Patric McElroy started his presentation with summing up some Services challenges:

• Trust
• Reach
• Interaction (internet, latency, connections)
• Administration
• Resource governance (bad queries)

The focus will be on Data Model, Occasional connected and Business Intelligence.

Data will be stored using Windows Azure storage which is storage in the cloud.
SQL Data Services is the database in the cloud and extends the rich capabilities of SQL Server to the cloud.

It is the Data Services tier and is built on the SQL Server foundation.
Broad data platform capabilities as a service.

This picture wraps it up all nicely on what we have today and will get in the future on both the Data Model and the Operational Model.

On the client side there is ADO.Net Data Services (Astoria) which evols towards Flex Entities and on the Data Services side there is SQL Data Services which involves towards Schematized data.

There are three ways to share data: sharing via the Internet across devices and enterprises, sharing with offline capabilities and sharing through a sync service.

Business Intelligence is all about data mining and reporting.
For data mining SQL Server Analysis Services is put up in the cloud.
Reporting Services is also available through the cloud and everything adds up to
BI-as-a-Service (BIaaS)