Microsoft and Amazon’s approach to cloud computing and the road to $128 billion

Microsoft and Amazon’s approach to cloud computing and the road to $128 billion

Microsoft’s cloud growth is led by Office 365, their productivity suite that’s been around for 20+ years.  For most Microsoft’s customers, that means exporting all their existing emails / contacts / calendars that reside on their internal Exchange server to Microsoft’s cloud. All the productivity applications (i.e., outlook, excel, powerpoint, access) still run on their local PC / notebook. 

A considerable amount of Amazon’s cloud revenue is derived from moving servers run in traditional corporate datacenter to Amazon’s datacenter.  A very different model.  Both Amazon and Microsoft are working on delivering both services.

Charley Blaine provides additional insights about how both companies reported financials are leading him to predict a $128 billion cloud industry

“the market for cloud services will hit $128 billion a year “in the next few years.” I’d guess sooner rather than later.”

Forbes – Amazon And Microsoft Will Tell Us A Lot About The Cloud’s Size

The “Big Three” are all in on big data / predictive modeling

The “Big Three” are all in on big data / predictive modeling

Here’s a quick summary on the technology behind next big thing – machine learning

All three major public cloud providers have connected their core storage services, and one or more of their database products, to the machine learning offerings:

  • Amazon Machine Learning connects to S3, Redshift and the MySQL flavor of its Relational Database Service (RDS).
  • Google Prediction API can read data from Google Cloud Storage, and BigQuery.
  • Microsoft supports both its Table and Blob storage services as data sources, as well as SQL Database, Hive tables in Hadoop and both OData feeds and flat files pointed to by a valid Internet URL.

Full Story: Machine learning is the next frontier in Big Data innovation. And the cloud is the next frontier within that frontier. By for Big on Data