A set of generic strategies and rules to design a strong, cost-efficient, and scalable knowledge mannequin in your post-modern knowledge stack.
Over the previous few years, because the Trendy Knowledge Stack (MDS) launched new patterns and requirements for transferring, reworking, and interacting with knowledge, dimensional knowledge modeling progressively grew to become a relic of the previous. As a replacement, knowledge groups relied on One-Huge-Tables (OBT) and stacking layer upon layer of dbt fashions to deal with new use circumstances. Nevertheless, these approaches led to unlucky conditions by which knowledge groups grew to become a value heart with unscalable processes. So, as we enter a “post-modern” knowledge stack period, outlined by the pursuit to cut back prices, tidy up knowledge platforms, and restrict mannequin sprawl, knowledge modeling is witnessing a resurrection.
This transition places knowledge groups in entrance of a dilemma: ought to we revert again to strict knowledge modeling approaches that have been outlined a long time in the past for a totally totally different knowledge ecosystem, or can we introduce new rules which can be outlined primarily based on immediately’s know-how and enterprise issues?
I consider that, for many firms, the precise reply lies someplace within the center. On this article, I’ll talk about a set of information modeling requirements to maneuver away from…
