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As a non-PhD who doesn't work at Google I'm having trouble reading between the lines. What exactly is the offered improvement here?

Decoupled (compared to Hadoop) systems with distributed data and JIT processing?

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The offered improvement is, I guess, process Google-sized 'Big Data' without the significant issues of Hadoop style clusters. Beyond that, there's not enough details.

To give you an example, data import speed has always been an issue with Hadoop - Facebook are quite proud that they can import 320TB of data into their Hadoop clusters in a day.

Yes, it all seems very hand-wavey to me. "Map reduce is finished, and it's been replaced by... some other thing."

Paradigm shift -- new type of cloud processing engine + making it available to the outside.

Make sure you crystallise your synergies while going forward.

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