BEGIN:VCALENDAR VERSION:2.0 PRODID:-//SQLBits/com CALSCALE:GREGORIAN METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VEVENT DTSTART:20120330T150000Z DTEND:20120330T160000Z LOCATION:SQLBits Conference - Morangis SUMMARY:Architectural Patterns and practices SQL Azure DESCRIPTION:

As a shared database
infrastructure in the cloud, SQL Azure provides the opportunity for creating
large workloads in a scalable and reliable environment. In this session we will
cover:

·        
The considerations
you should take and describe the methodology we use to make these design
decisions. 

·        
When to use a single
instance, when to use federations, when to use table/blob storage to
potentially offload historical data

·        
For these all
important questions we will walk through a number of examples to show how we
have made the trade-offs and why. 

·        
We will also cover
the techniques and methodology we use to monitor SQL Azure performance and
describe how you can leverage your on-premise skills in the cloud.

X-ALT-DESC;FMTTYPE=text/html:

Architectural Patterns and practices SQL Azure



As a shared database
infrastructure in the cloud, SQL Azure provides the opportunity for creating
large workloads in a scalable and reliable environment. In this session we will
cover:

·        
The considerations
you should take and describe the methodology we use to make these design
decisions. 

·        
When to use a single
instance, when to use federations, when to use table/blob storage to
potentially offload historical data

·        
For these all
important questions we will walk through a number of examples to show how we
have made the trade-offs and why. 

·        
We will also cover
the techniques and methodology we use to monitor SQL Azure performance and
describe how you can leverage your on-premise skills in the cloud.

Ewan Fairweather

Ewan has worked for Microsoft for seven years. He currently works as a program manager in the Business Platform Division on the SQL Customer Advisory Team (SQLCAT) working on large scale OLTP SQL applications based in the UK.

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