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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: 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: 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: 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…
Reading Time: 5 minutes In this post, I will introduce the idea of the logical data lake, a logical architecture in which a physical data lake augments its capabilities by working in tandem with a virtual layer. In subsequent posts in this series, I’ll…
Reading Time: 3 minutes Many organizations today have either already created or are in the process of creating a data lake. There are of course multiple configurations of a data lake including: A centralized data lake typically on a single data store such as…
Reading Time: 2 minutes I was surfing the Tableau website and recently spotted a testimonial on their partner pages stating “Tableau Partners are an extension of our team, enabling people all over the world to achieve better insights from their data.” Working in the…
Reading Time: 3 minutes The strength of Hadoop and NoSQL systems in supporting big data systems is indisputable. These big data technologies are designed, built, and optimized specifically for large-scale and high-performance environments. Their support for massively parallel hardware architectures and cheap commodity hardware…
Reading Time: 2 minutes We have entered an almost unprecedented era where data threatens to overwhelm us. We need efficient data management, but it all comes down to this: Without a way to simplify our consumption of this onslaught of data, businesses are in…
