Once the data has been collected both internally and externally, the question remains how to store it appropriately. Data lakes are unstructured pools of raw data  easy to access and update. You need to make sure your data flow meets your security and compliance requirements. Big data storage usually requires data warehouses, data lakes and data marts. Experts typically use a programming languagesuch as Python, Java or C++ to write and various tools to test and iterateoften over long timelines.
internally, several tools are required to collect data right.
( z0 require :ARG0 ( z1 collect :ARG1 ( z2 data ) :ARG2-of ( z3 right ) ) :ARG1 ( z4 tool :quant ( z5 several ) ) :ARG1-of ( z6 internal ) )
(z0 / require-01
    :ARG0 (z1 / collect-01
              :ARG1 (z2 / data)
              :ARG2-of (z3 / right-06))
    :ARG1 (z4 / tool
              :quant (z5 / several))
    :ARG1-of (z6 / internal-02))
internally , several tools are required to collect data right .
z4 :quant z5
z0 :ARG1 z4
z0 :ARG1-of z6
z0 :ARG0 z1
z1 :ARG1 z2
z1 :ARG2-of z3