In this contributed article, editorial consultant Jelani Harper discusses how organizations can now get the diversity of data required for meaningful machine learning results. The overhead of operating in hybrid, multi-cloud environments is less costly. The very worth of big data has increased with novel opportunities to comprehensively analyze business problems from an array of sources not previously available. However, these benefits are only realized if organizations can successfully deal with the greatest consequence of the dispersal of data to heterogeneous settings: the undue emphasis it places on data integrations.