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Some days I get really flexed out of shape about the rate at which new terms become spontaneously combusted in the BI and analytics industry. The latest I came across is the term “elastic data warehouse.” So what are we doing here – bending the rules, stretching the imagination or flexing our muscles here? Now …
In previous posts I covered the data lake, approaches to “building” the lake and the data lake’s relationship with the traditional data warehouse. However as rosy as all that may seem, there are some people quite opposed to using the data lake as an all-encompassing free-for-all at-scale staging area. To an extent, I tend to …
In a previous post I gave a high level description and overview of the data lake. Informally speaking, from a BI point of view, a data lake is a large scaled-out all-encompassing free-for-all unstructured data staging area. In this post I take the discussion further to investigate whether it replaces or interacts with the data …
My mini-series on big data would be incomplete without a discussion on data lakes. The data lake is emerging as a popular concept to address big data challenges, especially in the context of big data analytics and the integration of big data into the BI ecosystem. Vendors tote the data lake as the new approach to …
