Data warehouses are highly structured storage systems keeping only filtered business and operational system data for a specific purpose. For example, you may want to use a low-code platform to create and iterate on a dashboard or a front-end visualization for a mobile front-end linked to your cloud-native applications. Once the data has been collected both internally and externally, the question remains how to store it appropriately. They integrate intelligence in familiar places. All of them have different characteristics and serve different purposes.
2018 has less than a quarter of an inch.
( z0 have :ARG0 ( z1 date-entity :year 2018 ) :ARG1 ( z2 less-than :op ( z3 distance-quantity :quant 0.25 :unit ( z4 inch ) ) ) )
(z0 / have-03
    :ARG0 (z1 / date-entity
              :year 2018)
    :ARG1 (z2 / less-than
              :op1 (z3 / distance-quantity
                       :quant 0.25
                       :unit (z4 / inch))))
2018 has less than a quarter of an inch .
z1 :year 1
z0 :ARG0 z1
z0 :ARG1 z2
z3 :quant 0
z2 :op1 z3
z3 :unit z4