Cloud computing and Datawarehousing

Following my last blog entry , my brain continued elaborating on the thought of Cloud Computing Adoption in the Enterprise.

Having worked in the Enterprise Space for So long , I am hard pressed to come to terms with the notion that Enterprises will be willing to completely outsource their Information Management and IT infrastructure and more so in a constrained environment like that of Google AppEngine.

Amazon AWS with its ala carte is still a better option to Enterprises as compared to Google App Engine. As you can pick an choose what you want. I think the key is that any Cloud computing vendor needs to "FIT IN" into the Enterprise's Architecture . This basically imply's that more entry points you have to the cloud infrastructure the more use-cases you will have for Enterprise Adoption. So , it seems like Amazon has a better strategy for Enterprise Adoption. Another use-case for Enterprise Adoption is via an SaaS vendor case in point - Vertica . Vertica is a user of cloud infrastructure from Amazon. But the way the cloud is coming into the Enterprise Architecture is via an SaaS vendor.


Another use-case that came to my mind is the impact to the EDW world. With things like BigTable and simpleDB exposed , why would an Enterprise invest in highend Databases like TerrrData - why not use a proven scalable platform like BigTable to run your analytics. In any case you need to do your EDW work in house on separate machines from your core systems - So using an on-demand infrastructure for such needs makes sense.