Q2 2018 highlights the need for an integrated infrastructure – the ‘fabric’ – to support your big data. In the headlong rush to create data lakes and other big data architectures, organizations…
Reading Time: 2 minutes The current data-volume explosion can be traced back to a time when our society began to focus more on customers as individuals. We see ourselves as independent, unique people with free will, not bound by social conformity. Catering to that…
Reading Time: < 1 minute Big 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…
