Hadoop processes large datasets cost-effectively at scale, but its limitations include operating costs, a lack of enterprise skill sets and slow time to value. I&O leaders can mitigate this by adopting Hadoop as a service for faster ROI, but this compromises flexibility and produces vendor lock-in.
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