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BDAS stack has been very well summarized in the above link. Data is as useful as the decision it enables.
All components of BDAS frameworks share two goals -- increased parallelism and low latency. However it missed to mention MLBase which attempts to greatly simplify Machine learning (ML) and statistical techniques that are key to transforming big data into actionable knowledge. This is still under development and is slated to be  released soon.
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