Hadoop is very useful for a lot of things – including analytics of some kinds, and ETL of some kinds, and for low-cost exploitation of data that is unsuitable for persisting in RDBMSs for a variety of reasons. It’s maturing, and steadily adding more capabilities, and is driving an economic refactoring of data storage and processing which will result in some (increasing amounts of) data being kept there and some (increasing amounts of) processes being performed there. In Gartner’s Logical Data Warehouse model, it occupies the spot for Distributed Process use cases. The relative size of that part of the landscape relative to repositories and to virtualization is yet to be determined. It will take some years to sort out, and it won’t stand still.
But platforms are not solutions. Hadoop can very much be a platform on which a DI solution can be built. But A solution? Not yet. For that, talk to the folks in the MQ referenced above. [added 2/13] Thanks for your comments and tweets – and keep them coming!
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