Do Hadoop and the Cloud Mean the End of the Closed Data Warehouse?` suggests that the traditional closed data warehouse model may be on its way out due to the rise of open tools like Hadoop, which is being driven by the need for lower costs and increased flexibility in handling large amounts of diverse data types. As businesses seek to cut costs, they are exploring hybrid arrangements that blend relational databases with NoSQL databases, such as Hadoop, to accommodate their growing data needs. The author notes that while private warehouses will continue to thrive in the long term, they will likely become more open to manipulation by open tools like Hadoop and MongoDB. Ultimately, the key is for businesses to understand the strengths of each tool and leverage them together to process and store large amounts of data efficiently.