Hadoop is not set to fully take the place of data warehousing; rather, it acts as a supplementary technology for managing large amounts of unstructured and semi-structured data, whereas data warehouses continue to be vital for analysing structured, historical data. Each has its unique advantages, and both will probably exist side by side in contemporary data architectures.

NuSummit’s viewpoint on data and analytics indicates that Hadoop usually enhances rather than entirely substitutes traditional data warehousing. Although data warehouses are highly effective for structured data analysis, Hadoop provides a scalable and cost-efficient option for handling a variety of data types, including unstructured formats.