Guest article by Martin Rennhackkamp

In order to cater for the demands of a modern data-centric and analytics-driven organisation, one needs a more extensive ecosystem for analytics than what a traditional simple “data source – ETL – data warehouse – dashboard” environment can cater for.  This is especially relevant considering the more complex data types and structures and the more dynamic data flows that have to be supported. The trend now is to utilise a modern analytics platform.

So what constitutes a modern analytics platform? In a previous post I discussed how a modern analytics platform is utilised throughout the analytics lifecycle. However, in order to enable quite a wide set of users, with quite varying skill sets, to perform those steps, the modern analytics platform needs to contain a substantial set of interfacing, enabling and foundational capabilities. In this post I look under the hood at the technical components that make up a modern analytics platform. I conclude with an example of a modern analytics platform that is commercially available.

On a very high level, the modern analytics platform has a number of user interface capabilities, underlying enabling technologies, different types of data storage areas, and very importantly, an integrated metadata management capability. Let us look at these in more detail…..

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