The way to handle the shortcomings of shallow, outdated fashions and future-proof your modeling technique
21 hours in the past
I’ve been concerned in modeling knowledge for over 30 years, creating a wide range of knowledge fashions (3NF, dimensional, ensemble (anchor, data-vault), graphs, and so on.) primarily for analytical techniques. Nevertheless, many of those have additionally progressively develop into outdated or out of date. Generally it feels just like the work of the unlucky Sisyphus who persistently rolls his boulder up the hill, solely to grasp sooner or later that it was in useless once more.
For a really very long time, I used to be satisfied that it should be doable to centrally mannequin a standard and full view of enterprise issues for a corporation. In any case, long-time enterprise individuals who have been concerned within the modeling course of know what’s happening within the firm, proper? Effectively, the smaller the corporate was, the nearer I reached the aim. However to be utterly trustworthy, ultimately, every mannequin remained simply an approximation — a static view that attempted to mirror the always altering actuality.
However even whether it is fairly laborious to create such a mannequin, we completely can’t be profitable with out it. The fashionable data-driven enterprise is predicated on the core thought of deriving worth from knowledge. Nevertheless, the actual fact is that knowledge has no worth in and of itself. We have to use…
