At the same time, we need to keep the response time down to seconds, which requires scalability. Data warehouses are highly structured storage systems keeping only filtered business and operational system data for a specific purpose. In other cases, solutions that work well for batches may not work for real-time data streaming needs. All the time they change! They operate as storage for data not yet allocated to a specific function.
Besides, we also have to keep the data update.
( z0 obligate :ARG2 ( z1 keep :ARG0 ( z2 we ) :ARG1 ( z3 update :ARG0 z2 :ARG1 ( z4 data ) ) ) :mod ( z5 also ) :mod ( z6 besides ) )
(z0 / obligate-01
    :ARG2 (z1 / keep-02
              :ARG0 (z2 / we)
              :ARG1 (z3 / update-01
                        :ARG0 z2
                        :ARG1 (z4 / data)))
    :mod (z5 / also)
    :mod (z6 / besides))
Besides , we also have to keep the data update .
z0 :mod z5
z0 :mod z6
z0 :ARG2 z1
z1 :ARG0 z2
z3 :ARG1 z4
z1 :ARG1 z3
z3 :ARG0 z2