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Scoop.it!
There has been a spate of product announcements and integrations over the past few weeks signaling that many big data workloads — including, and especially, Hadoop — will soon be ready to run reliably in the cloud. 
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Scoop.it!
This post from Chris Stuccio's blog takes a critical look at the use of Hadoop and Big Data as buzzwords by asking an interesting question: What if your data isn't as big as you think?
Luca Naso's insight:
Hadoop works well with Big Data, but really Big data. Before diving yourself into Hadoop check whether you really need it or maybe your data isn't that Big.
Here you can find solutions for datasets of a variety of sizes: 1. Hundreds of megabytes 2. Ten-ish gigabytes 3. A couple of terabytes 4. Five terabytes and larger
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I cannot think of any other place for Big Data but the cloud!
Amazon and Microsoft are clear leaders at the moment, but there is a lot of movements and Oracle might well catch up.
My Hadoop clusters have always been running on the cloud and will always be (I am currently using HDInsight on Azure).